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

Hox, Joop

ISBN 10: 1138121363 / ISBN 13: 9781138121362

Published by Routledge, 2018

About this Item

This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In fair condition, suitable as a study copy. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,650grams, ISBN:9781138121362.

Seller Inventory # 9799846

Bibliographic Details

• Title: Multilevel Analysis: Techniques and Applications (Third Edition) (Quantitative Methodology Series)
• Publisher: Routledge
• Publication Date: 2018
• Language: English
• ISBN 10: 1138121363
• ISBN 13: 9781138121362
• Binding: Soft cover
• Edition: 3rd Edition
• Condition: Fair
• Weight: 650 grams
• Seller catalogs:
  • Social Sciences

About this title

Synopsis

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.