A set of statistical methods for analyzing the correlations among several variables in order to estimate the number of fundamental dimensions that underlie the observed data and to describe and measure those dimensions. It is used frequently in the development of scoring systems for rating scales and questionnaires.
Assessment of psychological variables by the application of mathematical procedures.
The statistical reproducibility of measurements (often in a clinical context), including the testing of instrumentation or techniques to obtain reproducible results. The concept includes reproducibility of physiological measurements, which may be used to develop rules to assess probability or prognosis, or response to a stimulus; reproducibility of occurrence of a condition; and reproducibility of experimental results.
Predetermined sets of questions used to collect data - clinical data, social status, occupational group, etc. The term is often applied to a self-completed survey instrument.
Conversion from one language to another language.
Mathematical procedure that transforms a number of possibly correlated variables into a smaller number of uncorrelated variables called principal components.
Products resulting from the conversion of one language to another.
Theoretical representations that simulate psychological processes and/or social processes. These include the use of mathematical equations, computers, and other electronic equipment.
Comparison of various psychological, sociological, or cultural factors in order to assess the similarities or diversities occurring in two or more different cultures or societies.
A generic concept reflecting concern with the modification and enhancement of life attributes, e.g., physical, political, moral and social environment; the overall condition of a human life.
Check list, usually to be filled out by a person about himself, consisting of many statements about personal characteristics which the subject checks.
Standardized procedures utilizing rating scales or interview schedules carried out by health personnel for evaluating the degree of mental illness.
Studies in which the presence or absence of disease or other health-related variables are determined in each member of the study population or in a representative sample at one particular time. This contrasts with LONGITUDINAL STUDIES which are followed over a period of time.
A verbal or nonverbal means of communicating ideas or feelings.
Levels within a diagnostic group which are established by various measurement criteria applied to the seriousness of a patient's disorder.
Acquired or learned food preferences.
An aspect of personal behavior or lifestyle, environmental exposure, or inborn or inherited characteristic, which, on the basis of epidemiologic evidence, is known to be associated with a health-related condition considered important to prevent.
Standardized tests designed to measure abilities, as in intelligence, aptitude, and achievement tests, or to evaluate personality traits.
The degree to which the individual regards the health care service or product or the manner in which it is delivered by the provider as useful, effective, or beneficial.
Statistical formulations or analyses which, when applied to data and found to fit the data, are then used to verify the assumptions and parameters used in the analysis. Examples of statistical models are the linear model, binomial model, polynomial model, two-parameter model, etc.
A quality-of-life scale developed in the United States in 1972 as a measure of health status or dysfunction generated by a disease. It is a behaviorally based questionnaire for patients and addresses activities such as sleep and rest, mobility, recreation, home management, emotional behavior, social interaction, and the like. It measures the patient's perceived health status and is sensitive enough to detect changes or differences in health status occurring over time or between groups. (From Medical Care, vol.xix, no.8, August 1981, p.787-805)
Beliefs and values shared by all members of the organization. These shared values, which are subject to change, are reflected in the day to day management of the organization.
A personality assessment technique in which the subject or observer indicates the degree to which a standardized set of descriptive statements actually describes the subject. The term reflects "sorting" procedures occasionally used with this technique.
Categorical classification of MENTAL DISORDERS based on criteria sets with defining features. It is produced by the American Psychiatric Association. (DSM-IV, page xxii)
Cognitive mechanism based on expectations or beliefs about one's ability to perform actions necessary to produce a given effect. It is also a theoretical component of behavior change in various therapeutic treatments. (APA, Thesaurus of Psychological Index Terms, 1994)
The measurement of the health status for a given population using a variety of indices, including morbidity, mortality, and available health resources.
A person's view of himself.
Determination of the degree of a physical, mental, or emotional handicap. The diagnosis is applied to legal qualification for benefits and income under disability insurance and to eligibility for Social Security and workmen's compensation benefits.
Individuals enrolled in a school or formal educational program.
The performance of the basic activities of self care, such as dressing, ambulation, or eating.
Feeling or emotion of dread, apprehension, and impending disaster but not disabling as with ANXIETY DISORDERS.
Appraisal of one's own personal qualities or traits.
A country spanning from central Asia to the Pacific Ocean.
A state of harmony between internal needs and external demands and the processes used in achieving this condition. (From APA Thesaurus of Psychological Index Terms, 8th ed)
Maleness or femaleness as a constituent element or influence contributing to the production of a result. It may be applicable to the cause or effect of a circumstance. It is used with human or animal concepts but should be differentiated from SEX CHARACTERISTICS, anatomical or physiological manifestations of sex, and from SEX DISTRIBUTION, the number of males and females in given circumstances.
Public attitudes toward health, disease, and the medical care system.
Unexplained symptoms reported by veterans of the Persian Gulf War with Iraq in 1991. The symptoms reported include fatigue, skin rash, muscle and joint pain, headaches, loss of memory, shortness of breath, gastrointestinal and respiratory symptoms, and extreme sensitivity to commonly occurring chemicals. (Nature 1994 May 5;369(6475):8)
Attitudes of personnel toward their patients, other professionals, toward the medical care system, etc.
A collective expression for all behavior patterns acquired and socially transmitted through symbols. Culture includes customs, traditions, and language.
Tests designed to assess neurological function associated with certain behaviors. They are used in diagnosing brain dysfunction or damage and central nervous system disorders or injury.
The level of health of the individual, group, or population as subjectively assessed by the individual or by more objective measures.
A self-evaluation of health status.
The science and art of collecting, summarizing, and analyzing data that are subject to random variation. The term is also applied to the data themselves and to the summarization of the data.
Small-scale tests of methods and procedures to be used on a larger scale if the pilot study demonstrates that these methods and procedures can work.
Regular course of eating and drinking adopted by a person or animal.
Any negative tradition or behavior that is generally regarded as harmful to social welfare and forbidden within a cultural or social group.
The scientific study of variations in size, shape, and proportion of the cranium.
A set of statistical methods used to group variables or observations into strongly inter-related subgroups. In epidemiology, it may be used to analyze a closely grouped series of events or cases of disease or other health-related phenomenon with well-defined distribution patterns in relation to time or place or both.
Age as a constituent element or influence contributing to the production of a result. It may be applicable to the cause or the effect of a circumstance. It is used with human or animal concepts but should be differentiated from AGING, a physiological process, and TIME FACTORS which refers only to the passage of time.
The determination and evaluation of personality attributes by interviews, observations, tests, or scales. Articles concerning personality measurement are considered to be within scope of this term.
Depressive states usually of moderate intensity in contrast with major depression present in neurotic and psychotic disorders.
A statistical analytic technique used with discrete dependent variables, concerned with separating sets of observed values and allocating new values. It is sometimes used instead of regression analysis.
A food group comprised of EDIBLE PLANTS or their parts.
A statistical technique that isolates and assesses the contributions of categorical independent variables to variation in the mean of a continuous dependent variable.
Method for obtaining information through verbal responses, written or oral, from subjects.
Scales, questionnaires, tests, and other methods used to assess pain severity and duration in patients or experimental animals to aid in diagnosis, therapy, and physiological studies.
Stress wherein emotional factors predominate.
Analysis of word concepts by the association of polar adjectives, e.g., good-bad, with the concept, father. The adjectives are usually scaled in 7 steps. The subject's placement of the concept on the adjectival scale indicates the connotative meaning of the concept.
Social and economic factors that characterize the individual or group within the social structure.
Studies in which variables relating to an individual or group of individuals are assessed over a period of time.
The branch of applied psychology concerned with the application of psychologic principles and methods to industrial problems including selection and training of workers, working conditions, etc.
Application of statistical procedures to analyze specific observed or assumed facts from a particular study.
The reciprocal interaction of two or more persons.
Those aspects or characteristics which identify a culture.
Statistical measures of utilization and other aspects of the provision of health care services including hospitalization and ambulatory care.
Persons functioning as natural, adoptive, or substitute parents. The heading includes the concept of parenthood as well as preparation for becoming a parent.
Personal satisfaction relative to the work situation.
Research aimed at assessing the quality and effectiveness of health care as measured by the attainment of a specified end result or outcome. Measures include parameters such as improved health, lowered morbidity or mortality, and improvement of abnormal states (such as elevated blood pressure).
Aid for consistent recording of data such as tasks completed and observations noted.
The process by which the nature and meaning of sensory stimuli are recognized and interpreted.
An individual's objective and insightful awareness of the feelings and behavior of another person. It should be distinguished from sympathy, which is usually nonobjective and noncritical. It includes caring, which is the demonstration of an awareness of and a concern for the good of others. (From Bioethics Thesaurus, 1992)
Procedures for finding the mathematical function which best describes the relationship between a dependent variable and one or more independent variables. In linear regression (see LINEAR MODELS) the relationship is constrained to be a straight line and LEAST-SQUARES ANALYSIS is used to determine the best fit. In logistic regression (see LOGISTIC MODELS) the dependent variable is qualitative rather than continuously variable and LIKELIHOOD FUNCTIONS are used to find the best relationship. In multiple regression, the dependent variable is considered to depend on more than a single independent variable.
A set of techniques used when variation in several variables has to be studied simultaneously. In statistics, multivariate analysis is interpreted as any analytic method that allows simultaneous study of two or more dependent variables.
Country located in EUROPE. It is bordered by the NORTH SEA, BELGIUM, and GERMANY. Constituent areas are Aruba, Curacao, Sint Maarten, formerly included in the NETHERLANDS ANTILLES.
A systematic collection of factual data pertaining to health and disease in a human population within a given geographic area.
Standardized objective tests designed to facilitate the evaluation of personality.
Those factors which cause an organism to behave or act in either a goal-seeking or satisfying manner. They may be influenced by physiological drives or by external stimuli.
Diseases which have one or more of the following characteristics: they are permanent, leave residual disability, are caused by nonreversible pathological alteration, require special training of the patient for rehabilitation, or may be expected to require a long period of supervision, observation, or care. (Dictionary of Health Services Management, 2d ed)
Support systems that provide assistance and encouragement to individuals with physical or emotional disabilities in order that they may better cope. Informal social support is usually provided by friends, relatives, or peers, while formal assistance is provided by churches, groups, etc.
True-false questionnaire made up of items believed to indicate anxiety, in which the subject answers verbally the statement that describes him.
The aggregate of social and cultural institutions, forms, patterns, and processes that influence the life of an individual or community.
Intellectual or mental process whereby an organism obtains knowledge.
The development of systems to prevent accidents, injuries, and other adverse occurrences in an institutional setting. The concept includes prevention or reduction of adverse events or incidents involving employees, patients, or facilities. Examples include plans to reduce injuries from falls or plans for fire safety to promote a safe institutional environment.
A directed conversation aimed at eliciting information for psychiatric diagnosis, evaluation, treatment planning, etc. The interview may be conducted by a social worker or psychologist.
Disturbances in mental processes related to learning, thinking, reasoning, and judgment.
A method of data collection and a QUALITATIVE RESEARCH tool in which a small group of individuals are brought together and allowed to interact in a discussion of their opinions about topics, issues, or questions.
Any diagnostic evaluation using radioactive (unstable) isotopes. This diagnosis includes many nuclear medicine procedures as well as radioimmunoassay tests.
Any behavior caused by or affecting another individual, usually of the same species.
Confidence in or reliance on a person or thing.
A personality disorder in which there are oddities of thought (magical thinking, paranoid ideation, suspiciousness), perception (illusions, depersonalization), speech (digressive, vague, overelaborate), and behavior (inappropriate affect in social interactions, frequently social isolation) that are not severe enough to characterize schizophrenia.
Educational institutions providing facilities for teaching and research and authorized to grant academic degrees.
Persons who have a history of physical or psychological dependence on ETHANOL.
Studies in which subsets of a defined population are identified. These groups may or may not be exposed to factors hypothesized to influence the probability of the occurrence of a particular disease or other outcome. Cohorts are defined populations which, as a whole, are followed in an attempt to determine distinguishing subgroup characteristics.
The quality or state of being independent and self-directing, especially in making decisions, enabling professionals to exercise judgment as they see fit during the performance of their jobs.
Personality construct referring to an individual's perception of the locus of events as determined internally by his or her own behavior versus fate, luck, or external forces. (ERIC Thesaurus, 1996).
The individual's experience of a sense of fulfillment of a need or want and the quality or state of being satisfied.
The levels of excellence which characterize the health service or health care provided based on accepted standards of quality.
Physical surroundings or conditions of a hospital or other health facility and influence of these factors on patients and staff.
Individuals enrolled in a school of medicine or a formal educational program in medicine.
Study of mental processes and behavior of schizophrenics.
The feeling-tone accompaniment of an idea or mental representation. It is the most direct psychic derivative of instinct and the psychic representative of the various bodily changes by means of which instincts manifest themselves.
Binary classification measures to assess test results. Sensitivity or recall rate is the proportion of true positives. Specificity is the probability of correctly determining the absence of a condition. (From Last, Dictionary of Epidemiology, 2d ed)
Research carried out by nurses that uses interviews, data collection, observation, surveys, etc., to evaluate nursing, health, clinical, and nursing education programs and curricula, and which also demonstrates the value of such evaluation.
An anxiety disorder characterized by recurrent, persistent obsessions or compulsions. Obsessions are the intrusive ideas, thoughts, or images that are experienced as senseless or repugnant. Compulsions are repetitive and seemingly purposeful behavior which the individual generally recognizes as senseless and from which the individual does not derive pleasure although it may provide a release from tension.
Aromatic substances added to food before or after cooking to enhance its flavor. These are usually of vegetable origin.
Customer satisfaction or dissatisfaction with a benefit or service received.
Sensation of enjoyment or gratification.
A major deviation from normal patterns of behavior.
Systematic gathering of data for a particular purpose from various sources, including questionnaires, interviews, observation, existing records, and electronic devices. The process is usually preliminary to statistical analysis of the data.
Conversations with an individual or individuals held in order to obtain information about their background and other personal biographical data, their attitudes and opinions, etc. It includes school admission or job interviews.
Knowledge, attitudes, and associated behaviors which pertain to health-related topics such as PATHOLOGIC PROCESSES or diseases, their prevention, and treatment. This term refers to non-health workers and health workers (HEALTH PERSONNEL).
Testing for the amount of biodegradable organic material in a water sample by measuring the quantity of oxygen consumed by biodegradation of those materials over a specific time period.
Cultural and linguistic competence is a set of congruent behaviors, attitudes, and policies that come together in a system, agency, or among professionals that enables effective work in cross-cultural situations. Competence implies the capacity to function effectively as an individual and an organization within the context of the cultural beliefs, behaviors, and needs presented by consumers and their communities.
Those affective states which can be experienced and have arousing and motivational properties.
A personality trait rendering the individual acceptable in social or interpersonal relations. It is related to social acceptance, social approval, popularity, social status, leadership qualities, or any quality making him a socially desirable companion.
Adaptation of the person to the social environment. Adjustment may take place by adapting the self to the environment or by changing the environment. (From Campbell, Psychiatric Dictionary, 1996)
Observation of a population for a sufficient number of persons over a sufficient number of years to generate incidence or mortality rates subsequent to the selection of the study group.
A group of disorders characterized by physiological and psychological disturbances in appetite or food intake.
An oversimplified perception or conception especially of persons, social groups, etc.
Educational attainment or level of education of individuals.
Normal, appropriate sorrowful response to an immediate cause. It is self-limiting and gradually subsides within a reasonable time.
An affective disorder manifested by either a dysphoric mood or loss of interest or pleasure in usual activities. The mood disturbance is prominent and relatively persistent.
The experimental study of the relationship between the genotype of an organism and its behavior. The scope includes the effects of genes on simple sensory processes to complex organization of the nervous system.
The former British crown colony located off the southeast coast of China, comprised of Hong Kong Island, Kowloon Peninsula, and New Territories. The three sites were ceded to the British by the Chinese respectively in 1841, 1860, and 1898. Hong Kong reverted to China in July 1997. The name represents the Cantonese pronunciation of the Chinese xianggang, fragrant port, from xiang, perfume and gang, port or harbor, with reference to its currents sweetened by fresh water from a river west of it.
The relation between the mind and the body in a religious, social, spiritual, behavioral, and metaphysical context. This concept is significant in the field of alternative medicine. It differs from the relationship between physiologic processes and behavior where the emphasis is on the body's physiology ( = PSYCHOPHYSIOLOGY).
Sensitivity or attachment to religious values, or to things of the spirit as opposed to material or worldly interests. (from Merriam-Webster's Collegiate Dictionary, 10th ed, and Oxford English Dictionary, 2nd ed)
An enduring, learned predisposition to behave in a consistent way toward a given class of objects, or a persistent mental and/or neural state of readiness to react to a certain class of objects, not as they are but as they are conceived to be.
Behavior-response patterns that characterize the individual.
The fleshy or dry ripened ovary of a plant, enclosing the seed or seeds.
Systematic collections of factual data pertaining to the diet of a human population within a given geographic area.
A distribution in which a variable is distributed like the sum of the squares of any given independent random variable, each of which has a normal distribution with mean of zero and variance of one. The chi-square test is a statistical test based on comparison of a test statistic to a chi-square distribution. The oldest of these tests are used to detect whether two or more population distributions differ from one another.
Place or physical location of work or employment.
A cluster of metabolic risk factors for CARDIOVASCULAR DISEASES and TYPE 2 DIABETES MELLITUS. The major components of metabolic syndrome X include excess ABDOMINAL FAT; atherogenic DYSLIPIDEMIA; HYPERTENSION; HYPERGLYCEMIA; INSULIN RESISTANCE; a proinflammatory state; and a prothrombotic (THROMBOSIS) state. (from AHA/NHLBI/ADA Conference Proceedings, Circulation 2004; 109:551-556)
Studies in which individuals or populations are followed to assess the outcome of exposures, procedures, or effects of a characteristic, e.g., occurrence of disease.
The perceiving of attributes, characteristics, and behaviors of one's associates or social groups.
Parliamentary democracy located between France on the northeast and Portugual on the west and bordered by the Atlantic Ocean and the Mediterranean Sea.
An excessive stress reaction to one's occupational or professional environment. It is manifested by feelings of emotional and physical exhaustion coupled with a sense of frustration and failure.
The assessment of the functioning of an employee in relation to work.
Disorders related to substance abuse.
Individuals' concept of their own bodies.
Statistical models which describe the relationship between a qualitative dependent variable (that is, one which can take only certain discrete values, such as the presence or absence of a disease) and an independent variable. A common application is in epidemiology for estimating an individual's risk (probability of a disease) as a function of a given risk factor.
Disorders having the presence of physical symptoms that suggest a general medical condition but that are not fully explained by a another medical condition, by the direct effects of a substance, or by another mental disorder. The symptoms must cause clinically significant distress or impairment in social, occupational, or other areas of functioning. In contrast to FACTITIOUS DISORDERS and MALINGERING, the physical symptoms are not under voluntary control. (APA, DSM-V)
The inhabitants of rural areas or of small towns classified as rural.
What a person has in mind to do or bring about.
Skills in the use of language which lead to proficiency in written or spoken communication.
Disorders related to or resulting from abuse or mis-use of alcohol.
The interactions between physician and patient.
A group of people with a common cultural heritage that sets them apart from others in a variety of social relationships.
A severe emotional disorder of psychotic depth characteristically marked by a retreat from reality with delusion formation, HALLUCINATIONS, emotional disharmony, and regressive behavior.
In screening and diagnostic tests, the probability that a person with a positive test is a true positive (i.e., has the disease), is referred to as the predictive value of a positive test; whereas, the predictive value of a negative test is the probability that the person with a negative test does not have the disease. Predictive value is related to the sensitivity and specificity of the test.
The affective response to an actual current external danger which subsides with the elimination of the threatening condition.
Behaviors associated with the ingesting of alcoholic beverages, including social drinking.
The capability to perform acceptably those duties directly related to patient care.
The process by which an aspect of self image is developed based on in-group preference or ethnocentrism and a perception of belonging to a social or cultural group. (From APA, Thesaurus of Psychological Index Terms, 8th ed.)
A procedure consisting of a sequence of algebraic formulas and/or logical steps to calculate or determine a given task.
Persons living in the United States having origins in any of the black groups of Africa.
A social group consisting of parents or parent substitutes and children.
Behavior which may be manifested by destructive and attacking action which is verbal or physical, by covert attitudes of hostility or by obstructionism.

