###### Causal

- Over a period of 5 weeks, you will learn how causal effects are defined, what assumptions about your data and models are necessary, and how to implement and interpret some popular statistical methods. (coursera.org)
- Structural equation modeling ( SEM ) is a form of causal modeling that includes a diverse set of mathematical models, computer algorithms, and statistical methods that fit networks of constructs to data. (wikipedia.org)
- Some cautions concerning the application of causal modeling methods. (springer.com)
- The causal model is further specified by assuming a functional form between the constructs and the observed variables. (acrwebsite.org)
- It is the standard approach of factor analytic and causal modelling in such diverse fields as sociology, education, psychology, economics, management and medical sciences. (springer.com)

###### confirmatory factor a

- SEM includes confirmatory factor analysis , path analysis , partial least squares path modeling , and latent growth modeling . (wikipedia.org)
- This chapter explains the core principles of confirmatory factor analysis (CFA) and structural equation modeling (SEM) that can be used in applied linguistics research. (springer.com)

###### equation modeling

- Strategic competence as a fourth-order factor model: A structural equation modeling approach. (springer.com)
- This structural equation modeling approach forms the foundation for the analyses performed by Bagozzi and Burnkrant (B-B) and John and Reve (J-R). It is my personal opinion that this approach has significant potential in testing specific consumer theories. (acrwebsite.org)

###### approaches

- Thus, energy methods also serve as a prelude to the main ideas behind modern computational approaches to structural analysis and design. (cambridge.org)
- The links between constructs of a structural equation model may be estimated with independent regression equations or through more involved approaches such as those employed in LISREL. (wikipedia.org)
- We use a combination of approaches, including high-resolution X-ray crystallography, ab initio structural prediction, homology modeling, and single-particle cryo-electron microscopy, to generate complete atomic models of E. coli core RNAP and an E. coli RNAP ternary elongation complex. (plos.org)
- Here, we used a combination of approaches-high-resolution X-ray crystallography of E. coli RNAP fragments, ab initio structure prediction, homology modeling, and single-particle cryo-electron microscopy-to generate complete atomic models of E. coli RNAP. (plos.org)
- To assess the effectiveness of standard econometric approaches to the endogeneity problem, we apply those remedies to panel data generated from the model. (repec.org)
- Finally, methodologists, mathematicians and applied researchers alike are addressed, who simply want to update their knowledge of recent approaches in data analysis and mathematical modelling. (springer.com)

###### Molecular

- Nevertheless, a molecular understanding of the details of E. coli transcription and its regulation, and therefore its full exploitation as a model system, has been hampered by the absence of high-resolution structural information on E. coli RNA polymerase (RNAP). (plos.org)
- Here, we present a structural model of YidC based on evolutionary co-variation analysis, lipid-versus-protein-exposure and molecular dynamics simulations. (elifesciences.org)

###### Linear Structural Models

- Projection-Based Statistical Inference in Linear Structural Models with Possibly Weak Instruments ," Econometrica , Econometric Society, vol. 73(4), pages 1351-1365, July. (repec.org)
- Projection-Based Statistical Inference in Linear Structural Models with Possibly Weak Instruments ," Cahiers de recherche 2003-10, Universite de Montreal, Departement de sciences economiques. (repec.org)

###### longitudinal data

- A two-stage approach to multilevel structural equation models: application to longitudinal data. (springer.com)
- Modeling Longitudinal Data of an Intervention Study on Travel Model Choice: Combining Latent Growth Curves and Autoregressive Models. (springer.com)

###### marginal

- The well-known structural model used to estimate market structure suffers from a severe collinearity problem if the marginal cost and demand equations are linear. (umn.edu)
- We hypothesize ESA dose indeed exhibits a direct linear relationship with mortality in models of association implementing the use of a marginal structural model (MSM), which controls for time-varying confounding and examines causality in the ESA dose-mortality relationship. (hindawi.com)
- Objectives To apply Marginal Structural Models (MSM) to address healthy workers survivor effect in a cohort study of active workers when time varying variables on health status and exposure are measured. (bmj.com)
- Conclusions Marginal Structural Models can be used in active employment occupational cohorts to address time varying confounding. (bmj.com)

