Testing Structural Equation Models (SAGE Focus Editions) - Softcover

Softcover

ISBN 10: 0803945078 ISBN 13: 9780803945074

Publisher: SAGE Publications, Inc, 1993

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 this title

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.

About this edition

• Publisher: SAGE Publications, Inc
• Publication date: 1993
• ISBN 10: 0803945078
• ISBN 13: 9780803945074
• Binding: Paperback
• Edition number: 1
• Number of pages: 308
• Editor: Bollen Kenneth A., Long J. Scott