Development of the physical therapy outpatient satisfaction survey (PTOPS). (1/2223)

BACKGROUND AND PURPOSE: The purposes of this 3-phase study were (1) to identify the underlying components of outpatient satisfaction in physical therapy and (2) to develop a test that would yield reliable and valid measurements of these components. SUBJECTS: Three samples, consisting of 177, 257, and 173 outpatients from 21 facilities, were used in phases 1, 2, and 3, respectively. METHODS AND RESULTS: In phase 1, principal component analyses (PCAs), reliability checks, and correlations with social desirability scales were used to reduce a pool of 98 items to 32 items. These analyses identified a 5-component model of outpatient satisfaction in physical therapy. The phase 2 PCA, with a revised pool of 48 items, indicated that 4 components rather than 5 components represented the best model and resulted in the 34-item Physical Therapy Outpatient Satisfaction Survey (PTOPS). Factor analyses conducted with phase 2 and phase 3 data supported this conclusion and provided evidence for the internal validity of the PTOPS scores. The 4-component scales were labeled "Enhancers," "Detractors," "Location," and "Cost." Responses from subsamples of phase 3 subjects provided evidence for validity of scores in that the PTOPS components of "Enhancers," "Detractors," and "Cost" appeared to differentiate overtly satisfied patients from overtly dissatisfied patients. "Location" and "Enhancer" scores discriminated subjects with excellent attendance at scheduled physical therapy sessions from those with poor attendance. CONCLUSION AND DISCUSSION: In this study, we identified components of outpatient satisfaction in physical therapy and used them to develop a test that would yield valid and reliable measurements of these components.  (+info)

The psychometric properties of clinical rating scales used in multiple sclerosis. (2/2223)

OullII;l y Many clinical rating scales have been proposed to assess the impact of multiple sclerosis on patients, but only few have been evaluated formally for reliability, validity and responsiveness. We assessed the psychometric properties of five commonly used scales in multiple sclerosis, the Expanded Disability Status Scale (EDSS), the Scripps Neurological Rating Scale (SNRS), the Functional Independence Measure (FIM), the Ambulation Index (AI) and the Cambridge Multiple Sclerosis Basic Score (CAMBS). The score frequency distributions of all five scales were either bimodal (EDSS and AI) or severely skewed (SNRS, FIM and CAMBS). The reliability of each scale depended on the definition of 'agreement'. Inter-and intra-rater reliabilities were high when 'agreement' was considered to exist despite a difference of up to 1.0 EDSS point (two 0.5 steps), 13 SNRS points, 9 FIM points, 1 AI point and 1 point on the various CAMBS domains. The FIM, AI, and the relapse and progression domains of the CAMBS were sensitive to clinical change, but the EDSS and the SNRS were unresponsive. The validity of these scales as impairment (SNRS and EDSS) and disability (EDSS, FIM, AI and the disability domain of the CAMBS) measures was established. All scales correlated closely with other measures of handicap and quality of life. None of these scales satisfied the psychometric requirements of outcome measures completely, but each had some desirable properties. The SNRS and the EDSS were reliable and valid measures of impairment and disability, but they were unresponsive. The FIM was a reliable, valid and responsive measure of disability, but it is cumbersome to administer and has a limited content validity. The AI was a reliable and valid ambulation-related disability scale, but it was weakly responsive. The CAMBS was a reliable (all four domains) and responsive (relapse and progression domains) outcome measure, but had a limited validity (handicap domain). These psychometric properties should be considered when designing further clinical trials in multiple sclerosis.  (+info)

A principal-components approach based on heritability for combining phenotype information. (3/2223)

For many traits, genetically relevant disease definition is unclear. For this reason, researchers applying linkage analysis often obtain information on a variety of items. With a large number of items, however, the test statistic from a multivariate analysis may require a prohibitively expensive correction for the multiple comparisons. The researcher is faced, therefore, with the issue of choosing which variables or combinations of variables to use in the linkage analysis. One approach to combining items is to first subject the data to a principal components analysis, and then perform the linkage analysis of the first few principal components. However, principal-components analyses do not take family structure into account. Here, an approach is developed in which family structure is taken into account when combining the data. The essence of the approach is to define principal components of heritability as the scores with maximum heritability in the data set, subject to being uncorrelated with each other. The principal components of heritability may be calculated as the solutions to a generalized eigensystem problem. Four simulation experiments are used to compare the power of linkage analyses based on the principal components of heritability and the usual principal components. The first of the experiments corresponds to the null hypothesis of no linkage. The second corresponds to a setting where the two kinds of principal components coincide. The third corresponds to a setting in which they are quite different and where the first of the usual principal components is not expected to have any power beyond the type I error rate. The fourth set of experiments corresponds to a setting where the usual principal components and the principal components of heritability differ, but where the first of the usual principal components is not without power. The results of the simulation experiments indicate that the principal components of heritability can be substantially different from the standard principal components and that when they are different, substantial gains in power can result by using the principal components of heritability in place of the standard principal components in linkage analyses.  (+info)

Towards measurement of outcome for patients with varicose veins. (4/2223)

OBJECTIVE: To develop a valid and reliable outcome measure for patients with varicose veins. DESIGN: Postal questionnaire survey of patients with varicose veins. SETTING: Surgical outpatient departments and training general practices in Grampian region. SUBJECTS: 373 patients, 287 of whom had just been referred to hospital for their varicose veins and 86 who had just consulted a general practitioner for this condition and, for comparison, a random sample of 900 members of the general population. MAIN MEASURES: Content validity, internal consistency, and criterion validity. RESULTS: 281(76%) patients (mean age 45.8; 76% female) and 542(60%) of the general population (mean age 47.9; 54% female) responded. The questionnaire had good internal consistency as measured by item-total correlations. Factor analysis identified four important health factors: pain and dysfunction, cosmetic appearance, extent of varicosity and complications. The validity of the questionnaire was demonstrated by a high correlation with the SF-36 health profile, which is a general measure of patients' health. The perceived health of patients with varicose veins, as measured by the SF-36, was significantly lower than that of the sample of the general population adjusted for age and a lower proportion of women. CONCLUSION: A clinically derived questionnaire can provide a valid and reliable tool to assess the perceived health of patients with varicose veins. IMPLICATIONS: The questionnaire may be used to justify surgical treatment of varicose veins.  (+info)

Measuring intermediate outcomes of violence prevention programs targeting African-American male youth: an exploratory assessment of the psychometric properties of six psychosocial measures. (5/2223)

This study examined the psychometric properties of six psychosocial measures that may be useful indicators of intermediate outcomes of violence prevention programs targeting African-American male youth. Baseline and 6 month follow-up survey data are used from 223 African-American male 12-16 year olds participating in a violence prevention program evaluation study. The constructs of interest are beliefs supporting aggression, aggressive conflict-resolution style, hostility, ethnic identity, self-esteem and hopelessness. Each construct is measured as a multi-item scale. Exploratory factor analysis results provided limited support for the unidimensionality of these scales, thus suggesting that further scale development is warranted. Reliability coefficients for the scales ranged from 0.55 to 0.80. Bivariate analyses with baseline data indicate that all six measures have construct and criterion-related validity, as they are associated with each other and with four behavioral criteria in the expected directions. Predictive validity was also demonstrated for beliefs supporting aggression, aggressive conflict-resolution style, hostility and hopelessness which were associated with weapon-carrying behaviors measured in the 6 month follow-up survey both before and after controlling for corresponding behaviors measured in the baseline survey.  (+info)

Measuring attitudes towards smoking in the Community Intervention Trial for Smoking Cessation (COMMIT). (6/2223)

We present the development of indices using baseline data from the Evaluation Survey for the Community Intervention Trial for Smoking Cessation (COMMIT). The indices are designed to measure two primary attitude constructs that relate to smoking behavior: beliefs about smoking as a public health problem (SPHP); and norms and values concerning smoking (NVS). Two general approaches to index construction, the rational method and the factor analytic method, were used. Item analysis suggested good internal consistency for both indices (alpha > 0.75). Seven subconstructs emerged from the factor analysis accounting for 55.0% of the total variance. The SPHP and NVS items uniquely identify with four factors and three factors, respectively, confirming the validity of the two indices. Confirmatory factor analyses of a different data set provided further validation. Validity was also assessed by an examination of the relationships between index scores and smoking status. Smokers reported significantly higher scores than non-smokers on the two measures indicating, as anticipated, that smokers have more favorable attitudes towards smoking than non-smokers. These findings suggest that the two a priori constructs of SPHP and NVS are empirically distinguishable components of attitudes towards smoking, and that the indices developed here are reliable and valid measures of those constructs.  (+info)

Interpretations of healthy and unhealthy eating, and implications for dietary change. (7/2223)

Central to many considerations of health-related dietary change is the interpretation given to 'healthy' and 'unhealthy' eating. Results are reported from two studies which investigated people's understanding of these concepts. The first study involved structured interviews with 48 respondents: a wide range of interpretations of healthy and unhealthy eating was found using content analysis techniques. The second study (n = 242) used questionnaires to assess the extent to which different interpretations were endorsed. The extent to which different eating behaviours were perceived as healthy or unhealthy varied greatly. A principal components analysis of perceptions of healthy and unhealthy eating produced five separate factors. Some differences in perceptions were found for people of different age, gender and educational level. Objectively assessed dietary intake and perceived intake were found to be two distinct quantities. 'Healthy' eaters were found to perceive 'healthy eating' slightly differently to 'unhealthy' eaters. The results suggest that lay understanding of healthy eating does generally conform with dietary guidelines, and therefore health promotion priorities should focus on physical and psychological constraints to healthy eating, rather than attempting to increase the public's knowledge as a whole.  (+info)

Computerized tailored feedback to change cognitive determinants of smoking: a Dutch field experiment. (8/2223)

In the last decade, attempts have been made to improve the efficacy of minimal interventions by tailoring them to individual features. In the development of these tailored interventions, it is important to know which information in interventions is essential. Most smoking cessation interventions contain information on the outcomes of quitting and skills to be used in a quit attempt. The present study was designed to assess the cognitive changes caused by both sorts of information. Therefore, 246 smokers who were planning to quit within 6 months were randomly assigned to three different conditions. In the first condition, the respondents received a computer-generated tailored letter on the outcomes of smoking cessation. In the second condition, the respondents received a computer-generated tailored letter containing self-efficacy enhancing information, mainly on skills. In both conditions, the contents of the letters were based on the pre-test scores of the participants. Participants in the control condition did not receive any cessation information. The results show that information on the outcomes of quitting changed expected outcomes while information on coping skills changed self-efficacy expectations, in comparison with the control condition. Comparing both experimental conditions, information on the outcomes led to changes in expected outcomes, whereas information on coping skills did not lead to higher self-efficacy expectations than information on the outcomes of quitting. It is concluded that the hypothesized effects were partly verified.  (+info)