###### discrete

- Discrete-Time Approximations of the Holmstrom-Milgrom Brownian-Motion Model of Intertemporal Incentive Provision ," Econometrica , Econometric Society, vol. 70(6), pages 2225-2264, November. (repec.org)
- Discrete-Time Approximations of the Holmström-Milgrom Brownian-Motion, Model of Intertemporal Incentive Provision ," Sonderforschungsbereich 504 Publications 98-06, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim. (repec.org)

###### researchers

- The module is aimed at researchers and research students who have experience of statistical modelling (up to linear regression) and hypothesis testing, who wish to develop techniques to analyse more complex data involving latent variables. (ncrm.ac.uk)
- Structural equation modelling: Possibilities for language learning researchers. (springer.com)
- However, in the last few years a new methodology, often referred to as structural equation modeling, has developed which allows consumer researchers to incorporate into their analyses both aspects, i.e., that the theory is in terms of theoretical constructs and the data used to test the theory are composed of fallible measures. (acrwebsite.org)
- Researchers often use this computational modeling in lieu of investing the time and money that physical experiments require. (jhu.edu)
- Other researchers have developed numerous methods to encode amino acids, but greater accuracy of the structural class prediction remains elusive. (jhu.edu)
- In addition, the book offers applied researchers new ideas about the use of Structural Equation Modeling in solving their problems. (springer.com)

###### framework

- Furthermore, a statistical prediction framework to quantify the ability of a cortical parcellation to account for structural connectivity is proposed. (dtu.dk)
- The detailed and comprehensive structural descriptions can be used to help interpret previous biochemical and genetic data in a new light and provide a structural framework for designing experiments to understand the function of the E. coli lineage-specific insertions and their role in the E. coli transcription program. (plos.org)
- Our detailed and comprehensive structural models provide the heretofore missing structural framework for understanding the function of the highly characterized E. coli RNAP. (plos.org)
- A unifying framework for generalized multilevel structural equation modeling is introduced. (springer.com)
- The models in the framework, called generalized linear latent and mixed models (GLLAMM), combine features of generalized linear mixed models (GLMM) and structural equation models (SEM) and consist of a response model and a structural model for the latent variables. (springer.com)
- Based on a theoretical framework called MAPIT, we particularly focus on how structural conditions affect organization of new services. (bibsys.no)
- In the framework of structural equation modeling the assessment of power is complicated. (gsu.edu)

###### Multilevel Models

- The use of multilevel models to evaluate sources of variation in reproductive performance in dairy cattle. (springer.com)

###### cryo-electron m

- The model was used for docking into a cryo-electron microscopy reconstruction of a translating YidC-ribosome complex carrying the YidC substrate F O c. (elifesciences.org)

###### latent variable models

- Full-information maximum-likelihood estimation of general two-level latent variable models. (springer.com)

###### structures

- Model, analyze, and design with intuitive applications tailored especially to the needs of building structures. (bentley.com)
- In previous modeling efforts Purkinje-like structures have been developed through either automated or hand-drawn procedures, but these networks have been created according to general principles rather than based on real networks. (hindawi.com)
- This book presents a modern and unified introduction to structural analysis, with a strong emphasis on how structures actually behave. (cambridge.org)
- The response model generalizes GLMMs to incorporate factor structures in addition to random intercepts and coefficients. (springer.com)

###### prediction

- We discuss and illustrate with a tutorial example a "classical" protein-protein docking prediction, as well as more recent developments for modelling multi-body systems and large conformational changes. (springer.com)

###### Satorra

- A method for evaluating the power of the likelihood ratio test in structural equation modeling was developed by Satorra and Saris (1985) . (gsu.edu)
- Specifically, Saris, Satorra, and Sörbom (1987) advocated a combination of the modification index and the expected change statistic (EC) to guide model modifications. (gsu.edu)

