Covariance Structure Models : An Introduction to Lisrel

J. Scott Long

ISBN 10: 0803920458 / ISBN 13: 9780803920453

Published by Sage Publications, 1983

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - While many readers may be unfamiliar with the full complexity of the covariance structure model, many may have mastered at least one of its two components, each of which is a powerful and well-known statistical technique in its own right. The first is the confirmatory factor model frequently used in psychometrics; the second, the structural equation model, is familiar to econometricians. The discussion in this volume will be particularly useful for estimating models with equality constraints and correlated errors across some but not all equations. The final chapter includes a guide to appropriate software packages.

Seller Inventory # 9780803920453

Bibliographic Details

• Title: Covariance Structure Models : An Introduction to Lisrel
• Publisher: Sage Publications
• Publication Date: 1983
• Language: English
• ISBN 10: 0803920458
• ISBN 13: 9780803920453
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 216W x 140H x 6D millimeters 216 millimeters width by 140 millimeters height by 6 millimeters depth
• Weight: 133 grams

About this title

Synopsis

Building directly on confirmatory factor analysis, Long presents a measurement model (drawn from psychometrics) and a structural equation model (drawn from econometrics) that, together, comprise the LISREL covariance structure model.

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.