Peptidoglycan-hydrolyzing activity of the FlgJ protein, essential for flagellar rod formation in Salmonella typhimurium. (1/2631)

Because the rod structure of the flagellar basal body crosses the inner membrane, the periplasmic space, and the outer membrane, its formation must involve hydrolysis of the peptidoglycan layer. So far, more than 10 genes have been shown to be required for rod formation in Salmonella typhimurium. Some of them encode the component proteins of the rod structure, and most of the remaining genes are believed to encode proteins involved in the export process of the component proteins. Although FlgJ has also been known to be involved in rod formation, its exact role has not been understood. Recently, it was suggested that the C-terminal half of the FlgJ protein has homology to the active center of some muramidase enzymes from gram-positive bacteria. In this study, we showed that the purified FlgJ protein from S. typhimurium has a peptidoglycan-hydrolyzing activity and that this activity is localized in its C-terminal half. Through oligonucleotide-directed mutagenesis, we constructed flgJ mutants with amino acid substitutions in the putative active center of the muramidase. The resulting mutants produced FlgJ proteins with reduced enzymatic activity and showed poor motility. These results indicate that the muramidase activity of FlgJ is essential for flagellar formation. Immunoblotting analysis with the fractionated cell extracts revealed that FlgJ is exported to the periplasmic space, where the peptidoglycan layer is localized. On the basis of these results, we conclude that FlgJ is the flagellum-specific muramidase which hydrolyzes the peptidoglycan layer to assemble the rod structure in the periplasmic space.  (+info)

Formation of membrane lattice structures and their specific interactions with surfactant protein A. (2/2631)

Biological membranes exist in many forms, one of which is known as tubular myelin (TM). This pulmonary surfactant membranous structure contains elongated tubes that form square lattices. To understand the interaction of surfactant protein (SP) A and various lipids commonly found in TM, we undertook a series of transmission-electron-microscopic studies using purified SP-A and lipid vesicles made in vitro and also native surfactant from bovine lung. Specimens from in vitro experiments were negatively stained with 2% uranyl acetate, whereas fixed native surfactant was delipidated, embedded, and sectioned. We found that dipalmitoylphosphatidylcholine-egg phosphatidylcholine (1:1 wt/wt) bilayers formed corrugations, folds, and predominantly 47-nm-square latticelike structures. SP-A specifically interacted with these lipid bilayers and folds. We visualized other proteolipid structures that could act as intermediates for reorganizing lipids and SP-As. Such a reorganization could lead to the localization of SP-A in the lattice corners and could explain, in part, the formation of TM-like structures in vivo.  (+info)

Location of translational initiation factor IF3 on the small ribosomal subunit. (3/2631)

The location of translational initiation factor IF3 bound to the 30S subunit of the Thermus thermophilus ribosome has been determined by cryoelectron microscopy. Both the 30S.IF3 complex and control 30S subunit structures were determined to 27-A resolution. The difference map calculated from the two reconstructions reveals three prominent lobes of positive density. The previously solved crystal structure of IF3 fits very well into two of these lobes, whereas the third lobe probably arises from conformational changes induced in the 30S subunit as a result of IF3 binding. Our placement of IF3 on the 30S subunit allows an understanding in structural terms of the biochemical functions of this initiation factor, namely its ability to dissociate 70S ribosomes into 30S and 50S subunits and the preferential selection of initiator tRNA by IF3 during initiation.  (+info)

The C-terminal sequence of the lambda holin constitutes a cytoplasmic regulatory domain. (4/2631)

The C-terminal domains of holins are highly hydrophilic and contain clusters of consecutive basic and acidic residues, with the overall net charge predicted to be positive. The C-terminal domain of lambda S was found to be cytoplasmic, as defined by protease accessibility in spheroplasts and inverted membrane vesicles. C-terminal nonsense mutations were constructed in S and found to be lysis proficient, as long as at least one basic residue is retained at the C terminus. In general, the normal intrinsic scheduling of S function is deranged, resulting in early lysis. However, the capacity of each truncated lytic allele for inhibition by the S107 inhibitor product of S is retained. The K97am allele, when incorporated into the phage context, confers a plaque-forming defect because its early lysis significantly reduces the burst size. Finally, a C-terminal frameshift mutation was isolated as a suppressor of the even more severe early lysis defect of the mutant SA52G, which causes lysis at or before the time when the first phage particle is assembled in the cell. This mutation scrambles the C-terminal sequence of S, resulting in a predicted net charge increase of +4, and retards lysis by about 30 min, thus permitting a viable quantity of progeny to accumulate. Thus, the C-terminal domain is not involved in the formation of the lethal membrane lesion nor in the "dual-start" regulation conserved in lambdoid holins. Instead, the C-terminal sequence defines a cytoplasmic regulatory domain which affects the timing of lysis. Comparison of the C-terminal sequences of within holin families suggests that these domains have little or no structure but act as reservoirs of charged residues that interact with the membrane to effect proper lysis timing.  (+info)

Three-dimensional microscopy of the Rad51 recombination protein during meiotic prophase. (5/2631)

An open question in meiosis is whether the Rad51 recombination protein functions solely in meiotic recombination or whether it is also involved in the chromosome homology search. To address this question, we have performed three-dimensional high-resolution immunofluorescence microscopy to visualize native Rad51 structures in maize male meiocytes. Maize has two closely related RAD51 genes that are expressed at low levels in differentiated tissues and at higher levels in mitotic and meiotic tissues. Cells and nuclei were specially fixed and embedded in polyacrylamide to maintain both native chromosome structure and the three dimensionality of the specimens. Analysis of Rad51 in maize meiocytes revealed that when chromosomes condense during leptotene, Rad51 is diffuse within the nucleus. Rad51 foci form on the chromosomes at the beginning of zygotene and rise to approximately 500 per nucleus by mid-zygotene when chromosomes are pairing and synapsing. During chromosome pairing, we consistently found two contiguous Rad51 foci on paired chromosomes. These paired foci may identify the sites where DNA sequence homology is being compared. During pachytene, the number of Rad51 foci drops to seven to 22 per nucleus. This higher number corresponds approximately to the number of chiasmata in maize meiosis. These observations are consistent with a role for Rad51 in the homology search phase of chromosome pairing in addition to its known role in meiotic recombination.  (+info)

Spc29p is a component of the Spc110p subcomplex and is essential for spindle pole body duplication. (6/2631)