###### mathematical

- Criticism of SEM methods often addresses pitfalls in mathematical formulation, weak external validity of some accepted models and philosophical bias inherent to the standard procedures. (wikipedia.org)

###### Thus

- It has thus far proven impossible to obtain a high-resolution structure of E. coli RNAP, which has made it difficult to relate the large collection of genetic and biochemical data on RNAP function directly to the available structural information. (plos.org)
- Thus, for any estimated model, it is a simple matter to look at these indices in relation to tabled values of the noncentral chi-square distribution in order to assess power. (gsu.edu)

###### estimate

- Tractography based on diffusion magnetic resonance imaging is a unique tool to estimate this "structural connectivity" of the brain non-invasively and in vivo. (dtu.dk)
- First, estimate the model of interest. (gsu.edu)
- Third, re-estimate the initial model with each estimated parameter fixed at their estimated value and choose an "alternative" fixed value for the parameter of interest. (gsu.edu)
- We estimate the structural parameters for forward-looking users individually in a computationally efficient manner. (ssrn.com)

###### determinants

- This paper presents a parsimonious, structural model that isolates primary economic determinants of the level and dispersion of managerial ownership, firm scale, and performance and the empirical associations among them. (repec.org)

###### assumptions

- CFA differs from exploratory factor analysis in many ways (e.g., statistical assumptions and procedures, assessment of model fit and methods for extracting factors). (springer.com)

###### Proteins

- The approach used here will be useful for structural analysis of other oligomeric proteins that weakly assemble in the membrane. (pnas.org)

###### theory

- It is well known that standard asymptotic theory is not applicable or is very unreliable in models with identification problems or weak instruments. (repec.org)
- Bayesian modeling of measurement error in predictor variables using item response theory. (springer.com)
- Model selection and Akaike's information criteria (AIC): The general theory and its analytical extensions. (springer.com)
- A major methodological problem in consumer research is the testing and/or validation of a theory where the theory of interest is stated in terms of unobservable constructs while the variables used to test the model are fallible measures of these constructs. (acrwebsite.org)

###### Approach

- This paper presents an alternative modelling of the term structure of the credit spreads under a structural approach. (repec.org)
- Consideration of the power associated with the likelihood ratio test (or other asymptotically equivalent tests) led to an approach for conducting model modification. (gsu.edu)
- This power-based approach to model modification was advocated by Kaplan (1990 , with subsequent commentary). (gsu.edu)
- In this paper Delphi technique and Interpretive structural modelling approach have been employed to model the identified factors. (igi-global.com)

###### Escherichia

- The Escherichia coli transcription system is the best characterized from a biochemical and genetic point of view and has served as a model system. (plos.org)
- We have determined a structural model of the Escherichia coli TatA complex in detergent solution by NMR. (pnas.org)

###### consumer behavior

- Until recently most analyses of consumer behavior models have not explicitly taken into account this difference between the theoretical constructs and the observed measures. (acrwebsite.org)
- The present invention generally relates to financial data processing, and in particular it relates to credit scoring, consumer profiling, consumer behavior analysis and modeling. (google.com)

###### hypotheses

- Unlike simple procedures such as the t-test or ANOVA wherein alternative hypotheses pertain to only a few parameters, in structural equation modeling there are considerably more parameters. (gsu.edu)

###### characterization

- During the last decade, brain connectivity has increasingly been analyzed using graph theoretic measures adopted from network science and this characterization of the brain's structural connectivity has been shown to be useful for the classification of populations, such as healthy and diseased subjects. (dtu.dk)
- A simplified structural characterization of the human skull-brain system is formulated. (asce.org)

###### theoretical

- In addition to an extension of its application area, Structural Equation Modelling also features a continual renewal and extension of its theoretical background. (springer.com)
- then used a combination of theoretical modeling and other experiments to identify the amino acids in the YidC protein that bind to the ribosome: as expected, the binding takes place where the newly formed protein chain exits the ribosome. (elifesciences.org)
- We derive theoretical properties of the model to uncover users' dynamic usage patterns. (ssrn.com)

