Results 251 to 260 of about 188,629 (284)
Exploring Pathways Linking Work and Nonwork Factors to Sleep, Fatigue, and Health in Night Shift Nurses: A Structural Equation Modeling Analysis. [PDF]
J Nurs ManagJeon BM, Kim SH.
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The Mediating Role of Spirituality in the Effect of the Nursing Work Environment on the Quality of Working Life: A Structural Equation Modeling Study. [PDF]
J Nurs ManagKoroglu S.
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Structural equation modeling of determining factors in musical creativity: an extended model based on Componential Theory of Creativity. [PDF]
BMC PsycholZheng W, Li X, Ben S.
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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
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
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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
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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.
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