In yeast, microtubules are organized by the spindle pole body (SPB). The SPB is a disk-like multilayered structure that is embedded in the nuclear envelope via its central plaque, whereas the outer and inner plaques are exposed to the cytoplasm and nucleoplasm, respectively. How the SPB assembles is poorly understood. We show that the inner/central plaque is composed of a stable SPB subcomplex, containing the gamma-tubulin complex-binding protein Spc110p, calmodulin, Spc42p, and Spc29p. Spc29p acts as a linker between the central plaque component Spc42p and the inner plaque protein Spc110p. Evidence is provided that the calmodulin-binding site of Spc110p influences the binding of Spc29p to Spc110p. Spc42p also was identified as a component of a cytoplasmic SPB subcomplex containing Spc94p/Nud1p, Cnm67p, and Spc42p. Spc29p and Spc42p may be part of a critical interface of nucleoplasmic and cytoplasmic assembled SPB subcomplexes that form during SPB duplication. In agreement with this, overexpressed Spc29p was found to be a nuclear protein, whereas Spc42p is cytoplasmic. In addition, an essential function of SPC29 during SPB assembly is indicated by the SPB duplication defect of conditional lethal spc29(ts) cells and by the genetic interaction of SPC29 with CDC31 and KAR1, two genes that are involved in SPB duplication.  (+info)

3-Dimensional configuration of perimysial collagen fibres in rat cardiac muscle at resting and extended sarcomere lengths. (7/2631)

1. We have used fluorescence confocal laser scanning microscopy to attain the three-dimensional (3-D) microstructure of perimysial collagen fibres over the range of sarcomere lengths (1.9-2.3 micrometers) in which passive force of cardiac muscle increases steeply. 2. A uniaxial muscle preparation (right ventricular trabecula of rat) was used so that the 3-D collagen configuration could be readily related to sarcomere length. Transmission electron microscopy showed that these preparations were structurally homologous to ventricular wall muscle. 3. Trabeculae were mounted on the stage of an inverted microscope and fixed at various sarcomere lengths. After a trabecula was stained with the fluorophore Sirius Red F3BA and embedded in resin, sequential optical sectioning enabled 3-D reconstruction of its perimysial collagen fibres. The area fraction of these fibres, determined from the cross-sections of seven trabeculae, was 10.5 +/- 3.9 % (means +/- s.d.). 4. The reconstructed 3-D images show that perimysial collagen fibres are wavy (as distinct from coiled) cords which straighten considerably as the sarcomere length is increased from 1.85 +/- 0.06 micrometer (near-resting length) to 2.3 +/- 0.04 micrometer (means +/- s.d., n = 4). These observations are consistent with the notion that the straightening of these fibres is responsible for limiting extension of the cardiac sarcomere to a length of approximately 2.3 micrometers.  (+info)

Two structural transitions in membrane pore formation by pneumolysin, the pore-forming toxin of Streptococcus pneumoniae. (8/2631)

The human pathogen Streptococcus pneumoniae produces soluble pneumolysin monomers that bind host cell membranes to form ring-shaped, oligomeric pores. We have determined three-dimensional structures of a helical oligomer of pneumolysin and of a membrane-bound ring form by cryo-electron microscopy. Fitting the four domains from the crystal structure of the closely related perfringolysin reveals major domain rotations during pore assembly. Oligomerization results in the expulsion of domain 3 from its original position in the monomer. However, domain 3 reassociates with the other domains in the membrane pore form. The base of domain 4 contacts the bilayer, possibly along with an extension of domain 3. These results reveal a two-stage mechanism for pore formation by the cholesterol-binding toxins.  (+info)