###### coordination

- Any file created with ISM can be reviewed in Structural Navigator , Bentley's mobile app for structural design review and coordination, available for Apple and Android mobile devices. (bentley.com)

###### parameters

- The generation of structural brain connectivity graphs comprises a comprehensive processing pipeline, with various experimenter-defined parameters. (dtu.dk)
- The settings of these parameters are, however, unclear and this subjective aspect complicates the cross-comparison of studies investigating structural brain connectivity derived from tractography. (dtu.dk)
- Even though scan acquisition parameters, i.e. spatial resolution, angular resolution and b-value, are often discussed as possible factors influencing the final result, the impact of these factors on the derived structural connectivity graph has not yet been investigated. (dtu.dk)
- Herein, structural connectivity graphs, generated using different combinations of the three aforementioned acquisition parameters, are validated by comparison to a connectivity graph derived using invasive tracer injections in monkeys. (dtu.dk)
- It is found that the choice of acquisition parameters influences the derived structural connectivity graph and that higher angular resolution is always beneficial. (dtu.dk)
- SEM provides numerical estimates for each of the parameters (arrows) in the model to indicate the strength of the relationships. (wikipedia.org)
- Our model with individual-specific parameters fully captures the significant heterogeneity among mobile data users. (ssrn.com)

###### computational

- because Dym writes with sufficient clarity to allow readers with a classic structural analysis background to develop a foundation on which to build computerized versions of stiffness and flexibility, his book will be an excellent foundation for understanding modern computational methods of stress analysis used in aeronautical, civil, and mechanical engineering. (cambridge.org)

###### psychology

- Structural equation modeling, as the term is currently used in sociology, psychology, and other social sciences evolved from the earlier methods in genetic path modeling of Sewall Wright . (wikipedia.org)

###### data

- To allow for greater realism in Purkinje structural models, we present a method for creating three-dimensional Purkinje networks based directly on imaging data. (hindawi.com)
- Hierarchical modeling of paired comparison data. (springer.com)
- Modeling Longitudinal and Multilevel Data (pp. 33-49). (springer.com)
- Employing a unique data set on users' daily data usage from a leading mobile carrier in China, we develop a dynamic structural model in which an individual user maximizes her data usage utility considering the intertemporal trade-off between current and future consumption. (ssrn.com)
- Simulated usage data using the model estimates well capture the dynamic trends observed in the actual data. (ssrn.com)

###### Methods

- Various methods in structural equation modeling have been used in the sciences, business, and other fields. (wikipedia.org)
- The 2015 text Structural Equation Modeling: From Paths to Networks provides a history of the methods. (wikipedia.org)

###### constructs

- Structural equation models are often used to assess unobservable 'latent' constructs. (wikipedia.org)

###### coli

- Evolutionary covariation based structural model of E. coli YidC. (elifesciences.org)

###### economics

- The concept should not be confused with the related concept of structural models in econometrics , nor with structural models in economics . (wikipedia.org)
- Structural models and endogeneity in corporate finance: The link between managerial ownership and corporate performance ," Journal of Financial Economics , Elsevier, vol. 103(1), pages 149-168. (repec.org)

###### Comparative

- Comparative statics with similar models such as Briys and de Varenne are provided thereafter. (repec.org)
- Comparative fit indexes in structural models. (springer.com)

###### application

- The viewing and revision management application for ISM, Structural Synchronizer has an intuitive graphical interface that is ideal for managing changes to ISM repositories or just for basic review and navigation. (bentley.com)
- Transfer structural model geometry and design results from one application to another and synchronize changes over time. (bentley.com)
- Richard Staelin (1979) ,"Structural Modelling: an Application For Testing Attitude Models and Convergent Validity", in NA - Advances in Consumer Research Volume 06, eds. (acrwebsite.org)

