| Confirmatory Factor Analysis: A Preface to Lisrel Contributor(s): Long, J. Scott (Author), Sullivan, John L. (Introduction by) |
|
 |
ISBN: 080392044X ISBN-13: 9780803920446 Publisher: Sage Publications OUR PRICE: $39.90 Product Type: Paperback - Other Formats Published: September 1983 Annotation: Demonstrates how to use confirmatory factor analysis--a model that allows researchers to specify the relationships among observed and latent variables on the basis of substantive considerations rather than mathematical convenience. |
| Additional Information |
| BISAC Categories: - Mathematics | Probability & Statistics - Multivariate Analysis - Social Science | Research |
| Dewey: 519.535 |
| LCCN: 83050185 |
| Series: Quantitative Applications in the Social Sciences |
| Physical Information: 0.24" H x 5.42" W x 8.76" (0.28 lbs) 88 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: A statistical method that 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. 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. |
Contributor Bio(s): Long, John Scott: - 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.Long, J. (John) Scott: - 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. |