... may refer to: Structural model of the psyche, a Freudian model of psychology Structural equation modeling, ... see under Merton model. This disambiguation page lists articles associated with the title Structural model. If an internal link ... statistical and computer algorithm models that fit constructs to data Structural model (software), a diagram that the describes ... the static structure of a computer program Marginal structural model, a class of statistical models used in epidemiology An ...
Random intercepts models[citation needed] Structural Equation Model Trees[citation needed] Structural equation modeling ... Graphical models, Latent variable models, Regression models, Structural equation models). ... Structural equation modeling page under David Garson's StatNotes, NCSU Issues and Opinion on Structural Equation Modeling, SEM ... Structural Equation Modeling Reference List by Jason Newsom: journal articles and book chapters on structural equation models ...
Marginal structural models are a class of statistical models used for causal inference in epidemiology. Such models handle the ... Hernán, Miguel Ángel; Brumback, Babette; Robins, James M. (2000). "Marginal Structural Models to Estimate the Causal Effect of ... Robins, James; Hernán, Miguel; Brumback, Babette (September 2000). "Marginal Structural Models and Causal Inference in ... Shinozaki, Tomohiro; Suzuki, Etsuji (September 5, 2020). "Understanding Marginal Structural Models for Time-Varying Exposures: ...
Structural Equation Modeling is a peer-reviewed scientific journal publishing methodological and applied papers on structural ... equation modeling, a blend of multivariate statistical methods from factor analysis to systems of regression equations, with ...
In the world of finance, a structural moving average model (SMAM) is used to calculate account balances dynamically, but with a ...
Structural changes and model stability in panel data are of general concern in empirical economics and finance research. Model ... For a cointegration model, the Gregory-Hansen test (1996) can be used for one unknown structural break, the Hatemi-J test (2006 ... In econometrics and statistics, a structural break is an unexpected change over time in the parameters of regression models, ... Greene, William (2012). "Section 6.4: Modeling and testing for a structural break". Econometric Analysis (7th ed.). Pearson ...
". "Orthotropic panel vs shell vs beam models". 21 October 2020. https://shellbuckling.com/papers/stags/stagsbrochure.pdf[bare ... Structural material - Structural mechanics - Structural pipe fitting - Structural robustness - Structural steel - Structural ... Structural analysis - Structural channel - Structural engineer - Structural engineering - Structural engineering software - ... Structural health monitoring - Structural insulated panel - Structural integrity and failure - Structural loads - or actions, ...
A more sophisticated approach of modeling structural safety is to rely on structural reliability, in which both loads and ... A structural engineer must understand the internal and external forces of a structural system consisting of structural elements ... Structural analysis Structural engineering software Melchers, R. E. (2002), "Structural Reliability Analysis and Prediction," ... Structural Modeling and Analysis. Cambridge University Press. p. 98. ISBN 0-521-49536-9. Heyman, Jacques (1998). Structural ...
... modelling material and structural behaviour; assessing numerical values of the reliability format. Annex A2 of EN 1990 gives ... Basis of structural design EN 1990 - Eurocode: Basis of structural design - "Eurocodes: Background and applications" workshop v ... Eurocode 0 is intended to be used in conjunction with EN 1991 to EN 1999 for the structural design of buildings and civil ... In the Eurocode series of European standards (EN) related to construction, Eurocode: Basis of structural design (informally ...
... also known as Demographic Structural Theory) uses mathematical modeling to explain and predict outbreaks of political ... The structural-demographic theory emerged from his attempts to apply the insights of political demography to the study of ... contribution to the SDT has been made by Andrey Korotayev and his colleagues who developed their structural-demographic model ... 2011). "A Trap At The Escape From The Trap? Demographic-Structural Factors of Political Instability in Modern Africa and West ...
... or tolerance of imperfection in structural data or ab initio structural models. An alternative methodology that is gaining ... Indeed, evaluating such predictions often requires a structural alignment between the model and the true known structure to ... Structural alignments are especially useful in analyzing data from structural genomics and proteomics efforts, and they can be ... Properties of some structural alignment servers and software packages are summarized and tested with examples at Structural ...
In structural bioinformatics, de novo modeling, also known as ab initio modeling, refers to approaches for obtaining three- ... The term structural has the same meaning as in structural biology, and structural bioinformatics can be seen as a part of ... Correlating Structural information with functional information - Structural studies can be used as probe for structural- ... The structure prediction methods are classified into comparative modeling and de novo modeling. Comparative modeling, also ...
"KTH , Holistic Quantitative Threat Modeling & Attack Simulation , Robert Lagerström". www.kth.se. Retrieved 15 November 2017. ( ... In computing, a structural vulnerability is an IT system weakness that consists of several so-called component vulnerabilities ... An example of a structural vulnerability is a person working in a critical part of the system with no security training, who ...
Introduction Model Notation, Covariances, and Path Analysis Causality and Causal Models Structural Equation Models, with ... It is commonly used in graduate-level courses that focus on structural equation modeling within the social sciences. Structural ... Latent Variable and Measurement Models Combined The General Model, Part II: Extensions Kenneth Bollen's new book, Structural ... Bollen's text, Structural Equations with Latent Variables, represents an authoritative account of covariance structure modeling ...
ISBN 978-1-84821-415-6. Nowak, Andrzej S. (December 1993). "Live load model for highway bridges". Structural Safety. 13 (1-2): ... Taheri, A.; OBrien, E. J.; Collop, A. C. (August 2012). "Pavement damage model incorporating vehicle dynamics and a 3D pavement ... O'Connor, Alan; O'Brien, Eugene J (February 2005). "Traffic load modelling and factors influencing the accuracy of predicted ... OBrien, Eugene J.; Leahy, Cathal; Enright, Bernard; Caprani, Colin C. (30 September 2016). "Validation of scenario modelling ...
... peptide modeling; structural biology; cheminformatics and QSAR. Molecular modeling and simulations is a process often used in ... structural biology and bioinformatics, protein and antibody modeling, molecular modeling and simulations, virtual screening, ... DNA/RNA modeling; virtual screening; 3D pharmacophore screening; fragment-based discovery; structural bioinformatics; molecular ... Molecular modeling, molecular docking, and MD simulations are some of many computation studies that takes places during drug ...
W2 models are found effective for low order methods Typical W2 models are the smoothed point interpolation methods (or S-PIM). ... Structural acoustics; Nonlinear and contact problems; Stochastic analysis; Adaptive Analysis; Phase change problem; Crystal ... W2 models can be built free from volumetric locking, and possibly free from other types of locking phenomena. W2 models provide ... It may be possible to construct linear models with energy convergence rate of 2. W2 models are often found less sensitive to ...
Structural and dynamic probes of the active site". Biochemistry. 13 (5): 910-914. doi:10.1021/bi00702a013. PMID 4360355. van ... ". "Modeling of ABE Fermentation" (PDF). Archived from the original (PDF) on 2014-08-08. Retrieved 2014-05-27. Collas, Florent ... Although a crystal structure was not yet solved to provide structural evidence, this proposal was widely accepted and cited as ... Bormon, S (2009). "New Structure Revisits History". Structural Biology. 87 (21): 9. "Britannica Online". "Jewish Virtual ...
