Confirmatory Factor Analysis - A Preface to Lisrel

Informationen zum Autor 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. Klappentext A statistical method which will appeal to two groups in particular: those who are currently using the more traditional technique of exploratory factor analysis; and those who are interested in the analysis of covariance structures, commonly known as the LISREL model. The first group will find that this technique may be more appropriate to the analysis of their research problems; while the second group will find that confirmatory factor analysis is a useful first step to understanding the LISREL model, for this book, and its companion volume, Covariance Structure Models, are designed to be read consecutively. The proofs presented are simple, but the reader must feel comfortable with matrix algebra in order to understand the model.

Product details

• Authors: J. (John) Scott Long, J. Scott Long, J.scott Long, John Scott Long
• Publisher: Sage Publications Ltd
• Languages: English
• Product format: Paperback / Softback
• Released: 07.12.1983
• EAN: 9780803920446
• ISBN: 978-0-8039-2044-6
• No. of pages: 88
• Series: Quantitative Applications in t; Quantitative Applications in the Social Sciences; Quantitative Applications in t
• Subjects: Natural sciences, medicine, IT, technology; Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics