Results 211 to 220 of about 3,495,586 (261)
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Annual Review of Clinical Psychology, 2014
Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA), path analysis, and structural equation modeling (SEM) have long histories in clinical research.
H. Marsh +3 more
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Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA), path analysis, and structural equation modeling (SEM) have long histories in clinical research.
H. Marsh +3 more
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2018
A family of statistical techniques that has risen in popularity in conjunction with the availability of computing power and software is that of structural equation modelling (SEM). This chapter will provide an introduction to the basic principles of SEM analysis by constructing and fitting an example model.
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A family of statistical techniques that has risen in popularity in conjunction with the availability of computing power and software is that of structural equation modelling (SEM). This chapter will provide an introduction to the basic principles of SEM analysis by constructing and fitting an example model.
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Partial Least Squares Structural Equation Modeling
Handbook of Market Research, 2021M. Sarstedt, C. Ringle, Joseph F. Hair
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Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R: A Workbook
Business, 2021Joseph F. Hair Jr. +5 more
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Structural Equation Modeling With Ωnyx
Structural Equation Modeling: A Multidisciplinary Journal, 2014Ωnyx is a free software environment for creating and estimating structural equation models (SEM). It provides a graphical user interface that facilitates an intuitive creation of models, and a powerful back end for performing maximum likelihood estimation of parameters. Path diagrams in Ωnyx can be exported to OpenMx, lavaan, and Mplus to allow an easy
von Oertzen, T. +2 more
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On the Evaluation of Structural Equation Models
Journal of the Academy of Marketing Science, 1988Criteria for evaluating structural equation models with latent variables are defined, critiqued, and illustrated. An overall program for model evaluation is proposed based upon an interpretation of converging and diverging evidence. Model assessment is considered to be a complex process mixing statistical criteria with philosophical, historical, and ...
Youjae Yi, Richard P. Bagozzi
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An introduction to structural equation models
Journal of Clinical and Experimental Neuropsychology, 1988This paper provides an overview of structural equation models, and their potential for advancing neuropsychological theory and practice. Four topics are covered: (1) an overview of the various classes of models, and an introduction to the terminology and diagrams used to describe them, (2) an outline of the steps involved in applying structural ...
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, 2013 An assessment of the use of partial least squares structural equation modeling in marketing research
, 2012Joseph F. Hair +3 more
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