Structural Engineers; Sustainability and Energy Consultants; Water Engineers (including hydraulic modelling). Birmingham; ... Structural engineering, Sustainability and energy and Water engineering. The company was founded in 1866 as an engineering and ...
Structural acoustics; Adaptive analysis; Limited analysis; Crystal plasticity modeling. Finite element method Meshfree methods ... Together with stiff models (such as the fully compatible FEM models), one can conveniently bound the solution from both sides. ... Typical W2 models are the Smoothed Point Interpolation Methods (or S-PIM). The S-PIM can be node-based (known as NS-PIM or LC- ... In addition, W2 models can be made soft enough (in uniform fashion) to produce upper bound solutions (for force-driving ...
These are competition, structural levels, and time/process frames. The classic version of the Competition Model describes and ... Mental Models: The classic model fails to include a role for mental model construction during comprehension and formulation ... However, the model is limited in several important ways. · Brain Structure: The classic model makes no contact with what we now ... The Competition Model was initially proposed as a theory of cross-linguistic sentence processing. The model suggests that ...
Bolshoy, Alexander (2010). Genome Clustering: From Linguistic Models to Classification of Genetic Texts. Springer. p. 47. ISBN ... In addition to secondary structural elements, protein structural motifs often include loops of variable length and unspecified ... Protein Alignments as Structural Superfamilies SMoS SMoS - Database of Structural Motifs of Superfamily S4 S4: Server for Super ... a structural motif describes the connectivity between secondary structural elements. An individual motif usually consists of ...
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The cross-lagged panel model is a type of discrete time structural equation model used to analyze panel data in which two or ... This model aims to estimate the directional effects that one variable has on another at different points in time. This model ... Structural Equation Modeling. 25 (5): 809-823. doi:10.1080/10705511.2018.1431046. ISSN 1070-5511. "Cross-Lagged Panel Analysis ... Structural equation models, All stub articles, Statistics stubs). ...
Multi-level modeling; Survival-Failure analysis; Structural Equations Modeling; hierarchical linear modelling, etc. are very ... The Item Response Theory has three models. They are one parameter logistic model, two parameter logistic model and three ... 1989). Structural Equations with Latent Variables. New York: John Wiley & Sons. Loehlin, J. E. (1992). Latent Variable Models: ... Loehlin, J. E. (1992). Latent Variable Models: An Introduction to Factor, Path, and Structural Analysis (2nd ed.). Hillsdale, ...
If the composites are embedded in a structural model, also the structural model needs to be identified. Finally, since the ... It shares with CFA the process of model specification, model identification, model estimation, and model assessment. However, ... In addition, the composites can be related via a structural model which constrains the correlation matrix R {\displaystyle \ ... Besides the originally proposed CCA, the evaluation steps known from partial least squares structural equation modeling (PLS- ...
Ideally the continuous interaction method is modeled within a structural equation model to filter out individual differences ... Structural Equation Modeling. 28 (3): 440-462. doi:10.1080/10705511.2020.1838905. ISSN 1070-5511. S2CID 229412761. (CS1 maint: ... Several methods have been used to statistically model the relation between Type D personality and an outcome measure. A crude ... Lodder, Paul (2020-05-01). "Modeling synergy: How to assess a Type D personality effect". Journal of Psychosomatic Research. ...
... and model specification on goodness-of-fit assessments in structural equation models". Journal of Applied Psychology. 74 (4): ... Tanaka, J. S. (February 1987). ""How big is big enough?": sample size and goodness of fit in structural equation models with ... Tanaka, J. S. (February 1987). ""How big is big enough?": sample size and goodness of fit in structural equation models with ... In statistics, his research interests included structural equation modeling, factor analysis and categorical data analysis. On ...
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Random intercepts models[citation needed] Structural Equation Model Trees[citation needed] Structural equation modeling ... Graphical models, Latent variable models, Regression models, Structural equation models). ... Structural equation modeling page under David Garsons StatNotes, NCSU Issues and Opinion on Structural Equation Modeling, SEM ... Structural Equation Modeling Reference List by Jason Newsom: journal articles and book chapters on structural equation models ...
... and nonnormed fit indexes are frequently used as adjuncts to chi-square statistics for evaluating the fit of a structural model ... Comparative fit indexes in structural models Psychol Bull. 1990 Mar;107(2):238-46. doi: 10.1037/0033-2909.107.2.238. ... and nonnormed fit indexes are frequently used as adjuncts to chi-square statistics for evaluating the fit of a structural model ... A new coefficient is proposed to summarize the relative reduction in the noncentrality parameters of two nested models. Two ...
... accurate structural models are needed. However, at the frequencies of relevance to the vibro-acoustic problem, the mode shapes ... Citation: Van der Auweraer, H., Dierckx, B., Haberstok, C., Freymann, R. et al., "Structural Modelling of Car Panels Using ... In order to optimise the vibro-acoustic behaviour of panel-like structures in a more systematic way, accurate structural models ... Structural Modelling of Car Panels Using Holographic Modal Analysis 1999-01-1849. ...
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As a result the model selection methodology associated with structural models is much closer to econometric methodology. The ... Unlike the traditional ARIMA models, structural time series models consist explicitly of unobserved components, such as trends ... state space models and the Kalman filter play a key role in the statistical treatment of structural time series models. The ... This book is concerned primarily with modelling economic and social time series, and with addressing the special problems which ...
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Modeling and Analysis of Dimensions of Agile Hospital Supply Chain Management with Interpretive-Structural Approach (Case Study ... Interpretive Structural Modeling of Effective Factors on Organizational Friction in Education of Golestan Province ... Clinical instructors recruitment callenges: Interpretive Structural Modeling approach Akram Sadeghian, Shahram Tofighi, Nikoo ... Prioritize the Dimensions of Agile Hospital Supply Chain with Combination of Interpretive Structural Modeling and Analytic ...
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In this review, we summarize a classic injury model, lesioning of the perforant path, which removes the main extrahippocampal ... providing one of the first examples of structural plasticity in the adult brain. Given the increasing role of adult-generated ... providing one of the first examples of structural plasticity in the adult brain. Given the increasing role of adult-generated ... In this review, we summarize a classic injury model, lesioning of the perforant path, which removes the main extrahippocampal ...
Compared to other techniques commonly employed in the field such as multiple regression, path models are highly flexible and ... In addition to increased methodological versatility, this technique encourages big-picture, model-based reasoning, thus ... in particular measured variable path models, and discuss their great potential for corpus linguists. ... The present article aims to introduce structural equation modeling, ...
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Validating the Affect Modulation Ability Questionnaire (AMAQ) Using Exploratory Structural Equation Modeling ... Using Exploratory Structural Equation Modeling" Association for Psychological Science Annual Conference (2019) Available at: ...