###### analysis

- Bentley's Integrated Structural Modeling (ISM) allows you to share structural engineering project information among modeling, analysis, design, drafting, and detailing software applications. (bentley.com)
- Integrate the 3D piping model with pipe stress analysis tools to increase design quality and design productivity. (bentley.com)
- The study of structural analysis and design is a central subject in civil, aeronautical and mechanical engineering. (cambridge.org)
- A very positive recommendation for libraries collecting books on structural analysis. (cambridge.org)
- Multilevel mixed linear model analysis using iterative generalised least squares. (springer.com)

###### organization

- Knowledge about how the brain is connected can further our understanding of the brain's structural organization, help improve diagnosis, and potentially allow better treatment of a wide range of neurological disorders. (dtu.dk)
- In this thesis, the ability of stochastic block models to extract the latent organization of structural brain connectivity graphs is investigated. (dtu.dk)

###### concepts

- A set of state variables is introduced into the model to explore discriminative semantic concepts shared among different actions. (springer.com)
- In R. H. Hoyle (Ed.), Structural equation modeling: Concepts, issues, and applications (pp. 100-117). (springer.com)

###### outcomes

- brain measures and outcomes in a single integrated model. (coursera.org)

###### assessment

- Structural equation modeling reporting practices for language assessment. (springer.com)

###### Parameter

- In the context of structural equation modeling, the null hypothesis is defined by the specification of fixed and free elements in relevant parameter matrices of the model equations. (gsu.edu)
- Each fixed parameter in the model is potentially false and each can take on, in principle, an infinite number of alternative values. (gsu.edu)
- Note that if the null hypothesis is true for that parameter, then the likelihood ratio chi-square for the model would be zero with degrees-of-freedom equaling the degrees-of-freedom of the model. (gsu.edu)
- If the null hypothesis is false for that parameter, then the likelihood ratio chi-square will be some positive number reflecting the specification error incurred by fixing that parameter to the value chosen in the initial model. (gsu.edu)
- That is, the square of the T-value (in LISREL) or the Wald test (in EQS) can be used to assess the power of an estimated parameter in the model, against a null hypothesis that the value of the parameter is zero. (gsu.edu)

###### variables

- The latter allows one to build exact tests and confidence sets only for the full vector of the coefficients of the endogenous explanatory variables in a structural equation, but not for individual coefficients. (repec.org)
- They often invoke a measurement model that defines latent variables using one or more observed variables , and a structural model that imputes relationships between latent variables. (wikipedia.org)
- Path models, are a series of linear models and observed variables. (coursera.org)
- The state variables are treated as latent information in the discriminative structural model and inferred during both training and testing. (springer.com)
- The structural model is similar to the structural part of a SEM except that it may include latent and observed variables varying at different levels. (springer.com)
- These techniques will then be extended into the wider area of structural equation modelling, where complex models involving several latent variables will be introduced. (ncrm.ac.uk)

###### complex

- Fitting the more detailed model of YidC into this overall structure of the whole complex revealed how a single YidC protein might interact with the ribosome to insert a newly built protein into a membrane. (elifesciences.org)
- The 1:2 compound formed between a new cavitand C 40 H 48 Si 4 O 8 [chemical name: 5,10;12,17;19,24;26,3-tetrakis(dimethylsiladioxa)-1,8,15,22-tetramethyl[1 4 ]metacyclophane] and CS 2 ( M r =921.42) provided a suitable structural model for a rigid inclusion complex between uncharged lipophilic molecules. (springer.com)

###### Paper

- Structural Models and Endogeneity in Corporate Finance: the Link Between Managerial Ownership and Corporate Performance ," MPRA Paper 4374, University Library of Munich, Germany, revised 15 Feb 2007. (repec.org)
- In this paper, a novel discriminative structural model is proposed for splitting a long-term video into segments and annotating the action label of each segment. (springer.com)

###### formulation

- The book addresses methodologists and statisticians professionally dealing with Structural Equation Modelling to enhance their knowledge of the type of models covered and the technical problems involved in their formulation. (springer.com)

###### analyze

- Design, model, and analyze 3D piping systems to international piping specifications based on parametric component catalogs. (bentley.com)