Journal ArticleDOI
Introduction to Structural Equation Modeling: Issues and Practical Considerations
Pui Wa Lei,Qiong Wu +1 more
TLDR
Structural equation modeling (SEM) is a versatile statistical modeling tool as discussed by the authors, and its estimation techniques, modeling capacities, and breadth of applications are expanding rapidly, and it can be used in many applications.Abstract:
Structural equation modeling (SEM) is a versatile statistical modeling tool. Its estimation techniques, modeling capacities, and breadth of applications are expanding rapidly. This module introduces some common terminologies. General steps of SEM are discussed along with important considerations in each step. Simple examples are provided to illustrate some of the ideas for beginners. In addition, several popular specialized SEM software programs are briefly discussed with regard to their features and availability. The intent of this module is to focus on foundational issues to inform readers of the potentials as well as the limitations of SEM. Interested readers are encouraged to consult additional references for advanced model types and more application examples.read more
Citations
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Journal ArticleDOI
A comparative study of CB-SEM and PLS-SEM for theory development in family firm research
TL;DR: It is found that even though both methods analyze measurement theory and structural path models, there are many advantages in applying PLS-SEM.
Journal ArticleDOI
Luxury fashion consumption in China: Factors affecting attitude and purchase intent
Bopeng Zhang,Jung-Hwan Kim +1 more
TL;DR: Wang et al. as mentioned in this paper examined influencing factors that affect Chinese consumers' attitude towards purchasing luxury fashion goods and purchase intent and found that brand consciousness, social comparison and fashion innovativeness have significant impact on attitude towards buying luxury fashion items among Chinese consumers.
Journal ArticleDOI
Replication and validation of higher order models demonstrated that a summary score for the EORTC QLQ-C30 is robust
Johannes M. Giesinger,Jacobien M. Kieffer,Peter Fayers,Peter Fayers,Mogens Groenvold,Mogens Groenvold,Morten Petersen,Neil W. Scott,Mirjam A. G. Sprangers,Galina Velikova,Neil K. Aaronson +10 more
TL;DR: The results provide empirical support for a measurement model for the QLQ-C30 yielding a single summary score that can avoid problems with potential type I errors that arise when making comparisons based on the 15 outcomes generated by this questionnaire and may reduce sample size requirements for health-related quality of life studies when an overall summary score is a relevant primary outcome.
Journal ArticleDOI
Psychometric Evaluation of the Arabic Version of the Fear of COVID-19 Scale.
TL;DR: The Arabic version of the FCV-19S is psychometrically robust and can be used in research assessing the psychological impact of COVID-19 among a Saudi adult population.
References
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Journal ArticleDOI
Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives
Li-tze Hu,Peter M. Bentler +1 more
TL;DR: In this article, the adequacy of the conventional cutoff criteria and several new alternatives for various fit indexes used to evaluate model fit in practice were examined, and the results suggest that, for the ML method, a cutoff value close to.95 for TLI, BL89, CFI, RNI, and G...
Journal ArticleDOI
Comparative fit indexes in structural models
TL;DR: A new coefficient is proposed to summarize the relative reduction in the noncentrality parameters of two nested models and two estimators of the coefficient yield new normed (CFI) and nonnormed (FI) fit indexes.
Book
Structural Equations with Latent Variables
TL;DR: The General Model, Part I: Latent Variable and Measurement Models Combined, Part II: Extensions, Part III: Extensions and Part IV: Confirmatory Factor Analysis as discussed by the authors.
Journal ArticleDOI
Significance tests and goodness of fit in the analysis of covariance structures
TL;DR: In this article, a general null model based on modified independence among variables is proposed to provide an additional reference point for the statistical and scientific evaluation of covariance structure models, and the importance of supplementing statistical evaluation with incremental fit indices associated with the comparison of hierarchical models.
MonographDOI
Causality: models, reasoning, and inference
TL;DR: The art and science of cause and effect have been studied in the social sciences for a long time as mentioned in this paper, see, e.g., the theory of inferred causation, causal diagrams and the identification of causal effects.
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Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives
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