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... examines the interaction of monetary and fiscal policies using an estimated New Keynesian dynamic general equilibrium model for ... Fiscal and Monetary Policy Interactions: Empirical Evidence and Optimal Policy Using a Structural New Keynesian Model. CESifo ... and on the assumptions made about the underlying structural model. We also demonstrate that countercyclical fiscal policy can ... Empirical Evidence and Optimal Policy Using a Structural New Keynesian Model (October 2003). CESifo Working Paper Series No. ...
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... a structural equation modelling assessment - Author: Jihad Mohammad, Farzana Quoquab, Fazli Idris, Mohammad Al Jabari, Raed ... The mediating role of overall fairness perception: a structural equation modelling assessment. Jihad Mohammad (Azman Hashim ... a structural equation modelling assessment", Employee Relations, Vol. 41 No. 3, pp. 614-636. https://doi.org/10.1108/ER-10-2017 ...
CRYSTAL STRUCTURE AND MOLECULAR MODELING STUDIES ON THE PNEUMOCYSTIS CARINII DIHYDROFOLATE REDUCTASE COFACTOR COMPLEX WITH TAB ... STRUCTURAL STUDIES ON BIO-ACTIVE COMPOUNDS. CRYSTAL STRUCTURE AND MOLECULAR MODELING STUDIES ON THE PNEUMOCYSTIS CARINII ... Structural studies on bioactive compounds. 30. Crystal structure and molecular modeling studies on the Pneumocystis carinii ... However, two MD models place the acetyloxy and benzyl ring groups in a region of the active site between the cofactor-binding ...
Structural equation modelling stratified by gender was used to assess the research objective in a sample of 546 participants ... In both models stratified by gender, perceptions of barriers did not significantly mediate the relationship between urbanicity ... Structural equation modelling stratified by gender was used to assess the research objective in a sample of 546 participants ... Using a Structural Equation Modelling Approach to Examine a Cross-Sectional Dataset. Children 2018, 5, 159. ...
  • The boundary between what is and is not a structural equation model is not always clear but SE models often contain postulated causal connections among a set of latent variables (variables thought to exist but which can't be directly observed, like an attitude, intelligence or mental illness) and causal connections linking the postulated latent variables to variables that can be observed and whose values are available in some data set. (wikipedia.org)
  • Article: Risk(ing) sophistication: towards a structural equation model for risk management in small and medium-sized enterprises Journal: International Journal of Entrepreneurship and Small Business (IJESB) 2021 Vol.44 No.4 pp.386 - 412 Abstract: The purpose of this paper is to highlight critical success factors for establishing sound and effective risk management in small and medium-sized enterprises (SMEs). (inderscience.com)
  • Based on a survey among 270 SMEs, we apply a structural equation model (SEM). (inderscience.com)
  • A public-choice model in the form of a two-equation model of advertising legislation and cigarette demand. (who.int)
  • A Structural Equation Model. (bvsalud.org)
  • Exploring Gender Differences in Adolescent Dissociative Symptoms via A Structural Equation Model. (bvsalud.org)
  • The 'traditional' approach to SEM, based upon continuous observed variables and assuming continuous latent variables, is expanded to encompass models for categorical observed variables. (manchester.ac.uk)
  • It agreed that the current funding model may lead to siloed technical work, and that integrated work can be improved, while noting that elements of WHO transformation are indeed about moving away from a siloed approach. (who.int)
  • Cross plots, stereonet plots, rose diagrams and object property tables can then be used to thoroughly investigate and analyse the model and construction process. (mve.com)
  • The main objective of this course is to learn how to analyse several models with Mplus (e.g., path models, multiple group models, mediation and moderation, confirmatory factor analysis , and longitudinal models). (utrechtsummerschool.nl)
  • Structural equation modelling was used to analyse the two models. (lu.se)
  • Many researchers in the social and behavioral sciences are using, or want to use, Structural Equation Modelling (SEM) to investigate their theories. (utrechtsummerschool.nl)
  • Structural Equation Models in the Social and Behavioral Sciences: Model Building. (aaem.pl)
  • Structural equation modeling (SEM) began differentiating itself from correlation and regression when Sewall Wright provided explicit causal interpretations for a set of regression-style equations based on a solid understanding of the physical and physiological mechanisms producing direct and indirect effects among his observed variables. (wikipedia.org)
  • Compared to other techniques commonly employed in the field such as multiple regression, path models are highly flexible and enable testing a priori hypotheses about causal relations between multiple independent and dependent variables. (degruyter.com)
  • Section 2 offers a conceptual overview of benefits of measured variable path models compared to multiple regression. (degruyter.com)
  • The course starts with an introduction on how to use Mplus to perform regression analysis and how to 'communicate' with Mplus (e.g., how to specify a model, and how to deal with error messages). (utrechtsummerschool.nl)
  • This SEM model generalizes the linear models that have been studied previously for instance in the setting of casual inference or anchor regression but the concentration in measure result and the moment bounds are new even in the linear setting. (arxiv.org)
  • The author compares results obtained with four methods: covariance-based SEM with full information maximum likelihood (FIML), factor-based SEM with common factor model assumptions (FSEM1), factor-based SEM building on the PLS Regression algorithm (FSEM2), and PLS-SEM employing the Mode A algorithm (PLSA). (igi-global.com)
  • This course unit introduces students to structural equation modelling (SEM), a family of models that encompasses regression, path/mediation analysis, factor analysis, and more. (manchester.ac.uk)
  • The R software package, for fitting linear and logistic regression models. (manchester.ac.uk)
  • Understand the nature of structural equation modelling and its relationship to other statistical methods, specifically regression, path, and latent variable models. (manchester.ac.uk)
  • Four linear regression models (LRMs) and two SEMs were run to estimate the effect of prenatal exposure to inorganic arsenic on cortisol concentration in infants. (aaem.pl)
  • The adoption of advertising bans is modeled as a Poisson count regression, and fitted values for the number of banned media are used as instruments in the demand equation. (who.int)
  • Structural equation modeling (SEM) is a diverse set of methods used by scientists doing both observational and experimental research. (wikipedia.org)
  • Criticisms of SEM methods hint at: disregard of available model tests, problems in the model's specification, a tendency to accept models without considering external validity, and potential philosophical biases. (wikipedia.org)
  • Growth models are among the core methods for analyzing how and when people change. (guilford.com)
  • Structural Equation Modeling with Factors and Composites: A Comparison of Four Methods," International Journal of e-Collaboration (IJeC) 13, no.1: 1-9. (igi-global.com)
  • Recent methodological developments building on partial least squares (PLS) techniques and related ideas have significantly contributed to bridging the gap between factor-based and composite-based structural equation modeling (SEM) methods. (igi-global.com)
  • Structural Integrity and Durability of Advanced Composites: Innovative Modelling Methods and Intelligent Design presents scientific and technological research from leading composite materials scientists and engineers that showcase the fundamental issues and practical problems that affect the development and exploitation of large composite structures. (skillsoft.com)
