Showing posts with label gllamm. Show all posts
Showing posts with label gllamm. Show all posts

Using LISREL for Structural Equation Modeling: A Researcher's Guide Review

Using LISREL for Structural Equation Modeling: A Researcher's Guide
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In teaching structural equation modeling in a doctoral-level graduate class, I found Kelloway's book one of the most useful resources. Despite its title, the book is not only about LISREL. The initial chapters provide an excellent overview of the science (and art) of structural equation modeling. Kelloway provides probably a better summary than most other books on the topic.

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Latent Variable Models: An Introduction to Factor, Path, and Structural Equation Analysis Review

Latent Variable Models: An Introduction to Factor, Path, and Structural Equation Analysis
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I read this book's earlier edition so that I know this book is a good one. I bought a kindle version of it and found that the 4th edition is meeting my expectation. Only troubling issue that I found from this kindle version is that the data cd coming with a paper version of this book is missing in kindle version. Neither the publisher nor the amazon.com provide a link to the data cd. My complain to amazon.com is that they didn't inform their customer about this.

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Generalized Latent Variable Modeling: Multilevel, Longitudinal, and Structural Equation Models Review

Generalized Latent Variable Modeling: Multilevel, Longitudinal, and Structural Equation Models
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This book provides well-written, comprehensive coverage of latent variable modeling. Suitable for a masters level (or preferably, a Ph.D.) statistician. Not suitable for someone with a few intro stat courses. Presents multilevel, longitudinal and structural equation modeling and factor analysis using a unified framework, which is both a help (better insights, easier to extend conceptually) and a hindrance (complex when one first tries to understand it). Includes many examples, which makes it much easier to apply these techniques to real life data analysis problems. Practically an encyclopedia of statistical models.

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