Factor analysis models with continuous and ordinal responses are a useful tool for assessing relations between the latent variables and mixed observed responses. These models have been successfully applied to many different fields, including behavioral, educational, and social-psychological sciences. However, within the Bayesian analysis framework, most developments are constrained within parametric families, of which the particular distributions are specified for the parameters of interest. This leads to difficulty in dealing with outliers and/or distribution deviations. In this paper, we propose a Bayesian semiparametric modeling for factor analysis model with continuous and ordinal variables. A truncated stick-breaking prior is used to model the distributions of the intercept and/or covariance structural parameters. Bayesian posterior analysis is carried out through the simulation-based method. Blocked Gibbs sampler is implemented to draw observations from the complicated posterior. For model
Within structural equation modeling, the most prevalent model to investigate measurement bias is the multigroup model. Equal factor loadings and intercepts across groups in a multigroup model represent strong factorial invariance (absence of measurement bias) across groups. Although this approach is possible in principle, it is hardly practical when the number of groups is large or when the group size is relatively small. Jak, Oort and Dolan (2013) showed how strong factorial invariance across large numbers of groups can be tested in a multilevel structural equation modeling framework, by treating group as a random instead of a fixed variable. In the present study, this model is extended for use with three-level data. The proposed method is illustrated with an investigation of strong factorial invariance across 156 school classes and 50 schools in a Dutch dyscalculia test, using three-level structural equation modeling.
2018, Springer Science+Business Media, LLC, part of Springer Nature. The construct of dysphoria has been described inconsistently across a broad range of psychopathology. The term has been used to refer to an irritable state of discontent, but is also thought to incorporate anger, resentment and nonspecific symptoms associated with anxiety and depression, such as tension and unhappiness. The Nepean Dysphoria Scale has been developed to allow assessment of dysphoria, but its factor structure has not yet been investigated in clinical samples. We aimed to determine the latent structure of dysphoria as reflected by the Nepean Dysphoria Scale, using a clinical sample. Adults (N = 206) seeking treatment at a range of mental health services were administered the Nepean Dysphoria Scale. Four putative factor structures were investigated using confirmatory factor analysis: a single-factor model, a hierarchical model, a bifactor model and a four-factor model as identified in previous studies. No model fit ...
This study examined the psychometric properties of the Revised Illness Perception Questionnaire adapted for a clinical sample of low-income Latinos suffering from depression. Participants (N = 339) were recruited from public primary care centers. Their average age was 49.73 years and the majority was foreign born females of either Mexican or Central American descent. Confirmatory factor analysis was used to test the factor structure of this measure. Construct and discriminant validity and internal consistency were evaluated. After the elimination of three items because of low factor loadings (| .40) and the specification of seven error covariances, a revised model composed of 24 items had adequate goodness-of-fit indices and factor loadings, supporting construct validity. Each of the subscales reported satisfactory internal consistency. Intercorrelations between the 5 illness perception factors provided initial support for the discriminant validity of these factors in the context of depression. The
TY - JOUR. T1 - Ignoring clustering in confirmatory factor analysis: Some consequences for model fit and standardized parameter estimates. AU - Pornprasertmanit, S. AU - Lee, Jae Hoon. AU - Preacher, K J. PY - 2014. Y1 - 2014. N2 - In many situations, researchers collect multilevel (clustered or nested) data yet analyze the data either Ignoring the clustering (disaggregation) or averaging the micro-level units within each cluster and analyzing the aggregated data at the macro level (aggregation). In this study we investigate the effects of Ignoring the nested nature of data in confirmatory factor analysis (CFA). The bias incurred by Ignoring clustering is examined in terms of model fit and standardized parameter estimates, which are usually of interest to researchers who use CFA. We find that the disaggregation approach increases model misfit, especially when the intraclass correlation (ICC) is high, whereas the aggregation approach results in accurate detection of model misfit in the macro ...
Evaluating the psychometric properties of a newly developed instrument is critical to understanding how well an instrument measures what it intends to measure, and ensuring proposed use and interpretation of questionnaire scores are valid. The current study uses Structural Equation Modeling (SEM) techniques to examine the factorial structure and invariance properties of a newly developed construct called Superwoman Schema (SWS). The SWS instrument describes the characteristics of a superwoman (strong woman) which consists of 35 items representing five subscales: obligation to present an image of strength, obligation to suppress emotions, resistance to being vulnerable, intense motivation to succeed, and obligation to help others. Multigroup confirmatory factor analysis (CFA) and a multiple indicators multiple causes (MIMIC) model were the SEM approaches used to examine measurement invariance in the SWS instrument. Specifically in the multigroup CFA analyses, configural invariance,
Conventional factor models assume that factor loadings are fixed over a long horizon of time, which appears overly restrictive and unrealistic in applications. In this paper, we introduce a time-varying factor model where factor loadings are allowed to change smoothly over time. We propose a local version of the principal component method to estimate the latent factors and time-varying factor loadings simultaneously. We establish the limiting distributions of the estimated factors and factor loadings in the standard large N and large T framework. We also propose a BIC-type information criterion to determine the number of factors, which can be used in models with either time-varying or time-invariant factor models. Based on the comparison between the estimates of the common components under the null hypothesis of no structural changes and those under the alternative, we propose a consistent test for structural changes in factor loadings. We establish the null distribution, the asymptotic local power
RESULTS: Mean age of participants was 38.13 years (SD = 11.45) and all men were married. Cronbach α of the MGSIS-I was 0.89 and interclass correlation coefficients ranged from 0.70 to 0.94. Significant correlations were found between the MGSIS-I and the International Index of Erectile Function (P , .01), whereas correlation of the scale with non-similar scales was lower than with similar scale (confirming convergent and divergent validity). The scale could differentiate between subgroups in age, smoking status, and income (known-group validity). A single-factor solution that explained 70% variance of the scale was explored using exploratory factor analysis (confirming uni-dimensionality); confirmatory factor analysis indicated better fitness for the five-item version than the seven-item version of the MGSIS-I (root mean square error of approximation = 0.05, comparative fit index , 1.00 vs root mean square error of approximation = 0.10, comparative fit index , 0.97, respectively ...
Background: Depression and anxiety in patients with coronary heart disease (CHD) is associated with a poorer prognosis. Therefore, the screening for psychological distress is strongly recommended in cardiac care and rehabilitation. The Hospital Anxiety and Depression Scale (HADS) is a widely used screening tool that has demonstrated good sensitivity and specificity for mental disorders. The factor structure of the HADS was investigated in CHD populations across three countries (Germany, Hong Kong, United Kingdom). Methods: In total, HADS data from 1793 patients with CHD were explored using confirmatory factor analysis to establish the underlying factor structure of the instrument. Results: Three-factor models were found to offer a superior fit to the data compared with two-factor (anxiety and depression) models in all countries. The anxiety items can be separated in a factor labelled autonomic anxiety and negative affectivity. Conclusions: The HADS offers good possibilities to detect distressed ...
This study investigated the item parameter recovery of two methods of factor analysis. The methods researched were a traditional factor analysis of tetrachoric correlation coefficients and an IRT approach to factor analysis which utilizes marginal maximum likelihood estimation using an EM algorithm (MMLE-EM). Dichotomous item response data was generated under the 2-parameter normal ogive model (2PNOM) using PARDSIM software. Examinee abilities were sampled from both the standard normal and uniform distributions. True item discrimination, a, was normal with a mean of .75 and a standard deviation of .10. True b, item difficulty, was specified as uniform [-2, 2]. The two distributions of abilities were completely crossed with three test lengths (n= 30, 60, and 100) and three sample sizes (N = 50, 500, and 1000). Each of the 18 conditions was replicated 5 times, resulting in 90 datasets. PRELIS software was used to conduct a traditional factor analysis on the tetrachoric correlations. The IRT approach to
Factor analysis and cluster analysis differ in how they are applied to real data. Because factor analysis has the ability to reduce a unwieldy set of variables to a much smaller set of factors, it is suitable for simplifying complex models. Factor analysis also has a confirmatory use, in which the researcher can develop a set of hypotheses regarding how variables in the data are related. The researcher can then run factor analysis on the data set to confirm or deny these hypotheses. Cluster analysis, on the other hand, is suitable for classifying objects according to certain criteria. For example, a researcher can measure certain aspects of a group of newly-discovered plants and place these plants into species categories by employing cluster analysis.. ...
Published on 11 March 2014. PURPOSE: The role of various foods and nutrients, and their combinations, on prostate cancer risk remains largely undefined.. We addressed therefore the issue of complex dietary patterns.. METHODS: We analyzed data from an Italian case-control study, including 1,294 men with prostate cancer and 1,451 hospital controls. We carried out an exploratory principal component factor analysis on 28 selected nutrients in order to identify dietary patterns. We estimated odds ratios (ORs) and corresponding confidence intervals (CIs) using logistic regression models on quintiles of factor scores, adjusting for major confounding variables.. RESULTS: We identified five dietary patterns, labeled Animal Products, Vitamins and Fiber, Starch-rich, Vegetable Unsaturated Fatty Acids (VUFA), and Animal Unsaturated Fatty Acids (AUFA). We found positive associations between prostate cancer and Animal Products (OR for the highest vs. the lowest score quintile: 1.51, 95 % CI ...
Provided that the factor analysis is itself valid, then you can replace your 20 predictors with the 5 factor score variables. That is, there is no special relationship between multinomial logistic regression and factor analysis that makes the application of factor analysis as a way of pre-processing the data invalid. In terms of the validity of the factor analysis, you may want to use dimension reduction technique that are designed for categorical data. From memory, SPSS has one or two (HOMALS and Categorical Principal Components Analysis). The other practical challenge is that it is possible that the best predictor variable may end up with relatively little weight in the factor analysis, so it may be useful to only do the factor analysis with variables that are known to have some predictive relationship with your dependent variable. ...
The study purpose was to validate the psychometric properties of a Spanish-language version of the weight pressures in sport scale for male athletes. The weight pressures in sport scale for male athletes assesses risk factors associated with sport-specific weight pressures from coaches, peers, and team uniform. The scale was back translated and administered to 407 Spanish male college athletes. The sample was randomly split to perform the exploratory and confirmatory analysis. After item analysis, three items were removed. The exploratory analysis identified two latent constructs (referring to coaches and teammates pressures, and pressures due to uniform), and the confirmatory analysis produced a two-factor model (comparative fit indexSB = .946, Tucker-Lewis indexSB = .925, root mean square of approximationSB = .071, standardized root mean square residualSB = .068). The overall scale showed adequate internal consistency (α = .82) and demonstrated adequate convergent validity with the other ...
This package implements a Bayesian sparse factor model for the joint analysis of paired datasets, one is the gene expression dataset and the other is the drug sensitivity profiles, measured across the same panel of samples, e.g., cell lines. Prior knowledge about gene-pathway associations can be easily incorporated in the model to aid the inference of drug-pathway associations.
Development, Administration and Confirmatory Factor Analysis of a Secondary School Test Based on the Theory of Successful Intelligence
Confirmatory factor analysis, standardized estimates. TE = Treatment Effectiveness, GS = General Satisfaction, ID = Impact on Activities of Daily Living, CU = C
A theoretical and computational introduction to factor analysis as a method for understanding complex multivariate data in applied social/health science research. Principal components analysis (PCA), exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and applications of structural equation modeling (SEM) will be examined. Additional topics may include scale development, multi-group analysis, and methods/concerns about measurement invariance ...
ANOVA Determining Which Means Differ in Single Factor Models. Single Factor Models Review of Assumptions. Recall that the problem solved by ANOVA is to determine if at least one of the true mean values of several different treatments differs from the others. For ANOVA we assumed: Slideshow 6806389 by baxter-kemp
A New Decision Making Model based on Factor Analysis (FA), F-ANP, and F-ARAS for Selecting and Ranking Maintenance Strategies: 10.4018/IJBAN.2016100103: Today, companies have admired that maintenance is a profitable commercial element. Therefore, its role in modern manufacturing systems has become more
Chinas Food Security Evaluation Based on Factor Analysis. . Biblioteca virtual para leer y descargar libros, documentos, trabajos y tesis universitarias en PDF. Material universiario, documentación y tareas realizadas por universitarios en nuestra biblioteca. Para descargar gratis y para leer online.
OBJECTIVE. Having access to high-quality, rigorously developed, valid visual-motor integration assessment tools is the first step in the process of providing effective clinical services to children presenting with visual-motor integration problems. The aim of this study was to examine the factor structure of four visual-motor integration instruments through factor analysis.. METHOD. The participants included 400 children ages 5 to 12, recruited from six schools in the Melbourne metropolitan area, Victoria, Australia. Children completed the Developmental Test of Visual-Motor Integration (VMI), Test of Visual-Motor Integration (TVMI), Test of Visual-Motor Skills-Revised (TVMS-R), and Slosson Visual-Motor Performance Test (SVMPT). The factor analysis was completed using SPSS.. RESULTS. Results indicated that the VMI displayed six factors; TVMI, three factors; TVMS-R, four factors; and SVMPT, three factors.. CONCLUSION. The VMI, TVMI, TVMS-R, and SVMPT exhibited multidimensionality, and it is ...
Alessi, L., Barigozzi, M. and Capassoc, M. (2010). Improved penalization for determining the number of factors in approximate factor models. Statistics and Probability Letters, 80, 1806-1813.. Bai, J. (2003). Inferential theory for factor models of large dimensions. Econometrica. 71 135-171.. Bai, J. and Li, K. (2012). Statistical analysis of factor models of high dimension. Ann. Statist. 40, 436-465.. Bai, J. and Ng, S.(2002). Determining the number of factors in approximate factor models. Econometrica. 70 191-221.. Bickel, P. and Levina, E. (2008a). Covariance regularization by thresholding. Ann. Statist. 36 2577-2604.. Bickel, P. and Levina, E. (2008b). Regularized estimation of large covariance matrices. Ann. Statist. 36 199-227.. Bien, J. and Tibshirani, R. (2011). Sparse estimation of a covariance matrix. Biometrika. 98, 807-820.. Breitung, J. and Tenhofen, J. (2011). GLS estimation of dynamic factor models. J. Amer. Statist. Assoc. 106, 1150-1166.. Cai, T. and Liu, W. (2011). Adaptive ...
CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Existing empirical literature on the risk-return relation uses a relatively small amount of conditioning information to model the conditional mean and conditional volatility of excess stock market returns. We use dynamic factor analysis for large datasets to summarize a large amount of economic information by few estimated factors, and find that three new factors- termed
Recovery-oriented services are a goal for policy and practice in the Australian mental health service system. Evidence-based reform requires an instrument to measure knowledge of recovery concepts. The Recovery Knowledge Inventory (RKI) was designed for this purpose, however, its suitability and validity for student health professionals has not been evaluated. The purpose of the current article is to report the psychometric features of the RKI for measuring nursing students views on recovery. The RKI, a self-report measure, consists of four scales: (I) Roles and Responsibilities, (II) Non-Linearity of the Recovery Process, (III) Roles of Self-Definition and Peers, and (IV) Expectations Regarding Recovery. Confirmatory and exploratory factor analyses of the baseline data (n = 167) were applied to assess validity and reliability. Exploratory factor analyses generally replicated the item structure suggested by the three main scales, however more stringent analyses (confirmatory factor analysis) did ...
Table 5 shows that 87.1 per cent of the participants would prefer to find a job within a month. Further, 75.6 per cent expected to find work within a month. 42.3 per cent of the participants asked for a job every day, with 34.6 per cent asking once, twice or three times, while 6.3 per cent were not looking for a job at that time. Only 4.2 per cent of the participants never enquired about the availability of work, while 9.2 per cent never presented themselves for work.. Factor analysis. Exploratory factor analysis was used to explore the factor structure of the EUQ. A simple principal component analysis was carried out on the 26 items of the EUQ. An analysis of the eigenvalues (, 1.00; Tabachnick & Fidell, 2007) indicated that four factors explained 45.65 per cent of the variance. The scree plot confirmed that four factors could be extracted. A principal factor analysis with a direct Oblimin rotation was then performed. The results of the principal factor analysis with loadings of variables on ...
Attitudes is a key help-seeking construct that influences treatment seeking behavior via intention to seek help, per the theory of planned behavior (TPB). This article presents the development and psychometric evaluation of the Mental Help Seeking Attitudes Scale (MHSAS), designed to measure respondents overall evaluation (unfavorable vs. favorable) of their seeking help from a mental health professional. In Study 1 (N = 857 United States adults), exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and item response theory (IRT) analysis were used to identify an optimal set of 9 items that demonstrated initial evidence of internal consistency, unidimensionality, and strong measurement equivalence/invariance (ME/I) across gender, past help-seeking experience, and psychological distress ...
RNA-seq is a powerful tool for measuring transcriptomes, especially for identifying differentially expressed genes or transcripts (DEGs) between sample groups. A number of methods have been developed for this task, and several evaluation studies have also been reported. However, those evaluations so far have been restricted to two-group comparisons. Accumulations of comparative studies for multi-group data are also desired. We compare 12 pipelines available in nine R packages for detecting differential expressions (DE) from multi-group RNA-seq count data, focusing on three-group data with or without replicates. We evaluate those pipelines on the basis of both simulation data and real count data. As a result, the pipelines in the TCC package performed comparably to or better than other pipelines under various simulation scenarios. TCC implements a multi-step normalization strategy (called DEGES) that internally uses functions provided by other representative packages (edgeR, DESeq2, and so on). We found
Abstract:. PURPOSE: to develop a tool for measuring the difficulty of intravenous line insertion in cancer patients (DIVA-CP) receiving peripheral chemotherapy.. METHODS: a pilot-validation study divided into two phases was performed in a north-eastern Italian outpatient chemotherapy centre. In the first phase, a review of the literature and brainstorming sessions/direct discussions among expert oncology nurses were used to develop items on the DIVA-CP tool, and a panel of expert oncology nurses assessed the tool face and content validity. In the second phase, 260 adult patients undergoing single chemotherapy cycles were consecutively enrolled. Data was analysed for construct validity (explorative factor analysis) and inter-rater reliability (Cohens Kappa).. RESULTS: a 10-item tool was developed with four factors that were identified through factor analysis, explaining a total variance of 61.578%: accessibility to first choice veins (23.057%), venous fragility (15.197%), probable difficulties ...
TY - JOUR. T1 - Associations between respiratory diseases and dietary patterns derived by factor analysis and reduced rank regression. AU - Lin, Yong Pei. AU - Kao, Ya Chun. AU - Pan, Wen Harn. AU - Yang, Yao Hsu. AU - Chen, Yang Ching. AU - Lee, Yungling Leo. PY - 2016/7/1. Y1 - 2016/7/1. N2 - Background/Aims: The study aims to identify childrens dietary patterns and explore the relationship between dietary patterns and respiratory diseases. Methods: Subjects were 2,397 fourth graders in 14 Taiwanese communities who participated in the Taiwan Children Health Study. This study is based on an evaluation of dietary patterns, performed from April until June 2011. Information pertaining to respiratory disease was obtained by The International Study of Asthma and Allergies in Childhood questionnaire, and dietary intake data obtained by food frequency questionnaire. Factor analysis and reduced rank regression (RRR) were both used to analyze dietary patterns. Results: Using factor analysis, it was ...
Urban MICE competitiveness research consists of two clusters, one that is public-statistics-based and another that is questionnaire-based. Supply-side research on urban MICE competitiveness is rare. Based on the findings of Chen (2014) and other scholars, the purpose of this paper is to design counterpart statistical indicators to empirically analyze CMCA member cities.,After calculating the standardized Z value of the original statistical data for 17 CMCA member cities, the authors conducted confirmatory factor analysis for the first-level principal components, based on which hierarchical clustering was performed; then, regression analysis was conducted with the MICE profit factor as the dependent variable and the cost factor, tight support factor and facilitating factor as the independent variables to support publishing articles.,The confirmatory factor analysis showed that the urban MICE competitiveness indicators from the supply-side perspective include the profit factor, cost factor, tight support
Current reviews outside of sport indicate that the Life Orientation Test-Revised (LOT-R) items load on two separate factors (optimism and pessimism) and, therefore, should be treated as independent constructs. However, researchers in the sport scienc
Within an embodied cognition framework, it is argued that presence in a virtual environment (VE) develops from the construction of a spatial-functional mental model of the VE. Two cognitive processes lead to this model: the representation of bodily actions as possible actions in the VE, and the suppression of incompatible sensory input. It is hypothesized that the conscious sense of presence reflects these two components as spatial presence and involvement. This prediction was confirmed in two studies (N = 246 and N = 296) assessing self-reports of presence and immersion experiences. Additionally, judgments of realness were observed as a third presence component. A second-order factor analysis showed a distinction between presence, immersion, and interaction factors. Building on these results, a thirteen-item presence scale consisting of three independent components was developed and verified using confirmatory factor analyses across the two studies. ...
Spector and Fleishman (1998) used exploratory and confirmatory factor analyses as well as Item Response Theory to analyze data of the combined ADL/IADL scale, which included 16 items and was collected through the NLTCS project. This study used only data from individuals who reported disabled in at least one of the disability indicators. Results of exploratory and confirmatory factor analyses provided supportive evidence for the unidimensionality of the combined scale. In addition, the authors made a comparison between the goodness-of-fit of the one-parameter and that of the two-parameter IRT model. It was found that the one-parameter model yielded a sufficient good fit, which is used as the supporting evidence for the feasibility of using a composite score to summarize the ADL/IADL data ...
Comparing groups with respect to hypothetical constructs requires that the measurement models are equal across groups. Otherwise conclusions drawn from the observed indicators regarding differences at the latent level (mean differences, differences in the structural relations) might be severly distorted. This article provides a state of the art on how to apply multi-group confirmatory factor analysis to assess measurement invariance. The required steps in the analysis of the observed indicator means and variances/covariances are described, placing special emphasis on how to identify noninvariant indicators. The procedure is demonstrated considering the construct brand strength (Brand Potential Index, BPI®) introduced by GfK Market Research as an example ...