  • In epidemiology, generalized linear models are the main statistical methods used to explore associations. (aaem.pl)
  • However, the use of other methods such as Structural Equation Modelling (SEM) is gradually increasing. (aaem.pl)
  • Variations among the styles of latent causal connections, variations among the observed variables measuring the latent variables, and variations in the statistical estimation strategies result in the SEM toolkit including confirmatory factor analysis, confirmatory composite analysis, path analysis, multi-group modeling, longitudinal modeling, partial least squares path modeling, latent growth modeling and hierarchical or multilevel modeling. (wikipedia.org)
  • In the following days, basic models relevant for social scientists will be discussed, including multiple group models, confirmatory factor analysis, and cross-lagged panel models, and important topics such as moderation, mediation and testing for measurement invariance are covered. (utrechtsummerschool.nl)
  • Using data from police officers that are middle management (n=136), the authors performed confirmatory factor analysis via structural equation modeling to validate that the four factors are actually capturing job satisfaction. (ojp.gov)
  • To introduce students to the lavaan library in R, which we will use to specify and fit a range of structural equation and latent variable models, including: confirmatory factor analysis, item-response theory models, mediation/path analysis, latent growth models. (manchester.ac.uk)
  • Discussing both structural equation and multilevel modeling approaches, this book leads readers step by step through applying each model to longitudinal data to answer particular research questions. (guilford.com)
  • A good follow-up is our Summer School course ' Advanced longitudinal modeling in Mplus ' (S23), where participants learn using SEM to analyze longitudinal data. (utrechtsummerschool.nl)
  • Do scale applying approaches need to be the same for longitudinal invariance testing and the subsequent growth curve model? (stackexchange.com)
  • To assess the association between park access and HBP, we built multilevel logistic models to account for variation in HBP by zip code. (cdc.gov)
  • We investigate this issue by using a structural model based on the New Keynesian framework that is augmented by a stock market variable. (uni-muenchen.de)
  • In this work, we employ a two-dimensional lattice-based kinetic Monte Carlo model to investigate how growth processes impact the structural properties of model gels. (strath.ac.uk)
  • This U.S. Bureau of Mines paper presents results of stress analyses to investigate the effects of elevated trench drifts on the structural stability of rock mass zones surrounding a production draw drift utilizing a mechanized load-haul-dump (lhd) trench undercut panel caving system. (cdc.gov)
  • In 1987 Hayduk provided the first book-length introduction to structural equation modeling with latent variables, and this was soon followed by Bollen's popular text (1989). (wikipedia.org)
  • An introduction to structural equation modelling. (utrechtsummerschool.nl)
  • We consider rather general structural equation models (SEMs) between a target and its covariates in several shifted environments. (arxiv.org)
  • Identify the contexts when different structural equation models are appropriate. (manchester.ac.uk)
  • Cross-linking mass spectrometry and compensatory mutagenesis data combined with molecular docking simulations suggest a structural model in which one Rev monomer binds to the C-terminal half of Impβ with Rev helix α2 roughly parallel to the HEAT-repeat superhelical axis, whereas the other monomer binds to the N-terminal half. (nih.gov)
  • Small-angle scattering is becoming a mainstream technique for structural molecular biology. (iucr.org)
  • These results confirm prior molecular modeling investigations of the binding of TAB to pcDHFR that identified four low-energy binding geometries, two involving rotations about the terminal N(2)-N(3) triazenyl linkage and two involving atropisomerism about the pivotal pyrimethamine-phenyl bond. (rcsb.org)
  • The primary differences in the molecular dynamics (MD) models and those observed in this crystal complex result from small conformational changes in active-site residues on energy minimization. (rcsb.org)
  • Molecular modeling of the Jak3 kinase domains and structural basis for severe combined immunodeficiency. (medlineplus.gov)
  • In addition to increased methodological versatility, this technique encourages big-picture, model-based reasoning, thus allowing corpus linguists to move away from the, at times, somewhat overly simplified mindset brought about by the more narrow null-hypothesis significance testing paradigm. (degruyter.com)
  • Be able to translate conceptual theory/hypothesis into appropriate latent variable and structural equation models. (manchester.ac.uk)
  • Clustering vs EFA which is a good tool for structural equation modeling to identify the influenced variables also to support the hypothesis? (stackexchange.com)
  • Structural Modelling of Car Panels Using Holographic Modal Analysis," SAE Technical Paper 1999-01-1849, 1999, https://doi.org/10.4271/1999-01-1849 . (sae.org)
  • This model has the experimental advantages of a highly laminated structure and allows analysis of not only the axonal response to injury, but also changes in dendrite morphology and synaptic reorganization. (frontiersin.org)
  • It provides a powerful stand-alone environment for data integration, cross-section construction and 3D model building, and forms the base for the specialist structural modules for 2D and 3D Kinematic Modelling, Geomechanical Modelling, Fracture Modelling, Fault Response Modelling, as well as Fault Analysis and Stress Analysis. (mve.com)
  • Export your data in a variety of formats for further analysis and modelling. (mve.com)
  • MOVE Link for Petrel provides a means for Petrel users to share data with Petroleum Expert's structural modelling and analysis software suite. (mve.com)
  • In parallel, a Small-Angle Scattering Task Force has been established to advise the Protein Data Bank on whether models based on SAS data analysis should be deposited and, if so, in what format and with what kinds of supporting data and validation. (iucr.org)
  • Tekla Structural Designer is easy to use software that seamlessly combines design and analysis into one efficient single model based solution. (tekla.com)
  • Time invariance of factor loadings is a standard assumption in the analysis of large factor models. (uc3m.es)
  • Invited commentary: structural equation models and epidemiologic analysis. (aaem.pl)
  • Bai, J. and P. Perron 2003: Computation and analysis of multiple structural change models. (uni-muenchen.de)
  • Structural analysis of a mechanized LHD trench undercut caving system. (cdc.gov)
  • Computer modeling and analysis of the Greens Creek Mine, Admiralty Island, AK. (cdc.gov)
  • This study was conducted at the Greens Creek Mine, which is typical of many VMS-type deposits throughout southeast Alaska , and served as a case history for computer modeling and structural analysis. (cdc.gov)
  • In contrast to earlier work using VAR models, we show that the strategic complementarity or substitutability of fiscal and monetary policy depends crucially on the types of shocks hitting the economy, and on the assumptions made about the underlying structural model. (ssrn.com)
  • The Internalizing/Externalizing Structural Model presents indicators that support its theoretical assumptions. (bvsalud.org)
  • The researchers then built a model using the biomarkers as well as age and sex, two established risk factors. (bio-itworld.com)
  • When a patient's biomarkers and risk factors are entered into the model, it produces a numerical COVID-19 severity score ranging from 0 (mild or moderate) to 100 (critical). (bio-itworld.com)
  • Social factors that inhibit an individual's employment and work hours decision and affect an individual's income are incorporated in the model. (utexas.edu)
  • The test fares well in terms of power relative to other recently proposed tests on this issue, and can be easily implemented to avoid forecasting failures in standard factor-augmented (FAR, FAVAR) models where the number of factors is a priori imposed on the basis of theoretical considerations. (uc3m.es)
