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Structural Equation Modeling With Lisrel, Prelis, and Simplis - Basic Concepts, Applications, and Programming (Paperback) Loot Price: R1,634
Discovery Miles 16 340
Structural Equation Modeling With Lisrel, Prelis, and Simplis - Basic Concepts, Applications, and Programming (Paperback):...

Structural Equation Modeling With Lisrel, Prelis, and Simplis - Basic Concepts, Applications, and Programming (Paperback)

Barbara M. Byrne

Series: Multivariate Applications Series

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Loot Price R1,634 Discovery Miles 16 340 | Repayment Terms: R153 pm x 12*

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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.

General

Imprint: Psychology Press
Country of origin: United Kingdom
Series: Multivariate Applications Series
Release date: September 2014
First published: 1998
Authors: Barbara M. Byrne
Dimensions: 229 x 152 x 23mm (L x W x T)
Format: Paperback
Pages: 432
ISBN-13: 978-1-138-01249-3
Categories: Books > Reference & Interdisciplinary > Interdisciplinary studies > Cultural studies > General
Books > Social sciences > Sociology, social studies > Ethnic studies > Black studies
LSN: 1-138-01249-1
Barcode: 9781138012493

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