Multilevel and longitudinal modeling using stata - Info and Reading Options
By S. Rabe-Hesketh
"Multilevel and longitudinal modeling using stata" was published by Stata Press Publication in 2008 - College Station, Tex, it has 562 pages and the language of the book is English.
“Multilevel and longitudinal modeling using stata” Metadata:
- Title: ➤ Multilevel and longitudinal modeling using stata
- Author: S. Rabe-Hesketh
- Language: English
- Number of Pages: 562
- Publisher: Stata Press Publication
- Publish Date: 2008
- Publish Location: College Station, Tex
“Multilevel and longitudinal modeling using stata” Subjects and Themes:
- Subjects: ➤ Latent structure analysis - Latent variables - Social sciences, statistical methods - Social sciences, data processing - Statistics, data processing - Longitudinal method - Mathematical statistics - Data processing - Linear models (Statistics) - Multilevel models (Statistics) - Stata - Mathematical statistics--data processing - Data interpretation, statistical [mesh] - Qa276.4 .r334 2008 - Qa 278.6
Edition Specifications:
- Pagination: xxxiii, 562 p. :
Edition Identifiers:
- The Open Library ID: OL23399918M - OL1980043W
- Online Computer Library Center (OCLC) ID: 191245415
- Library of Congress Control Number (LCCN): 2009419524
- ISBN-13: 9781597180405
- ISBN-10: 1597180408
- All ISBNs: 1597180408 - 9781597180405
AI-generated Review of “Multilevel and longitudinal modeling using stata”:
"Multilevel and longitudinal modeling using stata" Description:
The Open Library:
"Multilevel and Longitudinal Modeling Using Stata, Second Edition discusses regression modeling of clustered or hierarchical data, such as data on students nested in schools, patients in hospitals, or employees in firms. Longitudinal data are also clustered with, for instance, repeated measurements on patients or several panel waves per survey respondent. Multilevel and longitudinal modeling can exploit the richness of such data and can disentangle processes operating at different levels." "Assuming some knowledge of linear regression, this bestseller explains models and their assumptions, applies methods to real data using Stata, and shows how to interpret the results. The applications and exercises span a wide range of disciplines, making the book suitable for courses on multilevel and longitudinal modeling in the medical, social, and behavioral sciences, and in applied statistics. This extensively revised second edition includes 3 new chapters, comprehensive updates for Stata 10, 38 new exercises, and 27 new datasets."--BOOK JACKET.
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