Multilevel Analysis

Techniques and Applications, Third Edition

Nonfiction, Reference & Language, Education & Teaching, Teaching, Statistics, Health & Well Being, Psychology, Social & Cultural Studies, Social Science
Cover of the book Multilevel Analysis by Joop J. Hox, Mirjam Moerbeek, Rens van de Schoot, Taylor and Francis
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Author: Joop J. Hox, Mirjam Moerbeek, Rens van de Schoot ISBN: 9781317308676
Publisher: Taylor and Francis Publication: September 14, 2017
Imprint: Routledge Language: English
Author: Joop J. Hox, Mirjam Moerbeek, Rens van de Schoot
ISBN: 9781317308676
Publisher: Taylor and Francis
Publication: September 14, 2017
Imprint: Routledge
Language: English

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.

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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.

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