Generalizing the Regression Model
Author | : Blair Wheaton |
Publisher | : SAGE Publications |
Total Pages | : 796 |
Release | : 2021-01-22 |
ISBN-10 | : 9781506342115 |
ISBN-13 | : 1506342116 |
Rating | : 4/5 (116 Downloads) |
Download or read book Generalizing the Regression Model written by Blair Wheaton and published by SAGE Publications. This book was released on 2021-01-22 with total page 796 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive text introduces regression, the general linear model, structural equation modeling, the hierarchical linear model, growth curve models, panel data, and event history models, and includes discussion of published implementations of each technique showing how it was used to address substantive and interesting research questions. It takes a step-by-step approach in the presentation of each topic, using mathematical derivations where necessary, but primarily emphasizing how the methods involved can be implemented, are used in addressing representative substantive problems than span a number of disciplines, and can be interpreted in words. The book demonstrates the analyses in STATA and SAS. Generalizing the Regression Model provides students with a bridge from the classroom to actual research practice and application.