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Routledge

Multilevel Analysis Techniques and Applications

Multilevel Analysis Techniques and Applications

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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.

Author: J. J. Hox,Mirjam Moerbeek,Rens van de Schoot

Publisher: Routledge
Publish Date: 2018
Edition: 3
ISBN: 1138121363
ISBN 13: 9781138121362
Dimension: Length: 6 inches, Width: 0.82 inches, Height: 9 inches
Weight: Weight: 1.543235834 pounds
Binding: Paperback
Pages: 347

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.

Author: J. J. Hox,Mirjam Moerbeek,Rens van de Schoot

Publisher: Routledge
Publish Date: 2018
Edition: 3
ISBN: 1138121363
ISBN 13: 9781138121362
Dimension: Length: 6 inches, Width: 0.82 inches, Height: 9 inches
Weight: Weight: 1.543235834 pounds
Binding: Paperback
Pages: 347