Testing Structural Equation Models.

Kenneth A. Bollen and J Scott Long [Editors].

ISBN 10: 080394506X / ISBN 13: 9780803945067

Published by Sage Publications Inc, Newbury Park, CA, 1993

About this Item

Fine in Wraps: binding square and secure; text clean. Virtually 'As New'. NOT a Remainder. NOT a Book-Club Edition. NOT an Ex-Library copy. 8vo. 320pp. (SAGE Focus Editions). First Ed thus, later printing. Academic Press Paperback. Seller Inventory # 29329

Bibliographic Details

Title: Testing Structural Equation Models.

Publisher: Sage Publications Inc, Newbury Park, CA

Publication Date: 1993

Binding: Paperback

Edition: First Ed thus, later printing.

About this title

Synopsis:

What is the role of fit measures when respecifying a model? Should the means of the sampling distributions of a fit index be unrelated to the size of the sample? Is it better to estimate the statistical power of the chi-square test than to turn to fit indices? Exploring these and related questions, well-known scholars examine the methods of testing structural equation models (SEMS) with and without measurement error, as estimated by such programs as EQS, LISREL and CALIS.

About the Author:

Scott Long is Distinguished Professor and Chancellor′s Professor of Sociology and Statistics at Indiana University, Bloomington. He teaches quantitative methods both at Indiana University and at the ICSPR Summer Program. His earlier research examined gender differences in the scientific career. In recent years, he has collaborated with Eliza Pavalko, Bernice Pescsolido, John Bancroft, Julia Heiman and others in studies of health and aging, stigma and mental health, and human sexuality.