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Multilevel Analysis: Techniques and Applications, Third Edition (Quantitative Methodology Series)

Multilevel Analysis: Techniques and Applications, Third Edition (Quantitative Methodology Series)

Multilevel Analysis: Techniques and Applications, Third Edition (Quantitative
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Multilevel Analysis: Techniques and Applications, Third Edition (Quantitative Methodology Series) Paperback - 2017 - 3rd Edition

by Joop Hox

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  • Title Multilevel Analysis: Techniques and Applications, Third Edition (Quantitative Methodology Series)
  • Author Joop Hox
  • Binding Paperback
  • Edition number 3rd
  • Edition 3
  • Condition New
  • Pages 348
  • Volumes 1
  • Language ENG
  • Publisher Routledge
  • Publication date 2017-11-01
  • Illustrated Yes
  • Features Bibliography, Illustrated, Index
  • Bookseller's Inventory # 26999794-n
  • ISBN 9781138121362 / 1138121363
  • Weight 1.1 lbs (0.50 kg)
  • Dimensions 8.9 x 5.9 x 0.8 in (22.61 x 14.99 x 2.03 cm)
  • Reading level 1370
  • Category Psychology
  • Library of Congress subjects Social sciences - Statistical methods, Regression analysis
  • Library of Congress Catalogue Number 2017013032
  • Dewey Decimal Code 001.422
  • Quantity available 5

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From the publisher

Applauded for its clarity, this accessible introduction helps readers apply multilevel techniques to their research. The book also includes advanced extensions, making it useful as both an introduction for students and as a reference for researchers. Basic models and examples are discussed in nontechnical terms with an emphasis on understanding the methodological and statistical issues involved in using these models. The estimation and interpretation of multilevel models is demonstrated using realistic examples from various disciplines including psychology, education, public health, and sociology. Readers are introduced to a general framework on multilevel modeling which covers both observed and latent variables in the same model, while most other books focus on observed variables. In addition, Bayesian estimation is introduced and applied using accessible software.

About the author

Joop J. Hox is Emeritus Professor of Social Science Methodology at Utrecht University, the Netherlands.

Mirjam Moerbeek is Associate Professor of Statistics for the Social Sciences at Utrecht University, the Netherlands.

Rens van de Schoot is an Associate Professor of Bayesian Statistics at Utrecht University, the Netherlands, and Extra-Ordinary Professor at the North-West University, South Africa.

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