Journal ArticleDOI
The Effect of Varying Degrees of Nonnormality in Structural Equation Modeling
Ming Lei,Richard G. Lomax +1 more
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In this article, the robustness of structural equation modeling to different degrees of nonnormality under 2 estimation methods, generalized least squares and maximum likelihood, and 4 sample sizes, 100, 250, 500, and 1,000, was investigated.Abstract:
This simulation study investigated the robustness of structural equation modeling to different degrees of nonnormality under 2 estimation methods, generalized least squares and maximum likelihood, and 4 sample sizes, 100, 250, 500, and 1,000. Each of the slight and severe nonnormality degrees was comprised of pure skewness, pure kurtosis, and both skewness and kurtosis. Bias and standard errors of parameter estimates were analyzed. In addition, an analysis of variance was conducted to investigate the effects of the 3 factors on several goodness-of-fit indexes. The study found that standard errors of parameter estimates were not significantly affected by estimation methods and nonnormality conditions. As expected, standard errors decreased at larger sample sizes. Parameter estimates were more sensitive to nonnormality than to sample size and estimation method. Chi-square was the least robust model fit index compared with Normed Fit Index, Nonnormed Fit Index, and Comparative Fit Index. Sample sizes of 100 ...read more
Citations
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Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research
TL;DR: Partial least squares (PLS) is an evolving approach to structural equation modeling (SEM), highlighting its advantages and limitations and providing an overview of recent research on the method across various fields as discussed by the authors.
Journal ArticleDOI
Structural equations modeling: Fit Indices, sample size, and advanced topics
TL;DR: In this paper, the second part of two parts intended to serve as a primer for structural equations models for the behavioral researcher is presented. And the first article introduced the basics: the measurement model, the structural model, and the combined, full structural equations model.
Journal ArticleDOI
Basic psychological need satisfaction, need frustration, and need strength across four cultures
Beiwen Chen,Maarten Vansteenkiste,Wim Beyers,Liesbet Boone,Edward L. Deci,Jolene van der Kaap-Deeder,Bart Duriez,Willy Lens,Lennia Matos,Athanasios Mouratidis,Richard M. Ryan,Kennon M. Sheldon,Bart Soenens,Stijn Van Petegem,Joke Verstuyf +14 more
TL;DR: This article investigated whether satis- faction and frustration of the psychological needs for autonomy, relatedness, and competence, as identified within Basic Psychological Need Theory (BPNT), contributes to participants' well-being and ill-being, regardless of their cultural back- ground and interpersonal differences in need strength, as indexed by either need valuation (i.e., the stated importance of the need to the person) or need desire (e.g., the desire to get a need met).
Posted Content
Using Partial Least Squares in Operations Management Research: A Practical Guideline and Summary of Past Research
David Xiaosong Peng,Fujun Lai +1 more
TL;DR: This study provides a practical guideline for evaluating and using PLS and uses examples from the operations management literature to demonstrate how the specific points in this guideline can be applied.
Journal ArticleDOI
Using Partial Least Squares in Operations Management Research: A Practical Guideline and Summary of Past Research
David Xiaosong Peng,Fujun Lai +1 more
TL;DR: In this article, the authors present a practical guideline for evaluating and using PLS that is tailored to the operations management field and use examples from operations management literature to demonstrate how the specific points in this guideline can be applied.
References
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Journal ArticleDOI
A Beginner's Guide to Structural Equation Modeling
TL;DR: The book does a good job explaining some fundamental computational methods in statistics and econometrics and will serve students well as a reference book for upper-level undergraduate courses or graduate courses in computational statistics, time series analysis, or econometric methods.
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Assessing Reliability and Stability in Panel Models
Journal ArticleDOI
Evaluation of goodness-of-fit indices for structural equation models
Stanley A. Mulaik,Lawrence R. James,Judith Van Alstine,Nathan Bennett,Sherri Lind,C. Dean Stilwell +5 more
TL;DR: In this article, the authors evaluate the use of goodness-of-fit indices for the assessment of the fit of structural equation models to data and assess their strengths and weaknesses, and discuss less biased estimates of goodness of fit and a relative normedfit index for testing fit of a structural model exclusive of the measurement model.
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A comparison of some methodologies for the factor analysis of non‐normal Likert variables
Bengt Muthén,David E. Kaplan +1 more
TL;DR: In this paper, a Monte Carlo study is conducted where five prototypical cases of non-normal variables are generated and two normal theory estimators, ML and GLS, are compared to Browne's (1982) ADF estimator.
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Monte Carlo Evaluations of Goodness of Fit Indices for Structural Equation Models
TL;DR: A review of goodness-of-fit indices for structural equation models and the Monte Carlo studies that have empirically assessed their distributional properties can be found in this paper, where a more complete understanding of their properties and suitability requires further research.