Experienced runners completed a Thoughts During Running Scale (TORS) immediately after a typical training run to assess the prevalence of certain thoughts during running. The Profile of Mood States (POMS) was also completed before and after the run. Confirmatory factor analyses revealed that a five-factor model provided better fit than simpler models. Items concerning the demands of the running activity and the monitoring of body responses loaded on one associative factor. The four nonassociative factors in this model were labeled Daily Events, Interpersonal Relationships, External Surroundings, and Spiritual Reflection. Correlational analyses indicated small but significant relationships between the TDRS dimensions and changes in mood. Increases in vigor were correlated with the tendency to engage in nonassociative thought, and decreases in tension and anxiety were found among those who thought about interpersonal relationships during the run. These results supplement findings on the ...
TY - JOUR. T1 - A multi-population evaluation of the Poisson common factor model for projecting mortality jointly for both sexes. AU - Li, Jackie. AU - Tickle, Leonie. AU - Parr, Nick. PY - 2016/12/1. Y1 - 2016/12/1. N2 - Mortality forecasts are critically important inputs to the consideration of a range of demographically-related policy challenges facing governments in more developed countries. While methods for jointly forecasting mortality for sub-populations offer the advantage of avoiding undesirable divergence in the forecasts of related populations, little is known about whether they improve forecast accuracy. Using mortality data from ten populations, we evaluate the data fitting and forecast performance of the Poisson common factor model (PCFM) for projecting both sexes mortality jointly against the Poisson Lee-Carter model applied separately to each sex. We find that overall the PCFM generates the more desirable results. Firstly, the PCFM ensures that the projected male-to-female ...
Downloadable! We use a heterogeneous panel VAR model identified through factor analysis to study the dynamic response of exports, imports, and per capita GDP growth to a
Author Summary The transcriptional responses of human hosts towards influenza viral pathogens are important for understanding virus-mediated immunopathology. Despite great advances gained through studies using model organisms, the complete temporal host transcriptional responses in a natural human system are poorly understood. In a human challenge study using live influenza (H3N2/Wisconsin) viruses, we conducted a clinically uninformed (unsupervised) factor analysis on gene expression profiles and established an ab initio molecular signature that strongly correlates to symptomatic clinical disease. This is followed by the identification of 42 biomarkers whose expression patterns best differentiate early from late phases of infection. In parallel, a clinically informed (supervised) analysis revealed over-stimulation of multiple viral sensing pathways in symptomatic hosts and linked their temporal trajectory with development of diverse clinical signs and symptoms. The resultant inflammatory cytokine
In 1972, Peter Mazur, Stanley Leibo, and Ernest Chu published, A Two-Factor Hypothesis of Freezing Injury: Evidence from Chinese Hamster Tissue-culture Cells, hereafter, A Two-Factor Hypothesis of Freezing Injury, in the journal, Experimental Cell Research. In the article, the authors uncover that exposure to high salt concentrations and the formation of ice crystals within cells are two factors that can harm cells during cryopreservation. Cryopreservation is the freezing of cells to preserve them for storage, study, or later use. Mazur originally suggested the two factors in a 1970 paper, but that article was based on evidence from simple yeast cells. By using hamster cells in 1972, Mazur, Leibo, and Chu confirmed that Mazurs two-factor hypothesis applied to more complex mammalian cells. The article dispelled the widely accepted notion that rapid cooling rates were safest for all cells, and instead showed that each kind of cell had a different optimal cooling rate depending on the solution ...
The following answer describes four methods of finding the greatest common factor, with examples, and several tricks or shortcuts that can make it easier. Method: Guess and Refine Sometimes, you can look at two numbers and make a good guess that you can refine. Example 1: Find the greatest common factor of 45 and 50. Because both numbers end in either a 5 or 0, you know that they are both divisible by 5. If you divide both numbers by 5 and the results have no common factors (except 1), 5 is the greatest common factor. 45 ÷ 5 = 9 50 ÷ 5 = 10 Since 9 and 10 are consecutive numbers, they have no common factors. Therefore, the greatest common factor is 5. Example 2: Find the greatest common factor of 150 and 750. Both numbers end in 50, so they are both divisible by 50. If you divide both numbers by 50 and the results have another common factor, you continue identifying common factors until you have a pair without common factors. 150 ÷ 50 = 3 750 ÷ 50 = 15 Since 15 is divisible by 3, and 3 is
The literature has offered an interesting debate about whether the performance of Fama-Frenchs three-factor benchmark model is inadequate because it fails to pass some model specification tests and its R2 is not convincingly high in cross-sectional estimations. Previous studies have been quite limited, since they only focused on the time-series procedure with many models. We extend their work by providing a more robust investigation of the performance of several well-regarded pricing models in pooled portfolios and other portfolios sorted by new and important anomalies, using cross-sectional GMM tests for robustness. Finally, we find that, in addition to Fama and Frenchs five-factor model proposed in 1993, Fama-Frenchs three-factor model augmented by other factors usually outperforms Fama-Frenchs three-factor model across a significant proportion of different portfolios. In particular, Frazzini, Kabiller, and Pedersens model shows the best overall performance and consistency across ...
Downloadable! Diffusion functions in term-structure models are measures of uncertainty about future price movements and are directly related to the risk associated with holding financial securities. Correct specification of diffusion functions is crucial in pricing options and other derivative securities. In contrast to the standard parametric two-factor models, we propose a non-parametric two-factor term-structure model that imposes no restrictions on the functional forms of the diffusion functions. Hence, this model allows for maximum flexibility when fitting diffusion functions into data. A non-parametric procedure is developed for estimating the diffusion functions, based on the discretely sampled observations. The convergence properties and the asymptotic distributions of the proposed non-parametric estimators of the diffusion functions with multivariate dimensions are also obtained. Based on U.S. data, the non-parametric prices of the bonds and bond options are computed and compared with those
TY - JOUR. T1 - Testing the factor structure of the Family Quality of Life Survey - 2006. AU - Isaacs, B. AU - Wang, M. AU - Samuel, P. AU - Ajuwon, P. AU - Baum, N. AU - Edwards, M. AU - Rillotta, Fiona. PY - 2012/1. Y1 - 2012/1. N2 - Background Although the Family Quality of Life Survey - 2006 (FQOLS-2006) is being used in research, there is little evidence to support its hypothesised domain structure. The purpose of this study was to test the domain structure of the survey using confirmatory factor analysis. Method Samples from Australia, Canada, Nigeria and the USA were analysed using structural equation modelling. The data from Australia, Canada and the USA were combined on the assumption that these countries are similar, at least to some degree, in economic development, language and culture. The Nigerian data were analysed on its own. The analysis was undertaken in two phases. First, the hypothesis that each of nine domains of the FQOLS-2006 is a unidimensional construct that can reliably ...
This study examined the effect of model size on the chi-square test statistics obtained from ordinal factor analysis models. The performance of six robust ...
Rizzo, Lucas B.; Swardfager, Walter; Maurya, Pawan Kumar; Graiff, Maiara Zeni; Pedrini, Mariana; Asevedo, Elson; Cassinelli, Ana Claudia; Bauer, Moises E.; Cordeiro, Quirino; Scott, Jan; Brietzke, Elisa; Cogo-Moreira, Hugo ...
Objectives The objective of this study was to create a new measure for clinical information technology (IT) adoption as a proxy variable of clinical IT use. adoption should be used to explain technology acquisition and utilization in hospitals. is the adoption status of clinical IT (0 or 1), is the number of 71555-25-4 supplier factors, and is the vector latent common pattern or factor loading shared by a set of response variables; is the factor loading representing the correlations of each of the items with the factor, and it determines the form of the linear combinations of the common pattern. By comparing factor loadings, we can infer which common pattern is meaningful to a certain response variable, as well as which group of response variables shows the same common pattern [19]. For the analysis, this study used Stata ver. 10.1 (StataCorp., College Station, TX, USA). III. Results 1. General Characteristics of Study Subjects Table 2 shows the percentages and regular deviations of private ...
Structural equation modeling may be the appropriate method. It tends to be most useful and valid when you have multiple links that you want to identify in a causal chain; when multivariate normality is present; when any missing data are missing completely at random; when N is fairly large; and (I think) when variables are measured without much error. Absent such conditions, exploratory factor analysis scores may be quite useful as regression predictors, assuming the EFA (as well as the regression) is done in a sound, thoughtful way. A lot of people make the mistake of treating EFA as a routinized procedure, as you can read about in the wonderful article Repairing Tom Swifts Electric Factor Analysis Machine. EFA involves many decision points and few iron-clad guidelines for them. 42.2% of all EFA solutions that I run across smack of what I believe to be significant errors in choice of extraction method, number of factors to extract, inclusion/exclusion of variables, or others.. ...
The path diagram in Output 37.5.3 also represents factor variances and error variances by double-headed links. However, each of these links points to an individual variable, rather than to a pair of variables as the double-headed links for correlations do. The path diagram also displays the numerical values of factor variances or error variances next to the associated links. The directed links from factors to variables in the path diagram represent the effects of factors on the variables. The path diagram displays the numerical values of these effects, which are the loading estimates that are shown in Output 37.5.2. However, to aid the interpretation of the factors, the path diagram does not show all factor loadings or their corresponding links. By default, the path diagram displays only the links that have loadings greater than 0.3 in magnitude. For example, instead of associating ...
TY - JOUR. T1 - Underlying Dimensions of DSM-5 Posttraumatic Stress Disorder and Major Depressive Disorder Symptoms. AU - Biehn, Tracey L.. AU - Elhai, Jon D.. AU - Seligman, Laura D.. AU - Tamburrino, Marijo. AU - Armour, Cherie. AU - Forbes, David. PY - 2013/1/1. Y1 - 2013/1/1. N2 - This study examined the relationship between the underlying latent factors of major depression symptoms and DSM-5 posttraumatic stress disorder (PTSD) symptoms (American Psychiatric Association, 2013). A nonclinical sample of 266 participants with a trauma history participated in the study. Confirmatory factor analyses were conducted to evaluate the fit of the DSM-5 PTSD model and dysphoria model, as well as a depression model comprised of somatic and nonsomatic factors. The DSM-5 PTSD model demonstrated somewhat better fit over the dysphoria model. Wald tests indicated that PTSDs negative alterations in cognitions and mood factor was more strongly related to depressions nonsomatic factor than its somatic factor. ...
The issue of equality in the between-and within-level structures in Multilevel Confirmatory Factor Analysis (MCFA) models has been influential for obtaining unbiased parameter estimates and statistical inferences. A commonly seen condition is the inequality of factor loadings under equal level-varying structures. With mathematical investigation and Monte Carlo simulation, this study compared the robustness of five statistical models including two model-based (a true and a mis-specified models), one design-based, and two maximum models (two models where the full rank of variance-covariance matrix is estimated in between level and within level, respectively) in analyzing complex survey measurement data with level-varying factor loadings. The empirical data of 120 3rd graders (from 40 classrooms) perceived Harter competence scale were modeled using MCFA and the parameter estimates were used as true parameters to perform the Monte Carlo simulation study. Results showed maximum models was robust to unequal
Abstract: Expectancy-Value Questionnaire (EVQ) measures student expectancy beliefs and task values of the domain content (Eccles & Wigfield, 1995). In this study the authors examine measurement invariance of EVQ in the domain of physical education between elementary and middle-school students. Participants included 811 students (3rd-5th grades) from 13 elementary and 903 (6th-8th grades) from 13 middle schools. Students completed the EVQ in their physical education classes within the same semester. A series of hierarchical steps for testing the measurement invariance were conducted based on means and covariance structures. The results suggest that the questionnaire possesses configural and metric invariance, but noninvariant item intercepts between these two groups of students (,?CFI , > .05). EVQ can be used to measure expectancy-value constructs in physical education for both middle-school and elementary students. Yet the noninvariant item intercepts posted questions on how the measured ...
Although the benefits of mindfulness meditation practices have been widely documented, research data suggest that there are barriers to regularly engaging in meditation behavior. In order to explore research questions pertaining to meditation initiation and adherence, psychometrically valid scales to assess barriers to meditation practice are necessary. The aim of the present study was to explore the factor structure and construct validity of the Determinants of Meditation Practice Inventory (DMPI) (Williams et al., 2011), a perceived barriers to meditation scale. Exploratory and confirmatory factor analyses along with construct validity tests were performed on data obtained from two large, community samples. Results supported the DMPI as a valid scale assessing perceived barriers with four factors, Lack of Interest, Knowledge Concerns, Pragmatic Concerns and Sociocultural Beliefs. The present study offers a DMPI-revised scale that may be reliably used to assess attitudes and beliefs that might ...
TY - JOUR. T1 - Cardiometabolic risk clustering in spinal cord injury. T2 - Results of exploratory factor analysis. AU - Libin, Alexander. AU - Tinsley, Emily A.. AU - Nash, Mark S.. AU - Mendez, Armando J.. AU - Burns, Patricia. AU - Elrod, Matt. AU - Hamm, Larry F.. AU - Groah, Suzanne L.. PY - 2013/5/1. Y1 - 2013/5/1. N2 - Background: Evidence suggests an elevated prevalence of cardiometabolic risks among persons with spinal cord injury (SCI); however, the unique clustering of risk factors in this population has not been fully explored. Objective: The purpose of this study was to describe unique clustering of cardiometabolic risk factors differentiated by level of injury. Methods: One hundred twenty-one subjects (mean 37 ± 12 years; range, 18-73) with chronic C5 to T12 motor complete SCI were studied. Assessments included medical histories, anthropometrics and blood pressure, and fasting serum lipids, glucose, insulin, and hemoglobin A1c (HbA1c). Results: The most common cardiometabolic risk ...
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AIM: To evaluate the psychometric properties of the Dutch version of the 16-item Subjective Opiate Withdrawal Scale (SOWS). The SOWS measures withdrawal symptoms at the time of assessment.. METHODS: The Dutch SOWS was repeatedly administered to a sample of 272 opioid-dependent inpatients of four addiction treatment centers during rapid detoxification with or without general anesthesia. Examination of the psychometric properties of the SOWS included exploratory factor analysis, internal consistency, test-retest reliability, and criterion validity.. RESULTS: Exploratory factor analysis of the SOWS revealed a general pattern of four factors with three items not always clustered in the same factors at different points of measurement. After excluding these items from factor analysis four factors were identified during detoxification (temperature dysregulation, tractus locomotorius, tractus gastro-intestinalis and facial disinhibition). The 13-item SOWS shows high internal consistency and test-retest ...
Eleven body measurements were taken on 320 adult Muscovy duck (124 male and 196 females) within the guinea savanna zone of central Nigeria. The body measurements included Body Length (BD...
Zimbra bugs Bug 103824 {AUTH} Provide 2FA configuration capability in ZCO Bug 104144 2fa:ReferenceError: AjxDebug is not defined when zimbraFeatureTwoFactorAuthRequired in multinode rolling upgrade environment Bug 104648 allow clearing 2FA data from admin console Bug 105678 Application specific password entry should be purged when 2FA disabled from Admin Console Notes Disabling two-factor authentication using Admin console does not clear users two-factor data. Admin can disable users two-factor authentication in case user is facing issues with authentication using TOTP/scratch codes. Re-enabling users two-factor authentication using Admin console after users problem has got resolved will allow user to use two-factor authentication. In future, Bug 104648 will allow Admin to clear users two-factor data. Third party issues Issue - Mail client issues with application passcode Scenario: Users zimbra account is configured on EWS Apple Mail and Thunderbird (IMAP/POP3). User enables 2FA using Web ...
Zimbra bugs Bug 103824 {AUTH} Provide 2FA configuration capability in ZCO Bug 104144 2fa:ReferenceError: AjxDebug is not defined when zimbraFeatureTwoFactorAuthRequired in multinode rolling upgrade environment Bug 104648 allow clearing 2FA data from admin console Bug 105678 Application specific password entry should be purged when 2FA disabled from Admin Console Notes Disabling two-factor authentication using Admin console does not clear users two-factor data. Admin can disable users two-factor authentication in case user is facing issues with authentication using TOTP/scratch codes. Re-enabling users two-factor authentication using Admin console after users problem has got resolved will allow user to use two-factor authentication. In future, Bug 104648 will allow Admin to clear users two-factor data. Third party issues Issue - Mail client issues with application passcode Scenario: Users zimbra account is configured on EWS Apple Mail and Thunderbird (IMAP/POP3). User enables 2FA using Web ...
A factor analytic study of the Italian National Institute of Health Quality of Life â Core Evaluation Form (ISSQoL-CEF) M Lauriola1, R Murri3, M Massella4, M Mirra4, S Donnini4, V Fragola4, J Ivanovic5, M Pavoni6, G Mancini2, R Bucciardini4 1Department of Social and Developmental Psychology, 2Department of Infectious and Tropical Diseases, University of Rome â La Sapienzaâ , Rome, Italy; 3Catholic University of â Sacro Cuoreâ , Rome, Italy; 4Istituto Superiore di Sanità , Rome, Italy; 5National Institute for Infectious Diseases Lazzaro Spallanzani, Rome, Italy; 6Ospedale Civile Santa Maria delle Croci, Ravenna, Italy  Objectives: The Italian National Institute of Health Quality of Life â Core Evaluation Form (ISSQoL-CEF) is a specific questionnaire measuring health-related quality of life for human immunodeficiency virus-infected people in the era of highly active antiretroviral therapy. The main goal of this study was to examine the construct validity of this questionnaire
Introduction: The Psoriasis Disability Index (PDI) is a pre-validated, self-administered questionnaire assessing quality of life in adults suffering from psoriasis. The English version contains 15 items measuring five components - activities, work/school performance, personal, leisure, and treatment. Purpose: We aimed to translate the PDI into Bengali and examine its psychometric properties. Methods: The PDI-Bengali version (PDI-B) was produced by standardized forward-backward translations. A cross-sectional study was conducted to gather responses by consecutive sampling. Reliability was tested using internal consistency and test-retest reliability analyses, concurrent validity by comparing with Psoriasis Area and Severity Index (PASI) and Dermatological Life Quality Index scores, while construct validity by exploratory factor analysis (n= 83) using principal component analysis (varimax rotation). Subsequently, confirmatory factor analysis (CFA; n = 85) was performed to verify the a priori ...
Abrams, M.D., Omarsdottir, A.O., Bjornsdottir, M.D. (2013).Measurement Invariance of the Career Indecision Profile. Journal of Career Assessment.. Aitken Schermer, J. (2012). The Jackson Career Explorer. Journal of Career Assessment.. Armstrong, P.I., Fouad, N.A., Rounds, J. (2010). Quantifying and Interpreting Group Differences in Interest Profiles. Journal of Career Assessment.. Baker, B. (2013). Wheel of Life - A Self-Assessment Tool. Start of Happiness.. Barclay, W.B., Chapman, J.R., Brown, B.L. (2013). Underlying Factor Structure of Scheins Career Anchor Model. Journal of Career Assessment.. Bellon, B., and Rowe, J. (2011). Linking Expatriate Assessment and Selection with Talent Management Strategies. Mobility Magazine.. Betz, N.E., Borgen, F.H. (2010). Relationships of the Big Five Personality Domains and Facets to Dimensions of the Healthy Personality. Journal of Career Assessment.. Brown, S.D., Hacker, J., Abrams, M. (2011). Validation of a Four-Factor Model of Career Indecision. ...
A global optimization approach for the factor analysis of wireline logging data sets is presented. Oilfield well logs are processed together to give an estimate to factor logs by using an adaptive genetic algorithm. Nonlinear relations between the first factor and essential petrophysical parameters of shaly-sand reservoirs are revealed, which are used to predict the values of shale volume and permeability directly from the factor scores. Independent values of the relevant petrophysical properties are given by inverse modeling and well-known deterministic methods. Case studies including the evaluation of hydrocarbon formations demonstrate the feasibility of the improved algorithm of factor analysis. Comparative numerical analysis made between the genetic algorithm-based factor analysis procedure and the independent well log analsis methods shows consistent results. By factor analysis, an independent in-situ estimate to shale content and permeability is given, which may improve the reservoir model and
In a sample of 106 emerging and existing AHP leaders from 7 professions, the factorial structure of the AHEAD instrument was generally supported. AHEAD showed convergent validity with the LPI. It also showed better validity for discriminating AHP grades than did the LPI. To our knowledge, AHEAD is the first validated specific instrument to measure leadership competency in existing and emerging AHP leaders.. Consistent with our expectations, EFA of the AHEAD items identified a 2-factor solution where skills and values formed separate factors. Internal consistency of AHEAD (overall and its 2 factors) was excellent and all items loaded significantly (factor loadings exceeded 0.40). Nevertheless, 4 items loaded differently from their designated factors (Table 2). Specifically, values items courage, inspiration, and perseverance loaded highly and specifically on the skills factor whilst skills item interpersonal skills loaded moderately on values factor.. How do we explain these ...
OBJECTIVES: To investigate the psychometric properties of the developed 21 item questionnaire to measure definitions, attitudes and management practices in relation to diarrhea during enteral nutrition (DAPonDEN).. METHODS: Data were analyzed using exploratory factor analysis from a cross sectional study of 102 nurses aged 18 and over, conducted from December 2011 to February 2012 in Malaysia. Face and content validity of DAPonDEN were first evaluated by few expert panels and patients. For this study, adult nurses were recruited from the adult wards.. RESULTS: In the final model, three items in DAPonDEN were dropped. In the exploratory factor analysis, five factors were extracted that explained a total of 55% of the variation in the remaining 18 items. The Kaiser-Meyer-Olkin (KMO) value was 0.723. For definition, there were two underlying factors: Key items in defining diarrhea and non-key items in defining diarrhea. For attitude there was a single factor. For practice, there were two ...
This study aims to examine the availability of subscales in the Tinnitus Handicap Inventory (THI) originally proposed by Newman and the possibility of other useful subscales. We also examine whether each item of the THI could be used to better understand the status of patients with tinnitus. This study included 1332 patients who answered the THI on their first visit. Confirmatory factor analysis was conducted to the 25 items of the THI to confirm the usefulness of the emotional, functional, and catastrophic subscales. Exploratory factor analysis was performed to discover the availability of other suitable subscales in addition to the proposed subscales. The proportion of patients who chose
This study was carried out with 1,857 poor children from 17 schools, living in low-income areas of Dar Es Salaam, Tanzania. All children took the Student Multiple Intelligences Profile (SMIP) questionnaire as part of a bigger project that gathered data around concepts and beliefs of talent. This paper sets out two aims, first to investigate the structural representation of the self perceived multiple intelligences for this set of children and second to discuss how the best fit model might reflect childrens culture and their school experiences. After carrying out exploratory factor analysis, a four factor first order model was shown to have a good fit. A higher order factor solution was investigated owing to the correlation of two latent constructs. In order to provide some insight into the multiple intelligences construct the relationship between the SMIP items, student test outcomes and attitudes to learning were examined. The item groupings were explored through African cultural beliefs ...
Purpose: The purpose of this study is to investigate the structure and measurement properties of the Aphasia Communication Outcome Measure (ACOM), a patient-reported outcome measure of communicative functioning for persons with aphasia. Method: Three hundred twenty-nine participants with aphasia responded to 177 items asking about communicative functioning. The data were analyzed using a categorical item factor analysis approach. Validity of ACOM scores on the basis of their convergence with performance-based, clinician-reported, and surrogate-reported assessments of communication was also assessed. Results: Fifty-nine items that obtained adequate fit to a modified bifactor measurement model and functioned similarly across several demographic and clinical subgroupings were identified. The factor model estimates were transformed to item response theory graded response model parameters, and the resulting score estimates showed good precision and moderately strong convergence with other
