9781138012493-1138012491-Structural Equation Modeling With Lisrel, Prelis, and Simplis (Multivariate Applications Series)

Structural Equation Modeling With Lisrel, Prelis, and Simplis (Multivariate Applications Series)

ISBN-13: 9781138012493
ISBN-10: 1138012491
Edition: 1
Author: Barbara M. Byrne
Publication date: 2014
Publisher: Routledge
Format: Paperback 426 pages
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Book details

ISBN-13: 9781138012493
ISBN-10: 1138012491
Edition: 1
Author: Barbara M. Byrne
Publication date: 2014
Publisher: Routledge
Format: Paperback 426 pages

Summary

Structural Equation Modeling With Lisrel, Prelis, and Simplis (Multivariate Applications Series) (ISBN-13: 9781138012493 and ISBN-10: 1138012491), written by authors Barbara M. Byrne, was published by Routledge in 2014. With an overall rating of 4.3 stars, it's a notable title among other Research (Psychology & Counseling) books. You can easily purchase or rent Structural Equation Modeling With Lisrel, Prelis, and Simplis (Multivariate Applications Series) (Paperback) from BooksRun, along with many other new and used Research books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

This book illustrates the ease with which various features of LISREL 8 and PRELIS 2 can be implemented in addressing research questions that lend themselves to SEM. Its purpose is threefold: (a) to present a nonmathmatical introduction to basic concepts associated with SEM, (b) to demonstrate basic applications of SEM using both the DOS and Windows versions of LISREL 8, as well as both the LISREL and SIMPLIS lexicons, and (c) to highlight particular features of the LISREL 8 and PRELIS 2 progams that address important caveats related to SEM analyses.

This book is intended neither as a text on the topic of SEM, nor as a comprehensive review of the many statistical funcitons available in the LISREL 8 and PRELIS 2 programs. Rather, the intent is to provide a practical guide to SEM using the LISREL approach. As such, the reader is "walked through" a diversity of SEM applications that include both factor analytic and full latent variable models, as well as a variety of data management procedures.

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