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A Structural Equation Modelling Exploration of the Role of Schizotypal Traits, Cognitive Schemas and Dysfunctional Attitudes in Social Isolation. [PDF]
Early Interv PsychiatryAidelbaum R +4 more
europepmc +1 more source
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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
openaire +3 more sources
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
openaire +3 more sources
Annual Review of Sociology, 1977
More than a decade ago, methods for modeling the structure of relationships among variables with systems of equations began to diffuse among sociologists. Expositions and applications have typically referred to causal models or path analysis, and we use those terms and structural equation models interchangeably.
W T Bielby, R M Hauser
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More than a decade ago, methods for modeling the structure of relationships among variables with systems of equations began to diffuse among sociologists. Expositions and applications have typically referred to causal models or path analysis, and we use those terms and structural equation models interchangeably.
W T Bielby, R M Hauser
openaire +1 more source
Journal of Travel & Tourism Marketing, 2007
Abstract This article focuses on a variety of research issues related to structural equation modelling. Methodological and analytical issues when applying SEM techniques are discussed. Guidelines on how to present and report SEM results in academic publications are provided, and the most common SEM computer software identified.
Yvette Reisinger, Felix Mavondo
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Abstract This article focuses on a variety of research issues related to structural equation modelling. Methodological and analytical issues when applying SEM techniques are discussed. Guidelines on how to present and report SEM results in academic publications are provided, and the most common SEM computer software identified.
Yvette Reisinger, Felix Mavondo
openaire +2 more sources
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.
openaire +1 more source
2009
Abstract This article explains the use of factor analysis types of models to develop measures of latent concepts which were then combined with causal models of the underlying latent concepts. In particular, it offers an overview of the classic structural equation models (SEMs) when the latent and observed variables are continuous.
Kenneth A. Bollen +2 more
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Abstract This article explains the use of factor analysis types of models to develop measures of latent concepts which were then combined with causal models of the underlying latent concepts. In particular, it offers an overview of the classic structural equation models (SEMs) when the latent and observed variables are continuous.
Kenneth A. Bollen +2 more
openaire +2 more sources