Fingerprint Dive into the research topics of Confirmatory factor analysis of the Physical Self-Efficacy Scale with a college-aged sample of men and women. Together they form a unique fingerprint. ...
Nutrition Information. Just over 64% of the total sample claimed they paid attention to nutrient-label information. This group was subsequently asked to rate the information about 38 specific nutrients as being either very useful, of some use, or of little or no use. A rating scale for each nutrient was derived by weighting these responses by 100, 50, and 0. In addition, the usefulness raw scores were subjected to principal components factor analysis in an effort to reveal underlying dimensions along which respondents may have perceived the nutrients. The average rating scores of the nutrients clustering in each relevant factor were then compared to personal characteristics of chief food buyers and their preferences for other aspects of the food label.. Learning Interests. Just under 63% of the total sample returned the nail questionnaire dropped off after the completion of the personal interview. One of the major sections of the questionnaire concerned a list of 17 food-related issues to ...
We have previously reported focal abnormalities of regional cerebral blood flow (rCBF) in a group of 33 patients with major depression. This report, on an extended sample of 40 patients who demonstrated identical regional deficits to those previously described, examines the relationships between depressive symptoms and patterns of rCBF. Patients symptom ratings were subjected to factor analysis, producing a three-factor solution. The scores for these three factors, which corresponded to recognizable dimensions of depressive illness, were then correlated with rCBF. The first factor had high loadings for anxiety and correlated positively with rCBF in the posterior cingulate cortex and inferior parietal lobule bilaterally. The second factor had high loadings for psychomotor retardation and depressed mood and correlated negatively with rCBF in the left dorsolateral prefrontal cortex and left angular gyrus. The third factor had a high loading for cognitive performance and correlated positi
Background The Clinical Outcomes in Routine Evaluation - Outcome Measure (CORE-OM) is a 34-item instrument developed to monitor clinically significant change in out-patients. The CORE-OM covers four domains: well-being, problems/symptoms, functioning and risk, and sums up in two total scores: the mean of All items, and the mean of All non-risk items. The aim of this study was to examine the psychometric properties of the Norwegian translation of the CORE-OM. Methods A clinical sample of 527 out-patients from North Norwegian specialist psychiatric services, and a non-clinical sample of 464 persons were obtained. The non-clinical sample was a convenience sample consisting of friends and family of health personnel, and of students of medicine and clinical psychology. Students also reported psychological stress. Exploratory factor analysis (EFA) was employed in half the clinical sample. Confirmatory (CFA) factor analyses modelling the theoretical sub-domains were performed in the remaining half of ...
BACKGROUND: In the field of nutritional epidemiology, principal component analysis (PCA) has been used to derive patterns, but the robustness of interpretation might be an issue when the sample size is small. The authors proposed the alternative use of confirmatory factor analysis (CFA) to define such patterns. OBJECTIVE: The aim was to compare dietary patterns derived through PCA and CFA used as equivalent approaches in terms of stability and relevance. DESIGN: PCA and CFA were performed in 2 different studies: the Epidemiological Study on the Genetics and Environment of Asthma 2-France (EGEA2-France; n = 1236) and the Phenotype and Course of Chronic Obstructive Pulmonary Disease study-Spain (n = 274). To check for stability, PCA and CFA were also performed in 2 subsamples from the EGEA2 study (n = 618 and 309). Statistical proprieties were evaluated by 1000 bootstrapped random sets of observations for each of the 4 subsamples. For each random set of observations, the distribution of the factor loading
Comparisons of competing models using confirmatory factor analyses indicated that the four-factor model (somatic symptoms, depressed affect, positive affect, and interpersonal difficulties) possessed the best model fit (CFI=0.98; TLI= 0.98; RMSEA=0.05). CTT analyses showed that the CES-D had satisfactory internal consistency (α=0.74-0.87). Rasch analyses supported the unidimensionality of each CES-D subscale with no misfit item. Rating scale analyses indicated the need to collapse response categories 2 and 3 of the somatic symptoms subscale. Reliability analyses indicated satisfactory item reliability but poor person separation of all subscales. A floor effect for persons and an uneven spread of items across the spectrum were observed. A total of 3 differential item functioning (DIF) items (depressed affect: 1; somatic symptoms: 2) across gender, and 1 DIF item (depressed affect: 1) across the time course of recovery were found but none of them reached practical relevance. All items of the ...
The internal consistencies in initial psychometric testing for the English MAIA ranged from 0.66-0.82 with 5 of the 8 subscales showing unstandardized alphas >0.70. In addition, confirmatory factor analyses resulted in good model fit for the 8 factor model of the scale (CFI=.886) (Mehling et al. PLoS ONE, 2012). The final survey was comprised of the 8 subscales described as follows, including 32 items. The first subscale, Noticing is defined as awareness of uncomfortable, comfortable and neutral body sensations. It is comprised of 4 items; the scale demonstrates moderate reliability (α = 0.69). Two further subscales Not-Distracting (the tendency to ignore or distract oneself from sensations of pain or discomfort) and Not Worrying (emotional distress or worry with sensations of pain or discomfort), are both reverse coded measures with 3 items. They demonstrated sub-optimal internal consistency (Not Distracting: Cronbachs α =0.66; Not Worrying: Cronbachs α = 0.67) (Mehling et al PLoS ...
OBJECTIVE: To examine the cross-cultural validity of the Problem Areas in Diabetes Scale (PAID) in Dutch and U.S. diabetic patients. RESEARCH DESIGN AND METHODS: A total of 1,472 Dutch people with diabetes completed the PAID along with other self-report measures of affect. Statistics covered Cronbachs alpha, exploratory factor analysis (EFA), and confirmatory factor analysis (CFA), Pearsons product-moment correlation, and t tests. Psychometric properties of PAID were compared for Dutch and U.S. diabetic patients. RESULTS: Internal consistency of the Dutch PAID was high and stable across sex and type of diabetes. Test-retest reliability was high. Principal component analyses confirmed 1 general 20-item factor, whereas EFA identified 4 new subdimensions: negative emotions, treatment problems, food-related problems, and lack of social support. These dimensions were confirmed with CFA and were replicated in the U.S. sample. The PAID and its subscales demonstrated moderate to high associations in ...
<I>Objective.</I> This paper examines the factor structure of the Yoruba translation of the Children's Behaviour Questionnaire for Completion by Parents (CBQ) administered in a Nigerian paediatric primary care population. <br><I>Design.</I> A cross-sectional questionnaire survey. <br><I>Subjects.</I> Four hundred and seventy-eight children aged 7 - 14 years who attended a primary care clinic in Ibadan, Nigeria, over a 3-month period. <br><I>Methods.</I> Parents' ratings of the children were obtained using the Yoruba translation of the CBQ. The factor structure of this instrument was examined using principal component analysis with varimax rotation. Only factors with eigenvalues of greater than 1 were examined further. <br><I>Results.</I> The first seven dimensions were readily conceptualised. These
A family of parsimonious Gaussian mixture models for the biclustering of gene expression data is introduced. Biclustering is accommodated by adopting a mixture of factor analyzers model with a binary, row-stochastic factor loadings matrix. This particular form of factor loadings matrix results in a block-diagonal covariance matrix, which is a useful property in gene expression analyses, specifically in biomarker discovery scenarios where blood can potentially act as a surrogate tissue for other less accessible tissues. Prior knowledge of the factor loadings matrix is useful in this application and is reflected in the one-way supervised nature of the algorithm. Additionally, the factor loadings matrix can be assumed to be constant across all components because of the relationship desired between the various types of tissue samples. Parameter estimates are obtained through a variant of the expectation-maximization algorithm and the best-fitting model is selected using the Bayesian information criterion.
Our purpose was to perform a psychometric evaluation of a new 33-item questionnaire developed in Norway. To evaluate it we assessed its internal consistency, performed an exploratory factor analysis, and investigated aspects of construct validity. We also examined test-retest reliability. A second purpose was to investigate whether or not individual level variables such as age, gender, or service were related to different military identities. In Study 1 we collected cross-sectional data from military personnel in the Norwegian Armed Forces (N = 317). In Study 2 we collected longitudinal data from students undertaking junior officer education (N = 238). We identified a 3-factor structure, comprising professionalism, individualism, and idealism. Internal consistency for the 3 subscales was acceptable (α = .60-.83). Test-retest reliability and construct validity were supported. We found professionalism to be significantly higher in the Army as compared to in the Navy and Air Force. We did not ...
Preface vii. Acknowledgments ix. About the Author xi. PART I Scales, Reliability, and Validity. Chapter 1 Variables and Measurement Scales 3. 1.1 Variables in Social and Behavioral Research 3. 1.2 What Is Measurement? 4. 1.3 Levels of Measurement 5. 1.4 Typical Scales for Assessment in Counseling 7. 1.5 Scaling 13. Summary 20. Chapter 2 Reliability 23. 2.1 What Is Reliability? 23. 2.2 Classical Concept of Reliability 24. 2.3 Types of Reliability 28. 2.4 Stratifi ed Alpha 35. 2.5 Maximal Reliability of Congeneric Measures 38. Summary 39. Chapter 3 Validity 41. 3.1 What Is Validity? 41. 3.2 Unifi ed Construct-Based Model of Validity 42. Summary 50. Chapter 4 Steps in Instrument Development 53. 4.1 Definition of Purpose 53. 4.2 Instrument Specifi cations 54. 4.3 Item Development 59. Summary 64. PART II Factor Analysis in Construct Validation. Chapter 5 Exploratory Factor Analysis 69. 5.1 Correlated Variables and Underlying Factors 69. 5.2 Basic EFA Models 70. 5.3 The Principal Factor Method of ...
Results: Findings from the exploratory factor analysis of the MLHFQ revealed three factors (physical, emotional and social) that explained 72 % of the total variance. Mokken analysis confirmed the MLHFQ total scale, and the three subscales, as valid ordinal scales: the total MLHFQ scale [overall Loevinger coefficient (H) = 0.61], physical scale (H = 0.75), emotional scale (H = 0.79) and social scale (H = 0.552). Rasch analysis confirmed the physical scale as a unidimensional scale, but this was not consistent for the total MLHFQ scale which showed poor fit to the Rasch model (χ 2 = 162), df = 42, p , 0.0001). Six items of the total scale were misfitting (7, 8, 10, 14-16) and removing them improved the fit of the total scale. The physical subscale showed fit to the Rasch model (χ 2 = 20.24, df = 16, p = 0.21), and there was evidence of unidimensionality (t tests = 0.09, lower bound 95 % CI 0.04). There was evidence of disordered thresholds for the MLHFQ total and physical scale, and targeting ...
The Four-Dimensional Symptom Questionnaire (4DSQ) is a self-report questionnaire that has been developed in primary care to distinguish non-specific general distress from depression, anxiety and somatization. The purpose of this paper is to evaluate its criterion and construct validity. Data from 10 different primary care studies have been used. Criterion validity was assessed by comparing the 4DSQ scores with clinical diagnoses, the GPs diagnosis of any psychosocial problem for Distress, standardised psychiatric diagnoses for Depression and Anxiety, and GPs suspicion of somatization for Somatization. ROC analyses and logistic regression analyses were used to examine the associations. Construct validity was evaluated by investigating the inter-correlations between the scales, the factorial structure, the associations with other symptom questionnaires, and the associations with stress, personality and social functioning. The factorial structure of the 4DSQ was assessed through confirmatory factor
Abstract: In this study, we examined the hypothesis that preschoolers performance on emotion and cognitive tasks is organized into discrete processes of control and understanding within the domains of emotion and cognition. Additionally, we examined the relations among component processes using mother report, behavioral observation, and physiological measures of emotion control. Participants were 263 children (42 percent non-White) and their mothers. Results indicated that the three approaches of measuring emotion control were unrelated. Regardless of the measurement method, a four-factor solution differentiating emotion control and understanding and cognitive control and understanding fits the data better than did either of two two-factor models, one based on domains of emotion and cognition across processes, and one based on processes of control and understanding across domains. Results of this research replicate those of Leerkes et al. in describing a differentiated underlying structure of ...
For the class of (partially specified) internal risk factor models we establish strongly simplified supermodular ordering results in comparison to the case of general risk factor models. This allows us to derive meaningful and improved risk bounds for the joint portfolio in risk factor models with dependence information given by constrained specification sets for the copulas of the risk components and the systemic risk factor. The proof of our main comparison result is not standard. It is based on grid copula approximation of upper products of copulas and on the theory of mass transfers. An application to real market data shows considerable improvement over the standard method.
For the class of (partially specified) internal risk factor models we establish strongly simplified supermodular ordering results in comparison to the case of general risk factor models. This allows us to derive meaningful and improved risk bounds for the joint portfolio in risk factor models with dependence information given by constrained specification sets for the copulas of the risk components and the systemic risk factor. The proof of our main comparison result is not standard. It is based on grid copula approximation of upper products of copulas and on the theory of mass transfers. An application to real market data shows considerable improvement over the standard method.
This dissertation consists of three essays on estimating and testing structural changes in high dimensional econometrics models. These essays are based on three working papers joint with Prof. Badi Baltagi and Prof. Chihwa Kao. The first essay considers estimating the date of a single common change in the regression coefficients of a heterogeneous large N and large T panel data model with or without strong cross- sectional dependence. The second essay considers estimating a high dimensional factor model with an unknown number of latent factors and a single common change in the number of factors and/or factor loadings. The third essay considers estimating a high dimensional factor model with an unknown number of latent factors and multiple common changes in the number of factors and/or factor loadings, and also testing procedures to detect the presence and number of structural changes. The first essay studies the asymptotic properties of the least squares estimator of the common change point in ...
ARAUJO, Ludgleydson Fernandes de and LOBO FILHO, Jorgeano Gregório. Psychosocial analysis of violence against elders. Psicol. Reflex. Crit. [online]. 2009, vol.22, n.1, pp.153-160. ISSN 0102-7972. http://dx.doi.org/10.1590/S0102-79722009000100020.. The purpose of this study was to understand social representations of the elders from Fernando de Noronha-PE-Brazil about violence in old age. The sample was non-probabilistic, intentional and accidental, composed by 50 elderly subjects from both genders (60% female and 40% male), mean age about 64 years old, who answered the Semi-Structured Interview and the Free Word Association Test. Data obtained by TFAW were analyzed by the software Tri-Deux-Mots through factor analysis of correspondence, and the interview was analyzed by the Analysis of the Content of Bardin (2002). It was observed that violence against elderly people has been recorded in terms of abandonment, neglect, physical aggression and disrespect. Preventive measures against violence in ...
Keywords: pam-radius At WiKID, we have done a lot of testing over the years. We document these tests for your benefit. Often we find technical documentation to be obtuse and hard to follow and creating simple, easy to follow documentation for other companies is good for our business. That being said, we cant possibly document all the versions of all the systems that need two-factor authentication! If you have questions about integrating two-factor authentication, please ask us! But note that you may very well be better off asking the primary vendor.. Note that almost all of these tutorials use RADIUS to add two-factor authentication, so you will want to know how to add a RADIUS network client to the WiKID server. The network client will be your radius server (NPS/ASA/Freeradius) or your VPN/remote access service. ...
Version 1 Mplus Diagrammer Documentation Mplus User s Guide Chapters with Examples. Following are excerpts from the Version 8 Mplus Users Guide. Chapters 3 - 13 include over 250 examples. These examples are also included on the Mplus DVD along with the corresponding Monte Carlo simulation setups that generated the data. Chapter 1: Introduction Chapter 2: Getting started with Mplus Chapter 3: Regression and path analysis view examples Chapter 4: Exploratory factor analysis view examples Chapter 5: Confirmatory factor analysis and structural equation modeling view examples Chapter 6: Growth modeling, survival analysis, and N=1 time series analysis view examples Chapter 7: Mixture modeling with cross-sectional data view examples Chapter 8: Mixture modeling with longitudinal data view examples Chapter 9: Multilevel modeling with complex survey data view examples Chapter 10: Multilevel mixture modeling view examples Chapter 11: Missing data modeling and Bayesian estimation view examples Chapter 12: ...
The following professors offer specialized statistical consultations services for the students in psychology and the members of the School of Psychology:. Veronika Huta. Analysis of variance, analysis of covariance, MANOVA; regression, logistic regression; exploratory factor analysis; hierarchical linear modeling; structural equation modeling, confirmatory factor analysis.. Dwayne Schindler. Multivariate and univariate analyses.. ...
Background: In recent years, there has been an increasing interest in psychosocial workplace risk assessments in Germany. One of the questionnaires commonly employed for this purpose is the Short Questionnaire for Workplace Analysis (KFZA). Originally, the KFZA was developed and validated for office workers. The aim of the present study was to examine the factorial validity of the KFZA when applied to hospital settings. Therefore, we examined the factorial structure of a questionnaire that contained all the original items plus an extension adding 11 questions specific to hospital workplaces and analyzed both, the original version and the extended version. Methods: We analyzed questionnaire data of a total of 1731 physicians and nurses obtained over a 10-year period. Listwise exclusion of data sets was applied to account for variations in questionnaire versions and yielded 1163 questionnaires (1095 for the extended version) remaining for factor analysis. To examine the factor structure, we ...
This study involved the translation, cultural adaptation and validation of the Athletic Coping Skills Inventory (ACSI-28) for a Spanish-speaking sport environment. The sample was made up of 1,253 Spanish athletes, 967 males and 286 females. Confirmatory factor analysis (CFA) showed that the 7-factor structure found in the English version was replicated in the Spanish translation in both males and females. Likewise, the reliability coefficients were similar to those of the English version, with values exceeding .80 for the total score. Several of the subscales correlated positively with sports experience and performance level. The Spanish version of the ACSI-28 thus maintains the factor structure of the original and exhibits similar psychometric properties. Consequently, it can reliably be applied to Spanish-speaking athletes for research and evaluation purposes.. Desarrollo y validación de la versión española del Inventario de Habilidades Deportivas de Afrontamiento, ACSI-28. Se ha realizado ...
Research has found that working within a prison environment can induce both stress and exposure to trauma, furthermore research has also highlighted the need for context specific trauma exposure measures in specified populations, the overall aim of the current thesis was to address such findings through the creation of a brief self-report measure that could be used to measure exposure to traumatic incidents and would also demonstrate predictive validity for a number of psychological conditions that have been shown to be an inherent part of prison associated work. The first empirical chapter sought to validate the Prison Personnel Trauma Measure (PPTM) designed specifically to measure trauma exposure in prison personnel. Utilising a sample of prison personnel based in England and Wales (N = 1995) dimensionality and construct validity of the PPTM were investigated using confirmatory factor analysis, which revealed that a three-factor model of the PPTM (self-harm/death, violent, and environmental ...
British Journal of Mathematical and Statistical Psychology. (1950) Tests of significance in factor analysis. British Journal of ... He is also known for his work in the theory of statistical inference and in multivariate analysis. Born in London, Bartlett was ... 1948) Internal and external factor analysis. British Journal of Psychiatry. (1949) Fitting a straight line when both variables ... ISBN 0-412-14150-7 The Statistical Analysis of Spatial Pattern, (1976) ISBN 0-412-14290-2 Selected Papers of M. S. Bartlett 3 ...
Kaiser provided fundamental contributions to psychometrics and statistical psychology. His contributions to factor analysis ... He developed the Varimax rotation method for factor analysis in the late 1950s. He was born in Morristown, New Jersey. Kaiser ... Henry Kaiser: The varimax criterion for analytic rotation in factor analysis, Psychometrika, Springer, New York, Vol. 23(3), ... was an American psychologist and educator who worked in the fields of psychometrics and statistical psychology. ...
... (September 1966). "Some mathematical notes on three-mode factor analysis". Psychometrika. 31 (3): 279-311. doi: ... In 1957 he was elected as a Fellow of the American Statistical Association. He died at his home in Savoy, Illinois, on August ...
... statistical computing, and factor-analysis in geology. In 1974 he was elected as a Fellow of the American Statistical ... Causality Confirmatory factor analysis Computational statistics Exploratory factor analysis Factor analysis Latent variable ... JSTOR 2285946.CS1 maint: multiple names: authors list (link) Jöreskog, K. G., & Sörbom, D. (1979). Advances in factor analysis ... Jöreskog's Fortran codes helped to popularize factor analysis around the world. While working at the Educational Testing ...
Burt, C.L. (1961). "Factor Analysis and its Neurological Basis". British Journal of Statistical Psychology. 14: 53-71. doi: ... Blinkhorn, S.F. (1995). "Burt and the Early History of Factor Analysis", in N.J. Mackintosh, Cyril Burt: Fraud or Framed?, ... Gould, S.J. (1996). "The Real Error of Cyril Burt Factor Analysis and the Reification of Intelligence," in The Mismeasure of ... doi:10.1111/j.2044-8341.1923.tb00446.x. Burt, C.L. (1949). "Alternative Methods of Factor Analysis and their Relations to ...
Statistical analysis of brain endocasts gives information on the increases in overall brain volume ("endocranial volume"). ... Experience is often an important factor in endocast analysis. Therefore, a large portion of the field of paleoneurobiology ... Paleoneurobiology revolves around the analysis of endocasts. Much of this analysis is focused on interpreting sulcal patterns, ... Morphometric analysis relies on chord and arc measurements of the endocast surface. Length, width, bregma-basion, and height ...
Rouder, J.; Morey, R. (2011). "A Bayes factor meta-analysis of Bem's ESP claim". Psychonomic Bulletin & Review. 18 (4): 682-689 ... criticized Bem's statistical methodology, saying that he incorrectly provides one-sided p-value when he should have used a two- ... A meta-analysis of 48 studies showed childhood gender nonconformity to be the strongest predictor of a homosexual orientation ... Bem theorized that the influence of biological factors on sexual orientation may be mediated by experiences in childhood, that ...
... creation of an approach and software for structural equation modeling and confirmatory factor analysis (LISREL), used ... Lord, F.M. (1952). "A Theory of Test Scores". Psychometric Monographs, 7. Lord, F.M.; Novick, M.R. (1968). "Statistical ... structural equation modeling and confirmatory factor analysis); Paul Holland (differential item functioning, test equating, ... A lack of comprehensive planning and testing by ETS of its systems and processes was a key factor in the delivery failure; In ...
Neal, Radford M.; Dayan, Peter (1996-11-24). "Factor Analysis Using Delta Rules Wake-Sleep Learning" (PDF). University of ... "Convergence of The Wake-Sleep Algorithm" (PDF). The Institute of Statistical Mathematics. Retrieved 2015-11-01. Dalzell, R.W.H ...
Jöreskog, K. G. (1963). Statistical estimation in factor analysis: A new technique and its foundation. Almqvist & Wiksell. p. 5 ... Whittle, P. (1953). "The analysis of multiple stationary time series". Journal of the Royal Statistical Society, Series B. 15 ( ... a Cambridge Statistical Laboratory. "The History of the Statistical Laboratory, section 6". Archived from the original on 19 ... Cambridge Statistical Laboratory. "The History of the Statistical Laboratory, section 4". Archived from the original on 19 ...
