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Covariance Structure Models: An Introduction to Lisrel
Contributor(s): Long, J. Scott (Author), Long, J. Scott (Editor)
ISBN: 0803920458     ISBN-13: 9780803920453
Publisher: Sage Publications
OUR PRICE:   $39.90  
Product Type: Paperback - Other Formats
Published: September 1983
Qty:
Annotation: 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.
Additional Information
BISAC Categories:
- Social Science | Research
Dewey: 300.724
LCCN: 83050602
Series: Quantitative Applications in the Social Sciences
Physical Information: 0.29" H x 5.39" W x 8.5" (0.2 lbs) 96 pages
 
Descriptions, Reviews, Etc.
Publisher Description:

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.


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.