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Structural Equations with Latent Variables
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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.Abstract:
Model Notation, Covariances, and Path Analysis. Causality and Causal Models. Structural Equation Models with Observed Variables. The Consequences of Measurement Error. Measurement Models: The Relation Between Latent and Observed Variables. Confirmatory Factor Analysis. The General Model, Part I: Latent Variable and Measurement Models Combined. The General Model, Part II: Extensions. Appendices. Distribution Theory. References. Index.read more
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Journal ArticleDOI
An assessment of the use of partial least squares structural equation modeling in marketing research
Joseph F. Hair,Marko Sarstedt,Marko Sarstedt,Christian M. Ringle,Christian M. Ringle,Jeannette A. Mena +5 more
TL;DR: An extensive search in the 30 top ranked marketing journals allowed us to identify 204 PLS-SEM applications published in a 30-year period (1981 to 2010), and a critical analysis of these articles addresses the following key methodological issues: reasons for using PLS, data and model characteristics, outer and inner model evaluations, and reporting.
Book ChapterDOI
The use of partial least squares path modeling in international marketing
TL;DR: In this article, the authors conducted an exhaustive literature review to determine the status quo of PLS path modeling in international marketing research and found that more than 30 academic articles in the domain of international marketing used PLS as a means of statistical analysis.
Journal ArticleDOI
A Critical Review of Construct Indicators and Measurement Model Misspecification in Marketing and Consumer Research
TL;DR: A set of conceptual criteria is developed that can be used to determine whether a construct should be modeled as having formative or reflective indicators, and an estimate of the extent of measurement model misspecification in the field is estimated.
Journal ArticleDOI
In Search of Golden Rules: Comment on Hypothesis-Testing Approaches to Setting Cutoff Values for Fit Indexes and Dangers in Overgeneralizing Hu and Bentler's (1999) Findings
TL;DR: Hu and Bentler as mentioned in this paper proposed a more rigorous approach to evaluating decision rules based on GOF indexes and, on this basis, proposed new and more stringent cutoff values for many indexes.
Journal ArticleDOI
Issues and opinion on structural equation modeling
TL;DR: In the past few years, the IS field has seen a substantial increase in the number of submissions and publications using structural equation modeling techniques, which has led some to describe this approach as an example of “a second generation of multivariate analysis”.
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