Factor analysis is applied to tooth size to achieve tooth shape. Results have shown that the dental morphology of Andaman ... To measure the size and shape, Penrose's size and shape statistic is used. To calculate tooth size, the sum of the tooth area ... Analysis of mtDNA, which is inherited exclusively by maternal descent, confirms the above results. All Onge belong to M32 mtDNA ... The analysis of 20 coding regions in 20 samples of ancient Andamanese people and 12 samples of modern Indian populations ...
Clinical and statistical analyses of related prognostic factors". Circulation. 90 (4): 1855-60. doi:10.1161/01.cir.90.4.1855. ... Takayasu arteritis is not associated with ANCA, rheumatoid factor, ANA, and anticardiolipin antibodies. Most people with ...
Item analysis (Statistical Procedure) (7) Factor analysis (Statistical Procedure) (8) After the second cull, make final version ... Principal axis factoring, ML factor analysis, alpha factor analysis and image factor analysis is most useful ways of EFA. It ... It has two schools: (1) Exploratory Factor analysis (2) Confirmatory Factor analysis. The exploratory factor analysis begins ... resulting correlated factors). The 'psych' package in R is useful for EFA. Confirmatory Factor Analysis (CFA) is factor ...
Factor analysis, discriminant analysis, cluster analysis and logit analysis can also be used. Some techniques are constructed ... An assortment of statistical procedures can be used to convert the raw data collected in a survey into a perceptual map. ... Furthermore, they can be used in non-commercial applications, such as identifying factors involved in dangerous driving. ... Diffusion of innovations Discriminant analysis Marketing research Multidimensional scaling Product life-cycle management ( ...
Factor analysis uses statistical methods to organize groups of related items into subscales. Criterion-keyed inventories ... There are three major approaches to developing self-report inventories: theory-guided, factor analysis, and criterion-keyed. ... If the inventory includes items from different factors or constructs, the items can be mixed together or kept in groups. ...
One can also use confirmatory factor analysis due to the complexities in considering all of the data in the matrix. The ... The test statistic is found by counting the number of inversions (I). The critical value for alpha = 0.05 is 10, and for alpha ... The method factors are assumed to be uncorrelated with one another and with the trait factors: cov(F, M) = E(F M) = 0 Typically ... The Role of Confirmatory Factor Analysis. Nursing & Health, 14, 387-391 Sawilowsky, S. (2002). A quick distribution-free test ...
Cai, Li (2010). "High-dimensional Exploratory Item Factor Analysis by a Metropolis-Hastings Robbins-Monro Algorithm" (PDF). ... Cai develops flexMIRT, a statistical program for multilevel modeling and multidimensional item response theory. In addition, he ... "Metropolis-Hastings Robbins-Monro Algorithm for Confirmatory Item Factor Analysis". Journal of Educational and Behavioral ... Cai publishes methodology in statistics (including statistical computing) and psychometrics, and conducts applied research in ...
Tucker, L.R. (1958) Determination of parameters of a functional relation by factor analysis. Psychometrika 23, 19-23. Rao, C.R ... Latent growth modeling is a statistical technique used in the structural equation modeling (SEM) framework to estimate growth ... Scher, A.M., Young, A.C. & Meredith, W.M. (1960) Factor analysis of the electrocardiogram. Circulation Research 8, 519-526. ... It is a longitudinal analysis technique to estimate growth over a period of time. It is widely used in the field of psychology ...
A Meta-Analysis". Human Factors: The Journal of the Human Factors and Ergonomics Society. 55 (1): 231-245. doi:10.1177/ ... Meta-analysis are statistical researching technique that include data from findings of all prior studies and are considered to ... A Meta-Analysis". Human Factors. 55 (1): 231-245. doi:10.1177/0018720812448394. ISSN 0018-7208. PMID 23516804. S2CID 22260709. ... A meta-analysis". Human Factors. 55 (1): 231-245. doi:10.1177/0018720812448394. ISSN 0018-7208. PMID 23516804. S2CID 22260709. ...
Confirmatory factor analysis Multivariate analysis Path analysis (statistics) Structural equation modeling "LISREL". University ... It requires a "fairly high level of statistical sophistication". LISREL was developed in the 1970s by Karl Jöreskog, then a ... ISBN 0-387-96972-1. Kelderman, Henk (1987). "LISREL models for inequality constraints in factor and regression analysis". In ... Byrne, Barbara M. (1989). A Primer of LISREL: Basic Applications and Programming for Confirmatory Factor Analytic Models. New ...
1987: Latent Variable Models and Factor Analysis, London: Griffin. 15. 1991: & A. F. Forbes and S.I. McClean, Statistical ... 2011: & M Knott, I Moustaki, Latent Variable Models and factor Analysis: A unified approach. Chichester: John Wiley and Sons ... 1999: & M. Knott, Latent Variable Models and Factor Analysis, London Arnold, 2nd edition: 20. 2002: & F. Steele, I Moustaki & J ... 6. 1972: & R.E. Barlow, H.D. Brunk and J.M. Bremner, Statistical Inference under Order Restrictions, Chichester: John Wiley and ...
Statistical significance of these factors is established with analysis of variance (ANOVA). Graphical tools help identify the ... The software determines the main effects of each factor as well as the interactions between factors by varying the values of ... RSM provides an estimate for the value of responses for every possible combination of the factors by varying the values of all ... Design-Expert offers test matrices for screening up to 50 factors. A power calculator helps establish the number of test runs ...
All those factors contribute to decision making and deeper analysis. Data required can be collect through survey or through ... Thus managers and decision makers should consider more than just statistic. Study suggests that there are dramatic differences ... There are various of ratios can be used for analysis depending on the objective of the analysis and nature relationship between ... Generally, there are two type of ratios comparisons, trend analysis & industry comparisons. It is a technical analysis based on ...
Holzinger is known for his research on the use of factor analysis to study human intelligence. He developed the theory that ... He was elected vice president of the American Statistical Association in 1933 and president of the Psychometric Society in 1940 ... Bellhouse, David R. (April 2009). "Karl Pearson's Influence in the United States". International Statistical Review. 77 (1): 51 ... A Survey of Factor-Analytic Studies. Cambridge University Press. p. 41. ISBN 9780521387125. Sternberg, Robert J. (1982). ...
Responses were subjected to the statistical process of factor analysis and two primary factors were derived. These orthogonal ( ... A parallel model of assessing how people view themselves, also based on independent factor analysis, was created. Called ... and Humanality were developed independently from original research and the rigid statistical process of factor analysis. ... opposite) factors were presented in a quadrant configuration labeled LBI, LBE, RBI, and RBE. There are many variants and ...
Factor analysis is a statistical procedure for reducing the redundancy in a set of intercorrelated scores. One major technique ... As the five factor theory gained traction and research on the 16 factors continued, subsequent analysis identified five factors ... Beginning in the 1940s, Cattell used several techniques including the new statistical technique of common factor analysis ... Although personality traits are thought to be correlated, using orthogonal factor analysis makes the factors easier to ...
It included ANOVA with one repeated-measure and, remarkably, a factor analysis. In StatView 4, the user approach changed from ... This lack of immediacy was compensated for by an increase in the number of statistical tests that could be performed and in the ... Contents of the analysis window could be copied either as text or as a PICT. StatView was initially distributed by BrainPower ... For example, multiway repeated-measures factors could be included in ANOVAs, with the only limit being the memory allocated to ...
The odds are derived from a variety of factors through analysis of information. Certain markets are highly statistical, whereas ...
A factor analysis of the SIS/SES questionnaire, revealed a single excitation factor and two inhibition factors. These ... The SIS/SES questionnaire was originally developed for men though it has since proven its statistical validity among women. ... A factor analysis of this questionnaire revealed only two factors: sexual excitation (SE) and sexual inhibition (SI). This may ... One lower order factor in the SESII-W labeled Arousal Contingency was particularly relevant; this factor explains the easy ...
The statistical mechanics of such simple systems are well-characterized theoretically. There has been some recent evidence that ... from growth factors to hormones that modulate and influence the growth and development of functional connections between ... theoretical analysis and abstractions of the brain to understand the principles that govern the development, structure, ...
Before its peak in 1618, trade increased by a factor of 20 from 1491. This factor is evident when looking at the tonnage of ... Genetic analysis indicates that there has been an unbroken genetic continuity[clarification needed] of the inhabitants over the ... Statistical Yearbook of the Republic of Poland 2017, Statistics Poland, p. 85-86 ...
Carbon offset emission factors handbook: Specified Gas Emitters Regulation (PDF), 2015, retrieved 2018-03-15. ... A safety analysis was not required at the time, and none was performed during the planning, design or construction of the ... "Statistical Review infographic". Archived from the original on 23 April 2015. Retrieved 17 April 2015.. ... "LNG Tank System Analysis". Archived from the original on 22 May 2015. Retrieved 17 April 2015.. ...
Ernst, E. (2008). "Placebo and other Non-specific Effects". In Ernst, E. (ed.). Healing, Hype, or Harm? A Critical Analysis of ... Other factors. There are also reasons why a placebo treatment group may outperform a "no-treatment" group in a test which are ... Science-based medicine, with its emphasis on controlled study, proof, evidence, statistical significance and safety is being ... An analysis of the conclusions of only the 145 Cochrane reviews was done by two readers. In 83% of the cases, the readers ...
Analysis of variance[edit]. The simplest method for QTL mapping is analysis of variance (ANOVA, sometimes called "marker ... Several genes factor into determining a person's natural skin color, so modifying only one of those genes can change skin color ... In this method, in a backcross, one may calculate a t-statistic to compare the averages of the two marker genotype groups. For ... INTERSNP - a software for genome-wide interaction analysis (GWIA) of case-control SNP data and analysis of quantitative traits ...
"Pathogenic Properties (Virulence Factors) of Some Common Pathogens" (PDF).. *^ "Clindamycin" (PDF). Davis. 2017. Retrieved ... Wainer H (2014). Medical Illuminations: Using Evidence, Visualization and Statistical Thinking to Improve Healthcare. Oxford ... further analysis showed that neutrophils exposed to dead H. influenzae were more aggressive in attacking S. pneumoniae.[28] ... They have a polysaccharide capsule that acts as a virulence factor for the organism; more than 90 different serotypes are known ...
"Bayesian image analysis: An application to single photon emission tomography" (PDF). Proceedings Amererican Statistical ... One of the factors most responsible for the acceptance of positron imaging was the development of radiopharmaceuticals. In ... Statistical, likelihood-based approaches: Statistical, likelihood-based [37][38] iterative expectation-maximization algorithms ... Vardi, Y.; L. A. Shepp; L. Kaufman (1985). "A statistical model for positron emission tomography". Journal of the American ...
The analyses of the study show that complications were more likely in patients with pre-operative comorbidities. Patients older ... many factors such as the size of nostril, the size of the lesion, and the preferences of the surgeon cause the selection of one ... Aidan Carney and based on statistical evidence, was that the basophil adenoma Minnie might have harbored underwent partial ...
The reasons for low use are many, but a lack of dental providers who participate in Medicaid is a key factor.[53][54] Few ... "HCUP Statistical Brief #186. Rockville, MD: Agency for Healthcare Research and Quality.. ... "State Medicaid Expansions and Mortality, Revisited: A Cost-Benefit Analysis" (PDF). American Journal of Health Economics. 3 (3 ... Several political factors influence the cost and eligibility of tax-funded health care, according to a study conducted by ...
Statistical analysis software such as SPSS requires the user to select the appropriate measurement class for each variable. ... Cluster analysis. *Classification. *Structural equation model *Factor analysis. *Multivariate distributions *Elliptical ... Nelder, J. A. (1990). The knowledge needed to computerise the analysis and interpretation of statistical information. In Expert ... The studentized range and the coefficient of variation are allowed to measure statistical dispersion. All statistical measures ...
Hilberg's analysis of the steps that led to the destruction of European Jews revealed that it was "an administrative process ... This last factor was largely a consequence of allied military failure."[121] ... "Statistical Report on the "Final Solution", known as the Korherr Report of 23 March 1943" (PDF). Die Endlösung by Gerald ... and focused on factors which were overlooked earlier, such as personal initiative and ingenuity of countless functionaries in ...
Statistical analysis yielded a correlation between exposure of higher-frequency sounds to lower temporary threshold shifts and ... Potential risk factors[edit]. Temperature and heat exposure[edit]. The temperature and heat levels of the body are directly ... This factor is particularly interesting due to the fact that a large population of people listen to music while exercising. ... Blockage of the ear canal, common in [headphones], is thought to be a main contributing factor in listener fatigue. When cut ...
An analysis of the causes of stunting in Nepal reveals that around half is rooted in poor maternal nutrition and half in poor ... A contributing factor to deteriorating nutrition is high diarrheal disease morbidity, exacerbated by the lack of access to ... "Nepal: WHO Statistical Profile" (PDF). who.int. Retrieved 12 September 2016. "world bank". gapminder.org. Retrieved 7 September ... A contributing factor to deteriorating nutrition is high diarrheal disease morbidity, exacerbated by the lack of access to ...
Lighting conditions are a major factor in the appearance of a tornado. A tornado which is "back-lit" (viewed with the sun ... Louis J. Wicker, Robert B. Wilhelmson; Wilhelmson (1995). "Simulation and Analysis of Tornado Development and Decay within a ... Dotzek, Nikolai, Jürgen Grieser, Harold E. Brooks; Grieser; Brooks (2003-03-01). "Statistical modeling of tornado intensity ... Dust kicked up by the winds of the parent thunderstorm, heavy rain and hail, and the darkness of night are all factors which ...
Grissom RJ (1994). "Statistical analysis of ordinal categorical status after therapies". Journal of Consulting and Clinical ... Cluster analysis. *Classification. *Structural equation model *Factor analysis. *Multivariate distributions *Elliptical ... ρ statistic[edit]. A statistic called ρ that is linearly related to U and widely used in studies of categorization ( ... Area-under-curve (AUC) statistic for ROC curves[edit]. The U statistic is equivalent to the area under the receiver operating ...
"Statistical Summary (Autumn 2018)". osu.edu. Ohio State University. Retrieved February 10, 2019.. ... "Ohio State University SAT Score Analysis (New 1600 SAT)". prepscholar.com. PrepScholar. Retrieved April 18, 2019.. ... The Washington Monthly college rankings, which seek to evaluate colleges' contributions to American society based on factors of ... Center for Urban and Regional Analysis and Ohio Agricultural Research and Development Center. ...
Job Analysis of Chiropractic (PDF). Greeley, CO: National Board of Chiropractic Examiners. pp. 121-38. ISBN 1-884457-05-3. ... Gaumer G (2006). "Factors associated with patient satisfaction with chiropractic care: survey and review of the literature". J ... as opposed to statistical association) between cervical manipulative therapy (CMT) and VAS.[148] There is insufficient evidence ... Analysis of a clinical and cost utilization data from the years 2003 to 2005 by an integrative medicine independent physician ...
However, many researchers believe that species distribution models based on statistical analysis, without including ecological ... climatic factors consist of sunlight, atmosphere, humidity, temperature, and salinity; edaphic factors are abiotic factors ... Any non-living chemical or physical factor in the environment is considered an abiotic factor. There are three main types of ... Abiotic and biotic factorsEdit. The distribution of species into clumped, uniform, or random depends on different abiotic and ...
"Prognostic factors in low-grade supratentorial astrocytomas: A uni-multivariate statistical analysis in 76 surgically treated ... Risk factors. Neurofibromatosis, exposure to vinyl chloride, Epstein-Barr virus, ionizing radiation[1][2][3]. ... The cause of most brain tumors is unknown.[2] Uncommon risk factors include inherited neurofibromatosis, exposure to vinyl ... Epidemiological studies are required to determine risk factors.[19] Aside from exposure to vinyl chloride or ionizing radiation ...
Pregnancy is also a physical risk factor for many children. Much like if they are found to have HIV or AIDS the girls are ... Social Network Analysis, capture/recapture, and Markov based probability estimates in 2008 to generate a prevalence estimate ... who constituted the final statistical sample, the average age of entry into the market was 15.29. ... Other psychological risk factors include sleep and eating disorders, gender-disturbed sexual identity, hysteria, and even ...
By fitting the theoretical model to the measured R or T, or ψ and δ using regression analysis, n and κ can be deduced. ... "Statistical Calculation and Development of Glass Properties. Archived from the original on 2007-10-15.. ... The refractive index can be seen as the factor by which the speed and the wavelength of the radiation are reduced with respect ... but more accurate calculation of the refractive index requires replacing Z with the complex atomic form factor f. =. Z. +. f. ′ ...
However, FEE analyses do not consider shortage the main factor,[321] while FAD-oriented scholars such as Bowbrick (1986) hold ... The questionable accuracy of much of the available statistical data is a complicating factor, as is the fact that the debates ... More recent analyses often stress political factors.[BA] Discussions of the government's role split into two broad camps: those ... Sen, Amartya (1981b). "Ingredients of Famine Analysis: Availability and Entitlements". The Quarterly Journal of Economics. 96 ( ...
2017). Job strain as a risk factor for clinical depression: Systematic review and meta-analysis with additional individual ... Statistical methods commonly used in other areas of psychology are also used in OHP-related research. Statistical methods used ... Psychological factors are an important factor in occupational accidents that can lead to injury and death of employees. An ... Research has found that psychosocial workplace factors are among the risk factors for a number of categories of mental disorder ...
Faxin Yu; Hao Luo; Zheming Lu (2010). Three-Dimensional Model Analysis and Processing. Berlin: Springer. p. 47. ISBN ... The Burrows-Wheeler transform can also be viewed as an indirect form of statistical modelling.[9] In a further refinement of ... Although lossless video compression codecs perform at a compression factor of 5 to 12, a typical MPEG-4 lossy compression video ... In the last stage statistical redundancy gets largely eliminated by an entropy coder which often applies some form of ...
... but resist even a physical analysis carried to the extent required for an unambiguous application of the statistical laws of ... One contribution is randomness.[198] While it is established that that randomness is not the only factor in the perception of ... The first part of their analysis (which the only relevant part to this section) was not meant to discover the types of free ... The problem of predeterminism is one that involves the factors of heredity and environment, and the point to be debated here is ...
Music Therapists use lyric analysis in a variety of ways, but typically lyric analysis is used to facilitate dialogue with ... The use of musical interaction has been proven as a key factor in many countries for the improvement of older adults overall ... The DSM-IV TR (Diagnostic and Statistical Manual of Mental Disorders) lists bereavement as a mental health diagnosis when the ... A 2016 meta-analysis on the effects of music therapy in schizophrenic patients showed that the treatment in patients who ...
Graziella Caselli; Gillaume Wunsch & Jacques Vallin (2005). Demography: Analysis and Synthesis, Four Volume Set: A Treatise in ... A number of factors contributed to this increase, including the lessening of the mortality rate in many countries by improved ... Projected figures vary depending on underlying statistical assumptions and the variables used in projection calculations, ... Graziella Caselli; Gillaume Wunsch & Jacques Vallin (2005). Demography: Analysis and Synthesis, Four Volume Set: A Treatise in ...
... by central government in the 1930s for civil defence administration and subsequently used for various statistical analyses. The ... Both of these factors also cause it to experience the highest levels of snowfall and the lowest levels of sunshine. Exposed ... "Local Authority & County Analysis 2006-2010". GBTS England LA & County & Towns 2006-2010. VisitEngland. September 2011. p. 5. ... Statistical Bulletin. Office for national Statistics. 14 December 2011. p. 10. Archived (PDF) from the original on 4 May 2012. ...
Cohen, Jacob (1988). Statistical power analysis for the behavior sciences (2nd ed.). Routledge ISBN 978-0-8058-0283-2 ... Examples of all ANOVA and ANCOVA models with up to three treatment factors, including randomized block, split plot, repeated ... 變異數分析或變方分析(Analysis of variance,簡稱ANOVA)為資料分析中常見的統計模型,主要為探討連續型(Continuous)資料型態之因变量(Dependent variable)與類別型資料型態之自变量(Independent
Macroeconomic analysis also considers factors affecting the long-term level and growth of national income. Such factors include ... Statistical methods such as regression analysis are common. Practitioners use such methods to estimate the size, economic ... This method of analysis is known as partial-equilibrium analysis (supply and demand). This method aggregates (the sum of all ... This includes standard analysis of the business cycle in macroeconomics. Analysis often revolves around causes of such price ...
Factor - Download as Powerpoint Presentation (.ppt), PDF File (.pdf), Text File (.txt) or view presentation slides online. ... Objectives of Factor Analysis Designing a Factor Analysis Assumptions in Factor Analysis Deriving Factors and Assessing Overall ... Factor Analysis Learning Checkpoint 1. What are the major uses of factor analysis? 2. Should you use factor scores or summated ... Distinguish between R and Q factor analysis. 5. Identify the differences between component analysis and common factor analysis ...
CONFIRMATORY FACTOR ANALYSIS There are two main approaches to factor analysis that you will see described.  Exploratory factor ... for an underlying process by using observed variables.FACTOR ANALYSIS   The purpose of using factor analysis is to 1) ... Report statistical analysis. Basic element of analysis is numbers Report rich narrative, individual interpretation. Basic ... In terms of communalities.APPROPRIATENESS OF FACTOR ANALYSIS   In order to ensure the appropriateness of factor analysis. ...
"Factor Analysis, Statistical". 0-9. A. B. C. D. E. F. G. H. I. J. K. L. M. N. O. P. Q. R. S. T. U. V. W. X. Y. Z. * 0-9 ...
Statistical Reference Guide Factor analysis (FA) Factor analysis (FA) explores the underlying factors (latent variables) among ... Excel statistics analysis addin software Excel statistical analysis addin software Statistics software Statistical analysis ... Factor analysis is related to principal component analysis (PCA), but the two are not identical and have different purposes. FA ... Process Capability statistical software Capability Analysis add-in software Principal Component analysis addin software Excel ...
Excel statistics analysis addin software Excel statistical analysis addin software Statistics software Statistical analysis ... Statistical Analyses group, click Multivariate, and then click Common Factors. The analysis task pane opens. ... Factor analysis (FA) Extract the underlying factors (latent variables) among a large number of interrelated variables in a ... Process Capability statistical software Capability Analysis add-in software Principal Component analysis addin software Excel ...
State differences may have included such factors as statewide voter education efforts, state standards for determining what is ... Elections: Statistical Analysis of Factors That Affected Uncounted Votes in the 2000 Presidential Election ... General Accounting Office. Elections: Statistical Analysis of Factors That Affected Uncounted Votes in the 2000 Presidential ... State differences may have included such factors as statewide voter education efforts, state standards for determining what is ...
"Factor Analysis, Statistical" by people in this website by year, and whether "Factor Analysis, Statistical" was a major or ... "Factor Analysis, Statistical" is a descriptor in the National Library of Medicines controlled vocabulary thesaurus, MeSH ( ... Factor Analysis, Statistical*Factor Analysis, Statistical. *Analysis, Statistical Factor. *Analyses, Statistical Factor ... Below are the most recent publications written about "Factor Analysis, Statistical" by people in Profiles. ...
Statistic Based Method for Post-processing Analysis in Lifetime Investigations of Multi-factor Aged Winding Insulation. ... Statistic Based Method for Post-processing Analysis in Lifetime Investigations of Multi-factor Aged Winding Insulation. In: ... Fölting, C., Jenau, F.: Implementation and analysis of multi-factor aging tests on the winding insulation of original sized ... Cimino, A., Staubach, C., Jenau, F.: Analysis of accelerated multi-factor aging tests on the insulation system of generator ...
Statistical analysis of factors influencing early neurological deterioration after acute ischemic stroke using sparse logistic ... Principal component analysis and clustering were used to explore any possible groupings of the level of function measured with ... The analysis also shows that both level and variability of the time-dependent predictors are important, so that monitoring ... In a preliminary analysis the time-dependent variables from the study were explored with unsupervised methods and quintile ...
A statistical analysis of various factors associated with selected health problems among older adults in India ... A statistical analysis of various factors associated with selected health problems among older adults in India. ... Bakshi, Sanjeev and Pathak, Prasanta (2008): A statistical analysis of various factors associated with selected health problems ... Socio-Economic Factors Associated with the onset of Disability in Older Age: A Longitudinal Study of People Aged 75 Years and ...
