Discovering Structural Equation Modeling Using Stata - Couverture souple

Acock, Alan C.

Couverture souple

ISBN 10 : 1597181390 ISBN 13 : 9781597181396

Editeur : Stata Press, 2013

A propos du livre

Présentation de l'éditeur :

Discovering Structural Equation Modeling Using Stata, Revised Edition is devoted to Stata’s sem command and all it can do. Learn about its capabilities in the context of confirmatory factor analysis, path analysis, structural equation modeling, longitudinal models, and multiple-group analysis. Each model is presented along with the necessary Stata code, which is parsimonious, powerful, and can be modified to fit a wide variety of models. The datasets used are downloadable, offering a hands-on approach to learning.

A particularly exciting feature of Stata is the SEM Builder. This graphical interface for structural equation modeling allows you to draw publication-quality path diagrams and fit the models without writing any programming code. When you fit a model with the SEM Builder, Stata automatically generates the complete code that you can save for future use. Use of this unique tool is extensively covered in an appendix and brief examples appear throughout the text.

Biographie de l'auteur :

Alan C. Acock is a sociologist and a University Distinguished Professor in the School of Social and Behavioral Health Sciences at Oregon State University. He was also recognized as the Alumni Distinguished Professor based on his work with students. He has published more than 130 articles in leading journals across the social and behavioral sciences, including Structural Equation Modeling, Psychological Bulletin, Multivariate Behavioral Research, Journal of Gerontology, Journal of Adolescence, American Journal of Public Health, American Sociological Review, Journal of Marriage and Family, Social Forces, Educational and Psychological Measurement, Journal of Politics, Prevention Science, and American Journal of Preventive Medicine. He also authored the text A Gentle Introduction to Stata.

À propos de cette édition

• Éditeur: Stata Press
• Date d'édition: 2013
• ISBN 10: 1597181390
• ISBN 13: 9781597181396
• Reliure: Broché
• Nombre de pages: 306