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A First Course in Structural Equation Modeling
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TLDR
A First Course in Structural Equation Modeling as discussed by the authors is an excellent introductory book for structural equation modeling with examples from EQS, LISREL, and Mplus, which can be used to set up input files to fit the most commonly used types of structural equation models with these programs.Abstract:
In this book, authors Tenko Raykov and George A. Marcoulides introduce students to the basics of structural equation modeling (SEM) through a conceptual, nonmathematical approach. For ease of understanding, the few mathematical formulas presented are used in a conceptual or illustrative nature, rather than a computational one.Featuring examples from EQS, LISREL, and Mplus, A First Course in Structural Equation Modeling is an excellent beginner’s guide to learning how to set up input files to fit the most commonly used types of structural equation models with these programs. The basic ideas and methods for conducting SEM are independent of any particular software.Highlights of the Second Edition include:• Review of latent change (growth) analysis models at an introductory level• Coverage of the popular Mplus program• Updated examples of LISREL and EQS• Downloadable resources that contains all of the text’s LISREL, EQS, and Mplus examples.A First Course in Structural Equation Modeling is intended as an introductory book for students and researchers in psychology, education, business, medicine, and other applied social, behavioral, and health sciences with limited or no previous exposure to SEM. A prerequisite of basic statistics through regression analysis is recommended. The book frequently draws parallels between SEM and regression, making this prior knowledge helpful.read more
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Structural Equation Modeling and Natural Systems
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Confirmatory factor analysis with ordinal data: Comparing robust maximum likelihood and diagonally weighted least squares.
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In Search of Underlying Dimensions: The Use (and Abuse) of Factor Analysis in Personality and Social Psychology Bulletin
TL;DR: An examination of the use of exploratory and confirmatory factor analysis by researchers publishing in Personality and Social Psychology Bulletin over the previous 5 years is presented, along with a review of recommended methods based on the recent statistical literature as mentioned in this paper.
References
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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...
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Using multivariate statistics
TL;DR: In this Section: 1. Multivariate Statistics: Why? and 2. A Guide to Statistical Techniques: Using the Book Research Questions and Associated Techniques.
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The Structure of Scientific Revolutions
TL;DR: The Structure of Scientific Revolutions as discussed by the authors is a seminal work in the history of science and philosophy of science, and it has been widely cited as a major source of inspiration for the present generation of scientists.
Journal ArticleDOI
Alternative Ways of Assessing Model Fit
Michael W. Browne,Robert Cudeck +1 more
TL;DR: In this paper, two types of error involved in fitting a model are considered, error of approximation and error of fit, where the first involves the fit of the model, and the second involves the model's shape.