Statistical analysis. Statistical analyses were performed with the help of Prism 7 (GraphPad, La Jolla, CA, USA). The ... Analysis of cilia dysfunction phenotypes in zebrafish embryos depleted of Origin recognition complex factors. *Lars D. Maerz1 ... Analysis of cilia dysfunction phenotypes in zebrafish embryos depleted of Origin recognition complex factors ... Analysis of cilia dysfunction phenotypes in zebrafish embryos depleted of Origin recognition complex factors. Eur J Hum Genet ...
Statistical Methods. SPSS version 21.0 was used to perform statistical analysis of the study. Continuous variables that had ... Factors Associated with Pancreatic β-Cell Function. The multiple logistic regression analysis showed that baseline HbA1c (OR ... Factors Associated with Insulin Resistance. According to the multiple logistic regression analysis, baseline FBG (OR 1.612; 95 ... In addition, logistic regression was performed to analyze the factors that may influence ∆HOMA-β and ∆HOMA-IR. Statistical ...
EBR and KF conducted the search and abstracted the data for the analysis. EBR and PW performed the statistical analysis. MC and ... factor VII, and von Willebrand factor (see table B on website)-factors that have been associated with risk of coronary heart ... Fibrinogen as a cardiovascular risk factor: a meta-analysis and review of the literature. Ann Intern Med 1993; 118: 956-963. ... Moderate alcohol intake and lower risk of coronary heart disease: meta-analysis of effects on lipids and haemostatic factors ...
Statistical Analysis. Overall, we evaluated separately the association between 6 potential predictors (IABD, EABD, GD, ... Prenatal Risk Factors and Outcomes in Gastroschisis: A Meta-Analysis. Francesco DAntonio, Calogero Virgone, Giuseppe Rizzo, ... Prenatal Risk Factors and Outcomes in Gastroschisis: A Meta-Analysis Message Subject (Your Name) has sent you a message from ... Prenatal Risk Factors and Outcomes in Gastroschisis: A Meta-Analysis. Francesco DAntonio, Calogero Virgone, Giuseppe Rizzo, ...
Statistical Snapshot. Cases argued. 22. Cases decided. 1. Summary reversals. 0. Merits cases granted to date. 55. ... Opinion analysis: Form order certifying that judge considered appropriate factors was sufficient to explain sentencing ... Recommended Citation: Susan Klein, Opinion analysis: Form order certifying that judge considered appropriate factors was ... www.scotusblog.com/2018/06/opinion-analysis-form-order-certifying-that-judge-considered-appropriate-factors-was-sufficient-to- ...
Significance and statistical errors in the analysis of DNA microarray data. Proc. Natl. Acad. Sci. U.S.A. 99, 12975-12978 (2002 ... An analysis of critical factors for quantitative immunoblotting Message Subject. (Your Name) has forwarded a page to you from ... Statistical analysis. Serial dilutions were fit to linear or hyperbolic models by least-squares regression in IGOR Pro ( ... 8, E and G). This analysis showed that AC16 cells had greater than sevenfold more ERK2 protein compared to HT-29 cells, despite ...
Enzyme-linked immunosorbent assays (ELISAs) were used to measure the levels of inflammatory factors. Western blotting was used ... The systemic knockout of mGlur5 did not affect the gut microbiota or inflammatory factors in mice. ... Enzyme-linked immunosorbent assays (ELISAs) were used to measure the levels of inflammatory factors. Western blotting was used ... Statistical Analyses. All data except for data on the microbiota are expressed as means ± SEM. The unpaired t-test, two-sided t ...
... we examined the gene expression patterns for petals of three colors using a statistical method. Factor analysis was ... we examined the gene expression patterns for petals of three colors using a statistical method. Factor analysis was ... requiring factor analysis to supplement the other results. Combining the results of the correlation analysis between TFs and ... requiring factor analysis to supplement the other results. Combining the results of the correlation analysis between TFs and ...
Subgroup analysis and sensitivity analysis were performed to evaluate for heterogeneity between studies. Results Of the 395 ... We performed a meta-analysis to evaluate the association between the plasma level of TGF-β1 and the risk of AF. Methods ... Conclusions This meta-analysis suggests an association between elevated plasma TGF-β1 and new onset AF. Additional studies with ... studies identified initially, 13 studies were included into our analysis, with a total of 3354 patients. Higher plasma level of ...
S.A.E.P. conducted the analyses, interpreted the data, and drafted the article. M.W. oversaw the statistical analysis, ... Meta-analysis. Type 2 Diabetes as a Risk Factor for Dementia in Women Compared With Men: A Pooled Analysis of 2.3 Million ... Diabetes as risk factor for incident coronary heart disease in women compared with men: a systematic review and meta-analysis ... Data Extraction and Statistical Analysis. The primary end points were incident all-cause dementia, vascular dementia, and ...
Statistical analysis. Prognostic factors and confounders were selected using clinical reasoning and literature review. Selected ... A further exploratory analysis of treatment groups revealed differences in prognostic factors, suggesting that delaying ACL ... Long-term results of anterior cruciate ligament reconstruction using bone-patellar tendon-bone: an analysis of the factors ... All underlying assumptions were assessed prior to analyses (including normality, multicollinearity between prognostic factors ...
Statistical analysis. The present meta-analysis was performed with the RevMan 5.0 and software Stata 12.0. We measured the ... Sensitivity analysis. We performed sensitivity analysis to evaluate the reliability of the meta-analysis by deleting one single ... Macrophage migration inhibitory factor-794 CATT microsatellite polymorphism and risk of tuberculosis: a meta-analysis Mingbiao ... These factors had an effect on the heterogeneity in meta-analysis. Second, we only included studies published in English and ...
Statistical Analysis. We estimated from each cohort the cumulative incidence (event rate) and 95% confidence interval of the ... Risk Factors for Growth of Intracranial Aneurysms: A Systematic Review and Meta-Analysis. W. Brinjikji, Y.-Q. Zhu, G. Lanzino, ... Risk factors for aneurysm growth have not been as extensively studied as those for aneurysm rupture. This meta-analysis ... In addition, we performed a separate analysis to determine the rupture rate of growing aneurysms. We hypothesized that factors ...
Statistical analysis. The independent sample Student t test was used to compare SOD1, DUSP1, and TGF-β1 expression between the ... Transforming growth factor, beta 1. The TGF-β1 gene, which is located on 19q13.1 [38], is a persuasive divergent growth factor ... Chang WW, Zhang L, Jin Y-l Yao Y-s. Meta-analysis of the transforming growth factor-β1 polymorphisms and susceptibility to ... Analysis of superoxide dismutase 1, dual-specificity phosphatase 1, and transforming growth factor, beta 1 genes expression in ...
Statistical Analyses. Individual and multi-environment analyses Individual and joint analyses were performed in the R 3.2.1 ... Factor analysis of the G+GE matrix. In regard to factor analysis, one of the most important aspects is in regard to the number ... Factor analysis of the G+GE matrix. Factor analysis was applied to the matrix whose elements consist of the sum of the BLUPs of ... which is fewer than the number of factors indicated by the eigenvalues greater than 1.0 (seven). Nevertheless, factor analysis ...
Statistical analyses. All statistical analyses were performed using SPSS version 20 software (SPSS Inc.), MedCalc software ( ... Analysis and interpretation of data (e.g., statistical analysis, biostatistics, computational analysis): M. Pichler, V. ... Genome-Wide miRNA Analysis Identifies miR-188-3p as a Novel Prognostic Marker and Molecular Factor Involved in Colorectal ... Genome-Wide miRNA Analysis Identifies miR-188-3p as a Novel Prognostic Marker and Molecular Factor Involved in Colorectal ...
All analyses were performed based on complete case analysis, using the Statistical Package for the Social Sciences V.21.0 (SPSS ... Prognostic factors for patellofemoral pain: a multicentre observational analysis. Br J Sports Med 2013;47:227-33. doi:10.1136/ ... Statistical analyses. To establish whether there was selective loss to follow-up, characteristics of long-term participants (n= ... Factors that predict a poor outcome 5-8 years after the diagnosis of patellofemoral pain: a multicentre observational analysis ...
And yes, if youre going to use a statistical test, you need to check whether those assumptions are reasonable to whatever ... Every statistical model and hypothesis test has assumptions. ... Survival Analysis and Event History Analysis. *Data Analysis ... The Analysis Factor uses cookies to ensure that we give you the best experience of our website. If you continue we assume that ... The 13 Steps to Running Any Statistical Model. Get the road map for your data analysis before you begin. Learn how to make any ...
Statistical analysis of a class of factor time series models. Journal of Statistical Planning and Inference. 2006 Jul 1;136(7 ... title = "Statistical analysis of a class of factor time series models",. abstract = "For a class of factor time series models, ... Taniguchi, M, Maeda, K & Puri, ML 2006, Statistical analysis of a class of factor time series models, Journal of Statistical ... Statistical analysis of a class of factor time series models. Journal of Statistical Planning and Inference, 136(7 SPEC. ISS ...
Statistical analysis. To examine the gender gap in smoking prevalence between 1995 and 2015, two-sample proportion tests were ... The analysis was then repeated for each gender individually to detect if any factors played different roles between female and ... The main analysis examined the factors associated with adolescents smoking behaviours across the last three survey waves using ... All of the statistical analysis was conducted in IBM SPSS Statistics V.22. ...
  • report that several years have gone by trying to summarize the effects of the GxE interaction in only one univariate statistic (though it is conceptually multivariate) and they state that recent studies have shown this concept must be abandoned. (scielo.br)
  • Univariate and multivariate logistic regression analyses were performed to evaluate the risk factors associated with decreased renal function after hand-assisted laparoscopic donor nephrectomy. (medsci.org)
  • Associations between selected parameters and survival were tested through univariate analyses, then completed with multivariate analyses and a bootstrap resampling technique. (aacrjournals.org)
  • In univariate analysis histologic grade, tumor size, number of involved nodes, estrogen and progesterone receptor status, p53, Ki-67, tubulin III, and τ protein were associated both with DFS and with OS. (aacrjournals.org)
  • Univariate and multivariate analyses were conducted to identify risk factors associated with cervical LNM. (dovepress.com)
  • Univariate analysis identified the following factors: decreased level of consciousness, craniotomy, prior use of antibiotics, mechanical ventilation, nasogastric tube feeding, enteral feeding, aspiration of gastric contents, central venous catheter and the time spent in the ICU. (scielo.br)
  • 2. Distinguish between exploratory and confirmatory uses of factor analytic techniques. (scribd.com)
  • Confirmatory Factor Analysis (CFA) = is used to confirm the fit of the hypothesized factor structure to the observed (sample) data. (scribd.com)
  • Confirmatory factor analysis is a more complex and sophisticated set of techniques used later in the research process to test (confirm) specific hypotheses or theories concerning the structure underlying a set of variables.EXPLORATORY VS.  . CONFIRMATORY FACTOR ANALYSIS There are two main approaches to factor analysis that you will see described. (scribd.com)
  • Wellman RJ, DiFranza JR, O'Loughlin J. Confirmatory factor analysis of the Autonomy over Tobacco Scale (AUTOS) in adults. (umassmed.edu)
  • In statistics, confirmatory factor analysis (CFA) is a special form of factor analysis, most commonly used in social research. (wikipedia.org)
  • As such, the objective of confirmatory factor analysis is to test whether the data fit a hypothesized measurement model. (wikipedia.org)
  • In confirmatory factor analysis, the researcher first develops a hypothesis about what factors they believe are underlying the measures used (e.g. (wikipedia.org)
  • In confirmatory factor analysis, researchers are typically interested in studying the degree to which responses on a p x 1 vector of observable random variables can be used to assign a value to one or more unobserved variable(s) η. (wikipedia.org)
  • When developing a scale, researchers should use EFA first before moving on to confirmatory factor analysis (CFA). (wikipedia.org)
  • Part II describes factor analyses in construct validation, including exploratory factor analysis, confirmatory factor analysis, and models of multitrait-multimethod data analysis. (wiley.com)
  • A set of statistical methods for analyzing the correlations among several variables in order to estimate the number of fundamental dimensions that underlie the observed data and to describe and measure those dimensions. (umassmed.edu)
  • As experiments are very expensive and require a lot of time, and the experimental setup only permits a limited number of test samples at the same time, it is essential to analyze the already available lifetime data with the use of statistical methods within post-processing. (springer.com)
  • For this reason, different statistic methods are used to optimize the empirical data post-processing for assessing statistical accuracy and to improve the quality of predictions for small sample size. (springer.com)
  • In a preliminary analysis the time-dependent variables from the study were explored with unsupervised methods and quintile analysis. (bibsys.no)
  • Methods Exploratory analysis of the Knee Anterior Cruciate Ligament, Nonsurgical versus Surgical Treatment (KANON) trial ( ISRCTN84752559 ). (bmj.com)
  • comparing environmental stratification by different methods, have concluded that factor analysis is more realistic and informative and that it more efficiently considers the magnitude of the GxE interaction of genotypes in maize. (scielo.br)
  • Methods We re-examined the X chromosome data from our recent GWAS for Graves' disease by including males that were previously excluded from the X chromosome analyses. (bmj.com)
  • The cholesterol-reducing ability of each mutant was determined and verified using two different methods: the o -phthalaldehyde assay and gas chromatographic analysis (GC). (pubmedcentralcanada.ca)
  • Especially, in the MBD analysis including a flexible upper body, in substitution for large number degree of freedom FE model such as trimmed body, it should take a few times longer than the case of rigid upper body This paper proposes the methods of reducing computational cost with adequate mode selections without the loss of simulation accuracy in the flexible MBD. (sae.org)
  • There are several factor analysis fitting methods to choose from, however there is little information on all of their strengths and weaknesses and many don't even have an exact name that is used consistently. (wikipedia.org)
  • Principal axis factoring (PAF) and maximum likelihood (ML) are two extraction methods that are generally recommended. (wikipedia.org)
  • This book offers a comprehensive treatment of the statistical models and methods needed to properly examine the psychometric properties of assessment scale data. (wiley.com)
  • This instructive book presents statistical methods and procedures for the validation of assessment scale data used in counseling, psychology, education, and related fields. (wiley.com)
  • Dr. Dimitrov offers students, researchers, and clinicians step-by-step guidance on contemporary methodological principles, statistical methods, and psychometric procedures that are useful in the development or validation of assessment scale data. (wiley.com)
  • This text provides a theoretical and practical introduction to statistical methods for students, researchers and practitioners carrying out quantitative research in organizations. (booktopia.com.au)
  • Factor analysis: Statistical methods and practical Issues. (indiana.edu)
  • In this program, you will study methods and techniques for the measurement of human attributes, the statistical and mathematical modeling of psychological processes, the design of research studies, and the analysis of psychological data. (bsu.edu)
  • This course teaches you how to use analysis of variance and regression methods to analyze data with a single continuous response variable. (sas.com)
  • The data were analysed using logistic regression analysis including sex as a covariate, and an additive method assuming X chromosome inactivation, implemented in snpMatrix. (bmj.com)
  • To ensure that the risk combination selected by FNN analysis was statistically reliable, we performed logistic regression analysis including adjustment. (pubmedcentralcanada.ca)
  • Learn how to make any statistical modeling - ANOVA, Linear Regression, Poisson Regression, Multilevel Model - straightforward and more efficient. (theanalysisfactor.com)
  • An intro lecture on 2 Factor Anova with interactivity, voice-over and animations. (merlot.org)
  • ANOVA of the Rust data and calculating the factor means and the grand mean, table 17.2b, p. 712. (ucla.edu)
  • Relationships between prognostic factors (baseline cartilage, meniscus and osteochondral damage, baseline extension deficit, baseline patient-reported outcomes, number of rehabilitation visits, graft/contralateral ACL rupture, non-ACL surgery and ACL treatment strategy) and 5-year Knee Injury and Osteoarthritis Outcome Score (KOOS) pain, symptoms, sport/recreation and quality of life (QOL) scores were explored using multivariable linear regression. (bmj.com)
  • Multivariate backward stepwise linear regression analyses were used to evaluate the prognostic ability of baseline pain duration, pain VAS and AKPS on outcomes of pain VAS and AKPS at 5-8 years. (bmj.com)
  • Statistical analysis was accomplished using Chi-squares test and Logistic Linear Regression. (bvsalud.org)
  • Data reduction = extends the process of data summarization by deriving an empirical value (factor score or summated scale) for each dimension (factor) and then substituting this value for the original values. (scribd.com)
  • 1996. An Introduction to Categorical Data Analysis. (uni-muenchen.de)
  • All meta-analyses were computed using individual data random-effect logistic regression, with single study as the cluster unit. (archive.org)
  • The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. (plos.org)
  • We performed a meta-analysis of unpublished data to estimate the sex-specific relationship between women and men with diabetes with incident dementia. (diabetesjournals.org)
  • The aim of this study was to carry out factor analysis in data from multi-environment experiments by the mixed model approach (REML/BLUP). (scielo.br)
  • But now that you're doing real data analysis? (theanalysisfactor.com)
  • But remember, in data analysis, it's impossible not to. (theanalysisfactor.com)
  • Get the road map for your data analysis before you begin. (theanalysisfactor.com)
  • See the incredible usefulness of logistic regression and categorical data analysis in this one-hour training. (theanalysisfactor.com)
  • The data are from the best available surveys on Irish adolescents from 1995 to 2015 using an internationally validated survey instrument, including comprehensive measurement for smoking-related factors. (bmj.com)
  • A meta - analysis of relative risk was conducted for studies that had data reported by HIV status. (springer.com)
  • By using health check-up data from two large studies collected during a long-term follow-up, we searched for risk factors associated with the development of metabolic syndrome. (pubmedcentralcanada.ca)
  • This result obtained by fuzzy neural network analysis of health check-up data from large long-term studies can be useful in providing a personalized novel diagnostic and therapeutic method involving the γ-GTP level and the WBC count. (pubmedcentralcanada.ca)
  • Survey Analysis , article on The Analysis Of Attribute Data . (encyclopedia.com)
  • If the constraints the researcher has imposed on the model are inconsistent with the sample data, then the results of statistical tests of model fit will indicate a poor fit, and the model will be rejected. (wikipedia.org)
  • Objectives Gastro-oesophageal reflux symptoms are common in the community, but there has been no definitive systematic review and meta-analysis of data from all studies to estimate their global prevalence, or potential risk factors for them. (bmj.com)
  • There has been no definitive systematic review of data concerning the prevalence of gastro-oesophageal reflux symptoms, or risk factors for them, globally. (bmj.com)
  • These data provide an analysis of the global prevalence of gastro-oesophageal reflux symptoms and may allow for health service provision planning. (bmj.com)
  • Participants with self-reported cancer at baseline ( n = 49,318), proxy respondents ( n = 15,760), death record data only ( n = 4255) or who had missing data on behavioral risk factors (40,676) and race (9566) were excluded from analysis. (springermedizin.de)
  • He has also led data analysis studies to identify trends in modeling and simulation as well as education in order to enhance international cooperation and innovation. (slideshare.net)
  • We conducted a retrospective analysis of data from all 900 children (469 boys and 431 girls) born in Ibara between April 2, 2006 and March 31, 2009, as well as data from their mothers. (scirp.org)
  • Emphasis is placed on understanding key statistical concepts and issues, developing knowledge of available statistical techniques and what they can be used for, becoming familiar with practical data analysis, and knowing how to interpret and report the results of statistical analysis. (booktopia.com.au)
  • 3.To carry out MS analyses of data by SAS software and to interpret the analysis results in written reports. (indiana.edu)
  • 4 .To understand selected articles which address unresolved theoretical issues in MS. These issues largely deal with statistical assumptions or the adequacy of applying certain models/procedures to real-world data. (indiana.edu)
  • I am setting up a factor analysis with the Factor procedure, under Analyze->Data Reduction->Factor, and click on the Rotation button to choose a factor rotation method. (ibm.com)
  • Eleven of the book's appendices provide further opportunities for the reader to repeat many of the statistical procedures on different data sets. (ecampus.com)
  • In the Analysis area on the right, you should see a Data Analysis button. (lynda.com)
  • The Data Analysis dialog box appears. (lynda.com)
  • Scroll up and down and take a look at the list of tools that this Data Analysis Add-in provides. (lynda.com)
  • So we looked at installing a ToolPak, we looked at a list of the data analysis tools, and we worked with the Descriptive Statistics tool. (lynda.com)
  • Since the determination of influencing factors for IPM adoption was the main focus of this study, all Bangladeshi farmers were the major sources of data collection. (omicsonline.org)
  • This program will provide you with basic and advanced statistical knowledge and skills, plus the proficiency to analyze and apply data in a variety of social science-related data situations that are necessary for many public and private sector jobs in education and industry, as well as for pursuing a doctoral degree. (bsu.edu)
  • You learn how to perform elementary exploratory data analysis (EDA) and discover natural patterns in data. (sas.com)
  • The current sub-analysis of the MARCH trail aims to evaluate the baseline characteristics that may influence the improvement of pancreatic β-cell function and insulin resistance after acarbose therapy in Chinese patients with newly diagnosed T2DM. (springer.com)
  • We performed a meta-analysis to evaluate the association between the plasma level of TGF-β1 and the risk of AF. (plos.org)
  • Subgroup analysis and sensitivity analysis were performed to evaluate for heterogeneity between studies. (plos.org)
  • Therefore, we conducted a comprehensive meta-analysis to evaluate the available evidence of whether high plasma TGF-β1 levels are related to the risk of having AF. (plos.org)
  • The purpose of the present study was to pool the findings from several large community-based cohort studies to evaluate more systematically whether CKD, as quantified by estimated GFR, is a risk factor for CVD. (asnjournals.org)
  • To evaluate the association between family income and cardiovascular risk factors in young adults. (scielosp.org)
  • 2.To be able to objectively evaluate manuscripts in which selected MS analyses were employed. (indiana.edu)
  • The objective of this contemporary cohort study was to evaluate the risk factors for the development of pneumonias in patients admitted to an adult intensive care unit of the State University of Londrina's Teaching Hospital. (scielo.br)
  • Finally we designed a case-case-control study to evaluate predictive factors in those infants colonized or infected by P. aeruginosa. (omicsonline.org)
  • Evaluate assumptions of statistical hypothesis testing. (sas.com)
  • A previously untreated cohort of patients was created in 1994 to investigate risk factors for inhibitor development. (haematologica.org)
  • Every statistical model and hypothesis test has assumptions. (theanalysisfactor.com)
  • It should be used when the researcher has no a priori hypothesis about factors or patterns of measured variables. (wikipedia.org)
  • while CFA allows the researcher to test the hypothesis that a relationship between the observed variables and their underlying latent factor(s)/construct(s) exists. (wikipedia.org)
  • Bootstrap confidence intervals for ordinary least squares factor loadings and correlations in exploratory factor analysis. (stata.com)
  • ID was adapted to the availability of variables and to the results of an exploratory analysis. (isciii.es)
  • Meta-analysis of all experimental studies that assessed the effects of moderate alcohol intake on concentrations of high density lipoprotein cholesterol, apolipoprotein A I, fibrinogen, triglycerides, and other biological markers previously found to be associated with risk of coronary heart disease. (bmj.com)
  • This meta-analysis suggests an association between elevated plasma TGF-β1 and new onset AF. (plos.org)
  • Li J, Yang Y, Ng CY, Zhang Z, Liu T, Li G (2016) Association of Plasma Transforming Growth Factor-β1 Levels and the Risk of Atrial Fibrillation: A Meta-Analysis. (plos.org)
  • We performed a meta-analysis examining risk factors for intracranial aneurysm growth in longitudinal studies and examined the association between aneurysm growth and rupture. (ajnr.org)
  • A meta-analysis was performed by using a random-effects model by using summary statistics from included studies. (ajnr.org)
  • For validation purposes, we performed a meta-analysis in Oncomine database in five sarcoma datasets. (physiology.org)
  • The present meta-analysis suggests that older age at menopause and parity are risk factors for thyroid cancer, while longer duration of breast feeding plays a protective role against this cancer. (hindawi.com)
