Results 231 to 240 of about 369,240 (294)
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Partial least squares structural equation modeling (PLS-SEM)
European Business Review, 2014Purpose– The authors aim to present partial least squares (PLS) as an evolving approach to structural equation modeling (SEM), highlight its advantages and limitations and provide an overview of recent research on the method across various fields.Design/methodology/approach– In this review article, the authors merge literatures from the marketing ...
Hair, Joseph F. +3 more
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Applying Structural Equation Modeling (SEM) in Educational Research
2013The use of Structural Equation Modeling (SEM) in research has increased in psychology, sociology, education, and economics since it was first conceived by Wright (1918), a biometrician who was credited with the development of path analysis to analyze genetic theory in biology (Teo & Khine, 2009). In the 1970s, SEM enjoyed a renaissance, particularly in
Timothy Teo +2 more
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Journal for the Education of the Gifted, 2003
Structural equation modeling (SEM) refers to a family of statistical techniques that explores the relationships among a set of variables. Structural equation modeling provides an extremely versatile method to model very specific hypotheses involving systems of variables, both measured and unmeasured.
D. McCoach
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Structural equation modeling (SEM) refers to a family of statistical techniques that explores the relationships among a set of variables. Structural equation modeling provides an extremely versatile method to model very specific hypotheses involving systems of variables, both measured and unmeasured.
D. McCoach
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Structural Equation Modeling (SEM)
Encyclopedia of Behavioral Medicine, 2013Maria Magdalena Llabre +1 more
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Encyclopedia of Personality and Individual Differences, 2019
The chapters demonstrate two SEM programs with distinct user interfaces and capabilities (Amos and Mplus) with enough specificity that readers can conduct their own analyses without consulting additional resources.
C. Singh, J. S. Khamba
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The chapters demonstrate two SEM programs with distinct user interfaces and capabilities (Amos and Mplus) with enough specificity that readers can conduct their own analyses without consulting additional resources.
C. Singh, J. S. Khamba
semanticscholar +1 more source
Review of structural equation modeling (SEM) applications
2013 2nd International Symposium on Instrumentation and Measurement, Sensor Network and Automation (IMSNA), 2013Structural Equation Modeling (SEM) is a statistical method that states the relation between observation variables and latent variables or among the latent variables by linear equation system. Currently, SEM is being used widely in many fields. The article presents the applications of SEM in recent years so as to give help for people to study and use it
Ying Zhang, Xuebo Chen, Qiubai Sun
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SEM: Structural Equation Modeling in Molecular Biology
Biophysics, 2018Structural equation modeling (SEM) is a second-generation multivariate method to estimate the causal interactions in a set of variables and includes, as special cases, several statistical methods (regression analysis, path analysis, and confirmatory factor analysis). This review focuses on all of the main SEM models and various methods used to optimize
A. A. Igolkina, M. G. Samsonova
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Abstract: Revisiting the Model Size Effect in Structural Equation Modeling (SEM)
Multivariate Behavioral Research, 2015It is generally believed that fitting a large SEM model with moderate to small sample sizes results in a likelihood ratio statistic distribution with inflated Type I error rate, thus poorly approxi...
Dexin, Shi, Taehun, Lee, Robert A, Terry
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SCIENCE AND TECHNOLOGY EDUCATION: CURRENT CHALLENGES AND POSSIBLE SOLUTIONS, 2019
This research is aimed to validate an instrument, the Malaysian version of ROSE or MROSE to gauge Malaysian secondary students’ interests, attitudes, values, and priorities in S&T-related issues.
L. Fah +3 more
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This research is aimed to validate an instrument, the Malaysian version of ROSE or MROSE to gauge Malaysian secondary students’ interests, attitudes, values, and priorities in S&T-related issues.
L. Fah +3 more
semanticscholar +1 more source
Data Analysis: Structure Equation Modeling (SEM)
2015This chapter is reported in three parts. This chapter first provides a brief introduction about Structure Equation Modeling (SEM) and its definition and types. The purpose of this introduction is to illustrate the reasons for using SEM and the procedures used in the analysis.
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