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The impact of work concerns on teaching effectiveness: a structural equation modeling and multiple regression analysis in Chinese private universities. [PDF]
Front PsycholLiang M, Abdullah MK, Wang Q.
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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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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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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 (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 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 ...
Richard P. Bagozzi, Youjae Yi
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Frequentist Model Averaging in Structural Equation Modelling
Psychometrika, 2019Model 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, 2000We 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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