  • A comprehensive meta-analysis was made to provide a more precise estimate of the relationship between them. (biomedcentral.com)
  • 9 case-control studies were included in this meta-analysis. (biomedcentral.com)
  • The meta-analysis involving 2723 subjects did not detect any association between the TNF -238G/A polymorphism and tuberculosis susceptibility. (biomedcentral.com)
  • Thus, we carried out a meta-analysis in order to estimate the association between the TNF-238G/A polymorphism and susceptibility to TB. (biomedcentral.com)
  • Conclusions Treatment-dependent differences in prognostic factors for 5-year outcomes may support individualised treatment after acute ACL rupture in young active individuals. (bmj.com)
  • 2005). p. prior to using them in other analyses such as multiple regression or multivariate analysis of variance (Pallant. (scribd.com)
  • Subsequently, logit regression models are utilized to explain how various socioeconomic, cultural, demographic and life style factors are associated with selected health problems among the older adults. (uni-muenchen.de)
  • Financial dependency, household economic status, education and lifestyle factors are found to be significant socioeconomic predictors of health at older ages. (uni-muenchen.de)
  • Sensitivity analyses were conducted to assess the robustness of the results in respect to misspecification of the model. (biomedcentral.com)
  • To identify factors predictive of sensitivity to taxane-based regimens in patients with breast cancer, we analyzed immunohistochemical markers in primary tumors of patients randomized to a taxane-based or a taxane-free adjuvant regimen. (aacrjournals.org)
  • These variables were optimized using a DOE (Design of Experiments) sensitivity analysis. (sae.org)
  • Lacking a systematic assessment of key factors, researchers are prone to repeat or reinforce mistakes that others have made before them. (sciencemag.org)
  • Usually, researchers would have a large number of measured variables, which are assumed to be related to a smaller number of "unobserved" factors. (wikipedia.org)
  • Researchers must carefully consider the number of measured variables to include in the analysis. (wikipedia.org)
  • The maximum likelihood method has many advantages in that it allows researchers to compute of a wide range of indexes of the goodness of fit of the model, it allows researchers to test the statistical significance of factor loadings, calculate correlations among factors and compute confidence intervals for these parameters. (wikipedia.org)
  • When selecting how many factors to include in a model, researchers must try to balance parsimony (a model with relatively few factors) and plausibility (that there are enough factors to adequately account for correlations among measured variables). (wikipedia.org)
  • Overfactoring occurs when too many factors are included in a model and may lead researchers to put forward constructs with little theoretical value. (wikipedia.org)
  • SALT provides a step-by-step approach to the most useful statistical analyses for language test developers and researchers based on the programs IBM SPSS, Winsteps and Facets. (ecampus.com)
  • In the subgroup analyses by ethnicity, types of TB and human immunodeficiency virus (HIV) status, no significant association were identified. (biomedcentral.com)
  • Within the limitations of a cross-sectional study design with self-reported tuberculosis status, these results adds to previous evidence of a causal link between problem drinking and tuberculosis, and suggest that the observed higher prevalence of tuberculosis among problem drinkers commonly found in population studies cannot be attributed to the confounding effect of the uneven distribution of other risk factors. (biomedcentral.com)
  • To review the prevalence, incidence and risk factors for AGWs in SSA prior to the introduction of HPV vaccination programs. (springer.com)
  • A provincial survey was performed in order to estimate the prevalence of hypertension control and the associated factors in the elderly population. (biomedcentral.com)
  • The prevalence of the genotypes varied by geographic region and influenced by demographic and risk factors. (biomedcentral.com)
  • The objective of the current study was to quantify and analyze the prevalence and severity of the gingival recession problem and also to identify the influence of some risk factors on gingival recession's occurrence. (bvsalud.org)
  • Higher values of Kappa lead to higher correlations among factors and simpler structure of the loadings. (ibm.com)
  • The optimum Kappa is that value which gives the simplest structure with the lowest correlations among factors. (ibm.com)
  • And yes, if you're going to use a statistical test, you need to check whether those assumptions are reasonable to whatever extent you can. (theanalysisfactor.com)
  • Don't rely on a single statistical test to decide if another test's assumptions have been met. (theanalysisfactor.com)
  • For a class of factor time series models, which is called a multivariate time series variance component (MTV) models, we consider the problem of testing whether an observed time series belongs to this class. (elsevier.com)
  • operatorname {tr} (R(\Lambda \Omega \Lambda {'}+I-\operatorname {diag} (\Lambda \Omega \Lambda {'})^{-1})-\ln(R)-p} where Λ Ω Λ ′ + I − diag ⁡ ( Λ Ω Λ ′ ) {\displaystyle \Lambda \Omega \Lambda {'}+I-\operatorname {diag} (\Lambda \Omega \Lambda {'})} is the variance-covariance matrix implied by the proposed factor analysis model and R {\displaystyle R} is the observed variance-covariance matrix. (wikipedia.org)
  • Called "principal" axis factoring because the first factor accounts for as much common variance as possible, then the second factor next most variance, and so on. (wikipedia.org)
  • You just viewed Two Factor Analysis of Variance... . (merlot.org)
  • Multivariate analysis of variance. (indiana.edu)
  • Y502) in applied statistics which covered ordinary least squares regression models and analysis of variance in factorial designs. (indiana.edu)
  • fungal infection, number of cases in previous week and separation into cohorts (protection factor). (omicsonline.org)
  • Bootstrap fit testing, confidence intervals, and standard error estimation in the factor analysis of polychoric correlation matrices. (stata.com)
  • A Class of Population Covariance Matrices in the Bootstrap Approach to Covariance Structure Analysis. (stata.com)
  • In multivariate statistics, exploratory factor analysis (EFA) is a statistical method used to uncover the underlying structure of a relatively large set of variables. (wikipedia.org)
  • 5. Identify the differences between component analysis and common factor analysis models. (scribd.com)
  • State differences may have included such factors as statewide voter education efforts, state standards for determining what is a valid vote, the use of straight party ballots, the number of candidates on the ballot, the use of provisional ballots, and the extent to which absentee or early voting occurred. (unt.edu)
  • We were particularly interested in differences between black and white subjects, as a previous analysis by our group revealed a trend toward a differing impact of CKD depending on whether subjects were black or white ( 18 ). (asnjournals.org)
  • Multidimensional analysis with strength of sensorial stimulus, preference, and overall satisfaction revealed differences in patterns between the PN and PY groups. (nih.gov)
  • The analysis also shows that both level and variability of the time-dependent predictors are important, so that monitoring patients closely the first few days after acute ischemic stroke is essential for the outcome. (bibsys.no)
  • CKD is a risk factor for the composite outcome of all-cause mortality and cardiovascular disease in the general population and a more pronounced risk factor in blacks than in whites. (asnjournals.org)
  • The preliminary analysis led to using a binary response and different summary statistics for the time-dependent predictors. (bibsys.no)
  • Therefore, the study was designed to forecast malaria cases using climatic factors as predictors in Delhi, India. (hindawi.com)
  • Exploratory factor analysis (EFA) identifies the underlying relationships between a large number of interrelated variables when there are no prior hypotheses about factors or patterns amongst the variables. (analyse-it.com)
  • This article identifies novel factors involved in cholesterol reduction by probiotic bacteria, which were identified using genetic and proteomic approaches. (pubmedcentralcanada.ca)
  • Exploratory Factor Analysis (EFA) = is used to discover the factor structure of a construct and examine its reliability. (scribd.com)
  • Factor analysis was successfully used to examine the expression patterns most present during regulation. (frontiersin.org)
  • Multivariate logistic regression was performed to examine the factors associated with smoking behaviours. (bmj.com)
  • The Chi-squared-based Q-test and I-squared I 2 statistic were calculated to examine heterogeneity. (biomedcentral.com)
  • It has to be noted that only a small sample size is available, which limits a statistical significant evaluation. (springer.com)
  • This study suggests that meticulous evaluation of risk factors associated with LNM is required in order to guide the surgical treatment of PTMC patients in clinical practice. (dovepress.com)
  • This study implemented diagnostic experiments that assess an immunoblot-analysis workflow for accuracy and precision. (sciencemag.org)
  • To quantitatively assess the superoxide dismutase 1 ( SOD1 ), transforming growth factor, beta 1 ( TGF-β1 ), and dual-specificity phosphatase 1 ( DUSP1 ) messenger ribonucleic acid (mRNA) expression levels as the main intracellular reactive oxygen species neutralizers, wound healing mediators, and immunomodulators (respectively) in keratoconic (KCN) and non-KCN corneas. (molvis.org)
  • The aim of this study was to assess risk and prognostic factors for neonatal sepsis prevailing at a medical unit in southeastern Mexico. (biomedcentral.com)
  • Assess interactions between factors and curvature. (sas.com)
  • Factor analysis (FA) explores the underlying factors (latent variables) among a large number of interrelated variables. (analyse-it.com)
  • Extract the underlying factors (latent variables) among a large number of interrelated variables in a multidimensional dataset. (analyse-it.com)
  • A newly developed analysis method, "exploratory structural equation modeling", specifies hypotheses about the relation between observed indicators and their supposed primary latent factors while allowing for estimation of loadings with other latent factors as well. (wikipedia.org)
  • In the present study, we examined the gene expression patterns for petals of three colors using a statistical method. (frontiersin.org)
  • GPR174 did not show sex biased gene expression in our expression analysis. (bmj.com)
  • Finally, Gene Ontology annotation enrichment analysis revealed significant roles of the PARK7 interactome in NuRD, CHD, and SWI/SNF protein complexes. (physiology.org)
  • Oligonucleotide microarrays [ 25 ] offer an attractive experimental approach for such global gene expression analyses. (biomedcentral.com)
  • The search terms used (both in English and Chinese databases) were as follows: tuberculosis or TB or mycobacteria, polymorphism or variant or mutation or susceptibility, "tumor necrosis factor" or TNF or cytokine or gene. (biomedcentral.com)
  • It is used to test whether measures of a construct are consistent with a researcher's understanding of the nature of that construct (or factor). (wikipedia.org)
  • Treatment with exercise therapy alone was a prognostic factor for less knee symptoms compared with early reconstruction plus exercise therapy (regression coefficient 10.1, 95% CI 2.3 to 17.9). (bmj.com)
  • Following delayed reconstruction, baseline meniscus damage was a prognostic factor for less pain (14.3, 95% CI 0.7 to 27.9). (bmj.com)
  • 608). and to 3) provide an operational definition (a regression equation) for an underlying process by using observed variables.FACTOR ANALYSIS   The purpose of using factor analysis is to 1) summarize patterns of correlations among observed variables. (scribd.com)
  • The first expression patterns in the white and red petals were clearly demonstrated and have revealed different mechanisms of producing the proper components, whereas that in the pink petals was more complex, requiring factor analysis to supplement the other results. (frontiersin.org)
  • At enrollment, participants completed a baseline questionnaire assessing lifestyle and behavioral risk factors such as smoking, alcohol, physical activity and dietary patterns. (springermedizin.de)
  • Several studies have shown the relationship between the macrophage migration inhibitory factor (MIF)-794 CATT (MIF-794 CATT) microsatellite polymorphism and susceptibility to TB. (portlandpress.com)
  • Inherited genetic factors make a minor contribution to susceptibility to most types of neoplasms. (nih.gov)
  • Aim Identify injury-related, patient-reported and treatment-related prognostic factors for 5-year outcomes in acutely ACL-ruptured individuals managed with early reconstruction plus exercise therapy, exercise therapy plus delayed reconstruction or exercise therapy alone. (bmj.com)
  • EFA is a technique within factor analysis whose overarching goal is to identify the underlying relationships between measured variables. (wikipedia.org)
  • We identify transcriptional downregulation of components of the insulin-like growth factor signaling pathway, in particular downregulation of Irs1 and upregulation of Let-7 microRNA expression, as a signature of the aged phenotype. (biomedcentral.com)
  • The aim of this study was to identify factors associated with body mass index (BMI) trajectories in Japanese toddlers. (scirp.org)
  • Hence, the aim of this study was to identify infants' physical characteristics, as well as maternal behavioural factors that are associated with BMI trajectories in Japanese toddlers from birth until the age of 3 years. (scirp.org)
  • The aim of this study was to identify factors influencing habitat use by red and roe deer, Cervus elaphus and Capreolus capreolus , in the Lüneburger Heide, Germany. (bioone.org)
  • The objective of this study was to identify predisposing factors for pneumonia. (scielo.br)
  • This system was developed using finite element analyses and impact testing. (sae.org)
  • The component elastic deformations are usually expressed by modal superposition from component normal mode analysis with finite element model for reducing model size and simulation time. (sae.org)
  • A finite element model of the full vehicle was constructed for the strength analysis. (sae.org)
  • The result of this analysis has been obtained using the Finite Element software, STAAD.Pro and is discussed thoroughly. (bartleby.com)
  • Flavonoid biosynthesis has received much attention concerning the structural genes and expression of the associated transcription factors (TFs). (frontiersin.org)
  • Combining the results of the correlation analysis between TFs and structural genes, the effects of each TF on the main expression pattern in each cultivar were determined. (frontiersin.org)
  • Transcription factors (TFs) are vital elements that regulate transcription and the spatio-temporal expression of genes, thereby ensuring the accurate development and functioning of an organism. (biomedcentral.com)
  • Our analysis reveals that the expression levels of most genes are generally preserved in B cell precursors isolated from aged compared with young mice. (biomedcentral.com)
  • An in silico analysis identified phylogenetically conserved NFI binding sites in at least 70 of the differentially regulated genes. (biomedcentral.com)
  • Cox proportional hazards models were used to adjust for study, demographic variables, educational status, and other cardiovascular risk factors. (asnjournals.org)
  • o If a study is being designed to reveal factor structure. (scribd.com)
  • Principal component analysis and clustering were used to explore any possible groupings of the level of function measured with the European progression stroke study scale. (bibsys.no)
  • 2005. Socio-Economic Factors Associated with the onset of Disability in Older Age: A Longitudinal Study of People Aged 75 Years and Over, Social Science and Medicine, Vol. 61, pp. 1567-1575. (uni-muenchen.de)
  • In a previous study, based entirely on the analysis of cultured cell lines, we proposed an additional role for ORC1 in cilia function. (nature.com)
  • Objectives The study examines trends in smoking among Irish adolescents aged 15-16 years between 1995 and 2015 and the factors associated with their smoking behaviours between 2007 and 2015. (bmj.com)
  • International study of factors affecting human chromosome translocations. (cdc.gov)
  • This study also makes it possible to provide design guideline for optimal dynamic damper system using CAE (computer aided engineering) analysis. (sae.org)
  • Ravi Kumar Bhaskar, Krishna Kumar Deo, Uttam Neupane, Subhadra Chaudhary Bhaskar, Birendra Kumar Yadav, Hanoon P. Pokharel, and Paras Kumar Pokharel 'A Case Control Study on Risk Factors Associated with Low Birth Weight Babies in Eastern Nepal' International Journal of Pediatrics. (sciencepublishinggroup.com)
  • A survey was conducted with 10644 elderly hypertensive patients living in Zhejiang province to study awareness, treatment and control of hypertension, and investigate the associated factors of uncontrolled hypertension. (biomedcentral.com)
  • The goal of this study was to analyze clinical, prognostic and therapeutic factors in a large series of histologically proven brainstem gliomas. (biomedcentral.com)
  • The goal of this study was therefore to analyze clinical, prognostic and therapeutic factors in the largest series of histological proven brainstem glioma reported so far. (biomedcentral.com)
  • Because there is scarce information on these topics in the geographical context in which the study was carried out, we performed a retrospective study in newborns between 2004 and 2007 that was aimed at assessing the association between neonates and maternal clinical and demographical factors, in addition to clinical course features and the risk for neonatal sepsis. (biomedcentral.com)
  • The objectives of this study were to determine the frequency of various HCV genotypes cross Libya and the demographic and attributable risk factors associated with HCV transmission among Libyan population. (biomedcentral.com)
  • This study attempts to determine the factors that influence farmers' decision to receive IPM. (omicsonline.org)
  • In our study, we try to determine the possible influencing factors for the adoption of IPM in the context of Bangladesh by fitting a binary logistic regression model. (omicsonline.org)
  • This study compared and analyzed the risk factors that affect a wound healing group and healing failure group. (bvsalud.org)
  • Tumor necrosis factor alpha (TNF-α) plays a key role in the containment of tuberculosis. (biomedcentral.com)
  • British Journal of Mathematical and Statistical Psychology, 59(2), 397-417. (stata.com)
  • An aptitude for mathematical analysis and SAS programming is beneficial, though not required. (indiana.edu)
  • Nonparametric Estimation of Standard Errors in Covariance Analysis Using the Infinitesimal Jackknife. (stata.com)
  • Lasso is a relatively new method and in particular developments towards statistical inference is still ongoing. (bibsys.no)
  • Journal of Statistical Planning and Inference , 136 (7 SPEC. (elsevier.com)
  • Taniguchi, M , Maeda, K & Puri, ML 2006, ' Statistical analysis of a class of factor time series models ', Journal of Statistical Planning and Inference , vol. 136, no. 7 SPEC. (elsevier.com)
  • Malaria still remains a public health problem in developing countries and changing environmental and climatic factors pose the biggest challenge in fighting against the scourge of malaria. (hindawi.com)
  • 2012). However, the research on the distribution, acclimatization, and winter hardiness of introduced plants in definite territories, as well as on the determining climatic factors, is insufficient. (thefreelibrary.com)
  • Also by Least Square Method of Regression Analysis, it was predicted that in the year 2014, the total number of male and female birth will be 140 and also in the year 2015, the total number of male and female birth will be 141. (sciencepublishinggroup.com)
  • This was a retrospective analysis of HIV-related hospitalizations at Tripoli Medical Centre in 2013. (who.int)
  • Previous studies have identified baseline factors that are associated with poor PFP prognosis, including longer duration of symptoms, greater pain severity, lower self-reported function, greater height, positive patella apprehension test and crepitation during physical examination. (bmj.com)
  • We propose the test statistic, and derive its symptotic null distribution. (elsevier.com)
  • The exposure levels were checked with 2-independent-samples test, and the potential personal factors influencing exposure levels were analyzed using nonlinear correlation. (cdc.gov)
  • This analysis methodology enables target performance achievement in early design stage and reduction of damper tuning activity after proto car test stage. (sae.org)
  • Also by Z-Test also, method of delivery proved to be a significant factor affecting birthweight with a calculated value 5.41 and a critical value 1.96. (sciencepublishinggroup.com)
  • Each chapter focuses on one particular type of analysis, for example, analysing how items in a test are performing or investigating the relationship between two variables. (ecampus.com)
  • In bivariate setup, association between selected factors and adoption status of IPM were investigated by performing a chi-square test. (omicsonline.org)
  • Significantly, we and others reported that impaired ORC1 function, either by knockdown (KD) or analysis of genetic variants observed in ORC1-deficient patients caused centrosome aberrations as well as structural and functional defects in primary cilia [ 19 , 20 ]. (nature.com)
  • Newly diagnosed T2DM Chinese patients with lower baseline HDL-c and higher HbA1c and SBP values are more likely to achieve improvement in beta cell function whereas baseline fasting blood glucose and waist circumference were the significant factors associated with improvement in insulin resistance with acarbose therapy. (springer.com)
  • Of the 395 studies identified initially, 13 studies were included into our analysis, with a total of 3354 patients. (plos.org)
  • There are currently no validated factors predictive of response to taxanes in patients with breast cancer. (aacrjournals.org)
  • Furthermore, Kaplan-Meier analysis revealed that MPM patients with high BBS1 expression had a median overall survival of 16.5 vs. 8.7 mo of those that had low expression. (physiology.org)
  • All patients were analyzed with respect to various risk factors for hospital-acquired pneumonia. (scielo.br)
  • Various factors predispose the patient to the risk of hospital-acquired pneumonia, and early detection of such factors may alter the focus given to the care of these patients, particularly those at greater risk of developing pneumonia. (scielo.br)
  • To reduce the additional complications in single toe amputation patients , the underlying disease and appropriate treatment are the most important factors. (bvsalud.org)
  • Conflicting evidence exists among community-based studies as to whether CKD is an independent risk factor for adverse cardiovascular outcomes. (asnjournals.org)
  • have emerged as potentially modifiable risk factors that may contribute the observed disparities in cancer outcomes in US adults. (springermedizin.de)
  • Multilevel analyses examined the association of maternal behaviour (smoking, using formula milk, and leaving the child in a daytime nursery) and birth outcomes (weight, parity, and gestational age) with standardized BMI trajectories (z-score analysis). (scirp.org)
  • Fitting procedures are used to estimate the factor loadings and unique variances of the model (Factor loadings are the regression coefficients between items and factors and measure the influence of a common factor on a measured variable). (wikipedia.org)
  • Statistical modeling was used to estimate the relative importance of heritable and environmental factors in causing cancer at 11 of those sites. (nih.gov)
  • All studied growth factors were present in tumor tissue. (jcancer.org)
  • Conclusion: We showed two factors that influence pancreatic cancer progression and invasion: c-Met receptors and macrophages infiltrating tumor tissue. (jcancer.org)
  • Infiltrating inflammatory cells are a rich source of factors influencing tumor growth, invasion and metastases. (jcancer.org)
  • Statistical analysis of multi-b factor diffusion weighted images can help distinguish between vasogenic and tumor-infiltrated edema. (unil.ch)
  • and sequence-specific DNA binding, which is executed primarily by transcription factors (TFs). (biomedcentral.com)
  • To this end, we predicted protein subcellular locations and correlated the resulting extracellular secretome with the transcription factors that modulate the cellular response to a particular environmental stimulus. (biomedcentral.com)
  • A public database of K. lactis secreted proteins and their transcription factors are presented. (biomedcentral.com)
  • It consists of 109 ORFs and 23 transcription factors. (biomedcentral.com)
  • Most of the transcription factors are related to responses to stress such as drug, acid and heat resistance, as well as nitrogen limitation, and may be useful for inducing maximal expression of potential extracellular proteins. (biomedcentral.com)
  • The pattern showed increased activity of ETS domain-containing protein Elk-1 and signal transducers and activators of transcription 3 transcription factors, which are associated with the growth of side population cells. (aacrjournals.org)
  • Nuclear factor I-A (NFI-A), a phylogenetically conserved transcription/replication protein, plays a crucial role in mouse brain development. (biomedcentral.com)
  • Diabetes is also a risk factor for dementia, but whether the association is similar in women and men remains unknown. (diabetesjournals.org)
  • Living in the Gaza Strip was a protective factor, with this group being 21% less likely to have diabetes, 35% less likely to have hypertension, and 48% less likely to have CVD than those living in the West Bank. (who.int)
  • Being a refugee was a significant risk factor for diabetes and CVD while being married/engaged or divorced/separated/widowed was a risk factor for diabetes and hypertension. (who.int)
  • HIV positivity was a risk factor for AGWs among both men and women. (springer.com)
  • Gender was a risk factor for hypertension with females being 60% more likely to have hypertension than males. (who.int)
  • Since high serum cholesterol levels have been clearly shown to be a leading risk factor for human disease, more and more studies have focused on examining the effects of cholesterol on human health. (pubmedcentralcanada.ca)
  • Ionizing radiation is a well documented risk factor for thyroid cancer [ 2 ]. (hindawi.com)
  • Observational evidence provided multiple clinical and anatomic risk factors for aneurysm growth, including age older than 50 years, female sex, smoking history, and nonsaccular shape. (ajnr.org)
  • This research work studied statistically those factors which determine the weight of a baby at birth. (sciencepublishinggroup.com)
  • Important statistical concepts such as confidence intervals are also introduced. (sas.com)