Results 211 to 220 of about 397,649 (262)

Toward equation structural modeling: an integration of interpretive structural modeling and structural equation modeling

Journal of Management Analytics, 2021
Interpretive structural modeling (ISM) is an interactive process in which a malformed (bad structured) problem is structured into a comprehensive systematic model.
Alireza Amini, Moslem Alimohammadlou
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Structural Equation Modeling With Ωnyx

Structural Equation Modeling: A Multidisciplinary Journal, 2014
Ωnyx 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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Structural Equation Modeling

2011
Structural equation modeling (SEM) is a multivariate statistical framework that is used to model complex relationships between directly and indirectly observed (latent) variables. SEM is a general framework that involves simultaneously solving systems of linear equations and encompasses other techniques such as regression, factor analysis, path ...
Catherine M, Stein   +2 more
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Structural Equation Modeling with lavaan

2018
This book presents an introduction to structural equation modeling (SEM) and facilitates the access of students and researchers in various scientific fields to this powerful statistical tool. It offers a didactic initiation to SEM as well as to the open-source software, lavaan, and the rich and comprehensive technical features it offers.
Gana, Kamel, Broc, Guillaume
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Frequentist Model Averaging in Structural Equation Modelling

Psychometrika, 2019
Model selection from a set of candidate models plays an important role in many structural equation modelling applications. However, traditional model selection methods introduce extra randomness that is not accounted for by post-model selection inference.
Jin, Shaobo, Ankargren, Sebastian
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On the use of structural equation models for marketing modeling

International Journal of Research in Marketing, 2000
We reflect on the role of structural equation modeling (SEM) in marketing modeling and managerial decision making. We discuss some benefits provided by SEM and alert marketing modelers to several recent developments in SEM in three areas: measurement analysis, analysis of cross-sectional data, and analysis of longitudinal data.
Steenkamp, J.E.B.M., Baumgartner, H.
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Structural Equation Modelling

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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An introduction to structural equation models

Journal of Clinical and Experimental Neuropsychology, 1988
This 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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