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Multilevel and Longitudinal Modeling Using Stata, Second Edition

Multilevel and Longitudinal Modeling Using Stata, Second Edition

Multilevel and Longitudinal Modeling Using Stata, Second Edition
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Multilevel and Longitudinal Modeling Using Stata, Second Edition Paperback - 2008 - 2nd Edition

by Rabe-Hesketh, Sophia; Skrondal, Anders

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Stata Press, 2008-02-07. paperback. Acceptable. 7x1x9.
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Details

  • Title Multilevel and Longitudinal Modeling Using Stata, Second Edition
  • Author Rabe-Hesketh, Sophia; Skrondal, Anders
  • Binding Paperback
  • Edition number 2nd
  • Edition 2
  • Condition Used - Acceptable
  • Pages 562
  • Volumes 1
  • Language ENG
  • Publisher Stata Press
  • Publication date 2008-02-07
  • Illustrated Yes
  • Bookseller's Inventory # 1597180408-4-32891007
  • ISBN 9781597180405 / 1597180408
  • Weight 2.59 lbs (1.17 kg)
  • Dimensions 9.26 x 7.27 x 1.41 in (23.52 x 18.47 x 3.58 cm)
  • Size 7x1x9
  • Category Mathematics
  • Library of Congress subjects Latent variables, Latent structure analysis
  • Library of Congress Catalogue Number 2009419524
  • Dewey Decimal Code 519.535
  • Quantity available 1

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From the publisher

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 data sets.

The authors teach multilevel and longitudinal modeling at their universities and frequently hold workshops at international conferences. They have been developing a general modeling framework, GLLAMM, and Stata software gllamm for multilevel and latent variable modeling. This work has been published in their highly acclaimed book Generalized Latent Variable Modeling: Multilevel, Longitudinal, and Structural Equation Models and in many journals, including Biometrics, Psychometrika, Journal of Econometrics, and Journal of the Royal Statistical Society.

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