  • However, risk factors that capture the degree models be improved. (who.int)
  • Upstream levels incorporate environmental factors (such as the built environment), structural factors (laws and policies), and superstructural factors (social justice issues such as race and class). (cdc.gov)
  • A variety of injury models have been used to examine the response of the brain such as crush injuries to peripheral nerves, cortical stab wounds, and spinal cord injury (SCI) models. (frontiersin.org)
  • This classic lesion provided some of the first evidence for structural plasticity following injury in the CNS, and also provides an opportunity to examine the injury response of some of the most highly plastic neurons in the brain, adult-generated newborn granule cells. (frontiersin.org)
  • A structural equation modelling approaches Journal: International Journal of Productivity and Quality Management (IJPQM) 2018 Vol.24 No.4 pp.543 - 565 Abstract: The purpose of this paper is to examine the impact of the constructs of service quality and customer satisfaction in commercial banks operating in Jordan. (inderscience.com)
  • Structural equation models often contain postulated causal connections among some latent variables (variables thought to exist but which can't be directly observed). (wikipedia.org)
  • The resulting modelling framework, termed generalized latent variable modelling, is a highly flexible, modular tool for modelling and testing complex social science data. (manchester.ac.uk)
  • To introduce students to modern latent variable and structural equation modelling, so that they can specify, estimate, interpret and critically discuss a range of such models based on relevant research questions. (manchester.ac.uk)
  • Be able to critically evaluate examples of latent variable and/or structural equation modelling. (manchester.ac.uk)
  • Bollen K. Structural Equations with Latent Variables. (aaem.pl)
  • The omission of these important data can lead to inaccurate structural parameters and the generation of erroneous and misleading structural models, the validity of which cannot be independently assessed. (iucr.org)
  • The current study aimed to evaluate the validity of the Internalizing/Externalizing Structural Model, having as a standard its ability to overcome the aforementioned limitations and its clinical utility. (bvsalud.org)
  • In general, model reporting should conform to published reporting standards, and attempts should be made to test model validity by using sensitivity analyses. (who.int)
  • A great advantage of SEM is that all of these measurements and tests occur simultaneously in one statistical estimation procedure, where all the model coefficient are calculated using all information from the observed variables. (wikipedia.org)
  • O. D. Duncan introduced SEM to the social sciences in his 1975 book and SEM blossomed in the late 1970's and 1980's when increasing computing power permitted practical model estimation. (wikipedia.org)
  • This Special Issue follows from the Second Conference on Structural Dynamic Models , which focused on the use of machine learning and artificial intelligence to facilitate the solution and estimation of dynamic structural models. (res.org.uk)
  • The 2D/3D space provides a best-practice environment to develop models, which can then be directly tested and validated using the kinematic modules. (mve.com)
  • Principles and Practice of Structural Equaiton Modelling. (aaem.pl)
  • SEM researchers use computer programs to estimate the strength and sign of the coefficients corresponding to the modeled structural connections, for example the numbers connected to the arrows in Figure 1. (wikipedia.org)
  • Jeppe Druedahl and Anders Munk-Nielsen show how machine learning can be used to flexibly estimate income processes, a key input to structural life-cycle models. (res.org.uk)
  • The course also introduces students to the lavaan package in R, which can be used to estimate these models from data. (manchester.ac.uk)
  • I estimate single-equation panel models for 1970-1995 and test formally for structural change. (who.int)
  • A team of structural biologists at the University of Virginia have created a Web resource that provides scientists a quick assessment of SARS-CoV-2 structural models and enhanced versions of these structures, when possible. (bio-itworld.com)
  • 2000. Development of a physiologically based pharmacokinetic model of trichloroethylene and its metabolites for use in risk assessment. (cdc.gov)
  • The substantive content of this course largely overlaps with Summer School course Structural Equation Modeling in R using lavaan (S65), where each have their own specializations in the advanced topics. (utrechtsummerschool.nl)
  • specifically, we focus on measured variable path models, a fundamental building block of SEM (for an overview of other techniques within this framework relevant to applied linguists, see Hancock and Schoonen 2015 ). (degruyter.com)
  • The proposed theoretical framework for this research is based on the work of Yu and Richardson, who developed the model of Student Online Learning Readiness (SOLR). (informingscience.org)
  • The macroeconomic model utilized is small in scale but features a specification designed to represent rational dynamic optimizing choices by the economy's private agents. (repec.org)
  • A new coefficient is proposed to summarize the relative reduction in the noncentrality parameters of two nested models. (nih.gov)
  • This paper presents an empirical study aiming to empirically test the theoretical (pedagogies, technologies and management) (PTM) model on the preference of learners and on the perceived impact of the effectiveness of e-learning. (aisnet.org)
  • After each structural test on the small-scale structure, theoretical data was compared with experimental data. (trb.org)
  • Theoretical and empirical articles were retrieved based and evaluated on basis of its relevance to the model. (bvsalud.org)
  • When designing a risk prediction model, patient-proximate variables with a sound theoretical or proven association with the outcome of interest should be used. (who.int)
  • The content of the articles were organized into three lines of research: structural-epidemiological, psychobiological, and psychometric. (bvsalud.org)
  • The translated polyprotein consists of three structural [capsid (C), membrane (M) and envelope (E)] and seven non-structural proteins (NS1, NS2A, NS2B, NS3, NS4A, NS4B and NS5). (spandidos-publications.com)
  • This book is concerned primarily with modelling economic and social time series, and with addressing the special problems which the treatment of such series poses. (repec.org)
  • Companion website supplying datasets and syntax for the book's examples, along with additional code in SAS/R for linear mixed-effects modeling. (guilford.com)
  • Use R to specify and fit a range of structural equation models to social datasets. (manchester.ac.uk)
  • In order to optimise the vibro-acoustic behaviour of panel-like structures in a more systematic way, accurate structural models are needed. (sae.org)
  • These characteristics support visual observations of increasing complexity and tortuosity of pore structures in the model cluster structures. (strath.ac.uk)
  • Because a postulated model such as Figure 1 may not correspond to the worldly forces controlling the observed data measurements, the programs also provide model tests and diagnostic clues suggesting which indicators, or which model components, might introduce inconsistency between the model and observed data. (wikipedia.org)
  • Script boxes that provide code for fitting the models to example data and facilitate application to the reader's own data. (guilford.com)
  • Each chapter provides conceptually oriented descriptions, fully explicated analyses, and engaging examples that reveal modeling possibilities for use with the reader's data. (guilford.com)
  • Core application for data integration and interpretation, cross-section digitization, 3D model building and the base for the modelling modules and links. (mve.com)
  • Import and integrate a wide variety of data types including: digital field data, digital elevation models, seismic data, well and borehole data, geological maps, annotated field images, scanned cross-sections, remotely sensed data, ASCII, GIS shapefile and DXF files. (mve.com)
