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Structural Equation Modeling With Lisrel, Prelis, and Simplis: Basic Concepts, Applications, and Programming
Contributor(s): Byrne, Barbara M. (Author)
ISBN: 0805829245     ISBN-13: 9780805829242
Publisher: Psychology Press
OUR PRICE:   $161.50  
Product Type: Hardcover - Other Formats
Published: March 1998
Qty:
Annotation: 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.
Additional Information
BISAC Categories:
- Mathematics | Probability & Statistics - Multivariate Analysis
- Psychology | Research & Methodology
Dewey: 519.535
LCCN: 97049492
Lexile Measure: 1400
Series: Multivariate Applications Book
Physical Information: 1.24" H x 6.36" W x 9.24" (1.80 lbs) 426 pages
 
Descriptions, Reviews, Etc.
Publisher 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.