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OLS Field Name OLS Field Data
Main Title Multilevel and longitudinal modeling using Stata /
Author Rabe-Hesketh, S.,
Other Authors
Author Title of a Work
Skrondal, Anders,
Publisher Stata Press Publication,
Year Published 2012
OCLC Number 787853271
ISBN 9781597181082; 1597181080; 9781597181037; 159718103X; 9781597181044; 1597181048
Subjects Latent variables. ; Latent structure analysis. ; Mathematical statistics--Data processing. ; Linear models (Statistics) ; Multilevel models (Statistics) ; Computers and IT. ; Longitudinal Studies. ; Multilevel Analysis.
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
EKBM  QA278.6.R33 2012 v. 2 Research Triangle Park Library/RTP, NC 10/15/2019
EKBM  QA278.6.R33 2012 v. 1 Research Triangle Park Library/RTP, NC 10/15/2019
Edition 3rd ed.
Collation 2 volumes (xxx, xxiii, 974 pages) : illustrations ; 24 cm
Notes
First edition published as: Generalized latent variable modeling : multilevel, longitudinal and structural equation models / Anders Skrondal, Sophia Rabe-Hesketh. Includes bibliographical references (pages 941-953) and indexes.
Contents Notes
v. 1. Continuous responses -- v. 2. Categorical responses, counts, and survival. "Multilevel and Longitudinal Modeling Using Stata, Third Edition, discusses regression modeling of clustered or hierarchical data, such as data on students nested in schools, patients nested in hospitals, or employees nested 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. Across volume, the 16 chapters and 144 exercises are based on the 110 data sets that span a wide range of disciplines, making the book suitable for courses in the medical, social, and behavioral sciences, and in applied statistics. The first volume is dedicated to models for continuous responses and is a prerequisite for the second volume on models for other response types. It contains two new chapters on longitudinal data, several new exercises and data sets, and has been thoroughly revised and updated for Stata 12. Following volume I on models for continuous responses, the second volume covers models for all other important response types: binary, ordinal, and nominal (discrete choice) responses; counts; and discrete-time and continuous-time survival (durations). It contains three new chapters, several new exercises and data sets, and has been thoroughly revised and updated for Stata 12"--Covers.