  • Visualize your data and model with advanced tools, including animation, lighting and the ability to save camera views. (mve.com)
  • Once data is in MOVE, it is possible to perform the full range of restoration, validation, balancing and advanced structural modelling workflows. (mve.com)
  • The model was initially validated using data from 12 hospitalized COVID-19 patients from Shenzhen, China. (bio-itworld.com)
  • Since then, the researchers further validated the model using data from more than 1,000 New York City COVID-19 patients. (bio-itworld.com)
  • Their goal is to carefully validate the models deposited into the Protein Data Bank of CoV-2 proteins, with the aim of helping the biomedical community to establish a validated database. (bio-itworld.com)
  • The latter now also include modelling algorithms for generating three-dimensional models from solution scattering data that provide results in the form of bead or atomic coordinates. (iucr.org)
  • Core technologies in positioning, modeling, connectivity and data analytics connect the digital and physical worlds to improve productivity, quality, safety, transparency and sustainability. (tekla.com)
  • Following the evaluation of the model and the identification of motifs characteristic of the Flaviviridae family, data from previous publications on the treatment of HCV were incorporated, with the aim of detecting the ideal residues in the Spondweni model, which are similar to those of the HCV structure and are inhibitor targets. (spandidos-publications.com)
  • However, the model suffers from limitations due to its design and its reliance on administrative data. (who.int)
  • The addition of key condition-specific clinical data points at the time of hospital admission will dramatical y improve model performance. (who.int)
  • 2] A prediction model that and transparency of such risk adjustment models, and to widen uses a `history of coronary heart disease' as a risk factor to predict discussion on the strengths and limitations of risk adjustment models death from an acute myocardial infarction (AMI) is always going based on service claims data. (who.int)
  • Factor loadings, t-values and fit indices showed that the SCT model was fitted to the data. (who.int)
  • With SAS emerging as a mainstream structural biology technique, and a growing market in commercial instrumentation as well as new SAS beamlines at synchrotron and neutron sources, there has been considerable community drive for the establishment of publication requirements and standards for structural biology applications. (iucr.org)
  • The link with econometrics is made even closer by the natural way in which the models can be extended to include explanatory variables and to cope with multivariate time series. (repec.org)
  • The empirical model formulates and estimates an integrated model of employment, hours of work and income which takes account of interdependencies among these choices and their structural relationships with other relevant variables. (utexas.edu)
  • Distinguish between and use models for categorical and continuous outcome variables. (manchester.ac.uk)
  • June 5, 2020 More updates on SARS-CoV-2 research and COVID-19 from the Bio-IT Community including an app to create COVID-19 severity scores, new insights into viral behavior, modeling tools for the virus structure, and an influx of funding from Illumina, the Department of Defense, AstraZeneca, and more. (bio-itworld.com)
  • Therefore, the present study proposes the three‑dimensional structure of the helicase/protease enzyme of SPONV through homology modeling, using the crystal structure of the Dengue virus‑4 helicase/protease of the same viral family as a template. (spandidos-publications.com)
  • This paper examines the interaction of monetary and fiscal policies using an estimated New Keynesian dynamic general equilibrium model for the US. (ssrn.com)
  • Muscatelli, Vito Anton and Tirelli, Patrizio and Trecroci, Carmine, Fiscal and Monetary Policy Interactions: Empirical Evidence and Optimal Policy Using a Structural New Keynesian Model (October 2003). (ssrn.com)
  • In both models stratified by gender, perceptions of barriers did not significantly mediate the relationship between urbanicity and physical activity. (bepress.com)
  • Structural Equation Modeling for Evaluating the User Perceptions of E-" by Bhavani Sridharan, Hepu Deng et al. (aisnet.org)
  • Interpret the parameter estimates generated by different structural equation models. (manchester.ac.uk)
  • If you anticipate contact between any sharp corners and surfaces in the model, you should modify the geometry such that the sharp corner is replaced with a rounded boundary, a fillet. (comsol.com)
  • Update your model in real time using the Reshape tool to rapidly modify surfaces, whilst maintaining structural geometry. (mve.com)
  • Because perforant path axons are lesioned at a site remote from the dentate, this model is particularly useful to evaluate axonal sprouting from other pathways terminating in the dentate gyrus. (frontiersin.org)
  • Systematically condition and check your model to improve its integrity. (mve.com)
  • The properties of the models and the methodological techniques used to select them are illustrated with various applications. (repec.org)
  • Unlike the traditional ARIMA models, structural time series models consist explicitly of unobserved components, such as trends and seasonals, which have a direct interpretation. (repec.org)
  • This means the estimates are more accurate than if a researcher were to calculate each part of the model separately. (wikipedia.org)
  • As a result the model selection methodology associated with structural models is much closer to econometric methodology. (repec.org)
  • The Econometrics Journal published a Special Issue on the Methodology and Applications of Structural Dynamic Models and Machine Learning , edited by former Co-editor John Rust and guest editors Fedor Iskhakov and Bertel Schjerning. (res.org.uk)
  • Methodology Structural equation modeling (SEM) was used to test the proposed model of students' readiness for MOOCs. (informingscience.org)
  • The present article aims to introduce structural equation modeling, in particular measured variable path models, and discuss their great potential for corpus linguists. (degruyter.com)
  • This study uses structural equation modelling (SEM) to identify the critical dimensions in the PTM model for augmenting the effectiveness of e-learning. (aisnet.org)
  • Development and Structural Change in Asia-Pacific. (lu.se)
  • Clustering and Residual Confounding in the Application of Marginal Structural Models: Dialysis Modality, Vascular Access, and Mortality. (anzdata.org.au)
  • In 2019, Discovery Health published a risk adjustment model to determine standardised mortality rates across South African private hospital systems, with the aim of contributing towards quality improvement in the private healthcare sector. (who.int)
  • Performance of Operational Policy Rules in an Estimated Semi-Classical Structural Model ," NBER Working Papers 6599, National Bureau of Economic Research, Inc. (repec.org)
  • The Walmart Corporation and the Lumina Foundation have provided funding to make New Models of Higher Education: Unbundled, Rebundled, Customized, and DIY fully open access, completely removing any paywall between scholars in education and the latest research on new models for the future of higher education. (igi-global.com)
  • Structural equation modelling stratified by gender was used to assess the research objective in a sample of 546 participants aged 8-14 years old from Northwestern and Southwestern Ontario, Canada. (bepress.com)
  • Furthermore, the research model includes an additional competency: self-management of learning, "the degree to which a student perceives himself/herself as being self-disciplined and is able to engage in a greatly autonomous learning setting. (informingscience.org)
  • How to use structural equation modeling in medical education research: a brief guide. (aaem.pl)
  • Castelnuovo, E. and P., Surico 2004: Model uncertainty, optimal monetary policy and the preferences of the Fed. (uni-muenchen.de)