Multilevel Analysis

Multilevel Analysis : Techniques and Applications, Third Edition

3.86 (37 ratings by Goodreads)
By (author)  , By (author)  , By (author) 
3.86 (37 ratings by Goodreads)
Free delivery worldwide Expected delivery to the United States in 5-8 business days.

Not ordering to the United States? Click here.
Order now for expected delivery to the United States by Christmas Order now for expected delivery to the United States by Christmas

Description

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.
show more

Product details

  • Paperback | 348 pages
  • 152 x 229 x 20.32mm | 700g
  • ROUTLEDGE
  • London, United Kingdom
  • English
  • New edition
  • 3rd edition
  • 72 Tables, black and white; 75 Halftones, black and white
  • 1138121363
  • 9781138121362
  • 791,684

Table of contents

1. Introduction to Multilevel Analysis 2. The Basic Two-Level Regression Model. 3. Estimation and Hypothesis Testing in Multilevel Regression. 4. Some Important Methodological and Statistical Issues 5. Analyzing Longitudinal Data. 6. The Multilevel Generalized Linear Model for Dichotomous Data and Proportions. 7. The Multilevel Generalized Linear Model for Categorical and Count Data. 8. Multilevel Survival Analysis. 9. Cross-Classified Multilevel Models. 10. Multivariate Multilevel Regression Models. 11. The Multilevel Approach to Meta-Analysis. 12. Sample Sizes and Power Analysis in Multilevel Regression. 13. Assumptions and Robust Estimation Methods. 14. Multilevel Factor Models. 15. Multilevel Path Models. 16. Latent Curve Models. Appendices.
show more

About Mirjam Moerbeek

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.
show more

Rating details

37 ratings
3.86 out of 5 stars
5 27% (10)
4 41% (15)
3 24% (9)
2 8% (3)
1 0% (0)
Book ratings by Goodreads
Goodreads is the world's largest site for readers with over 50 million reviews. We're featuring millions of their reader ratings on our book pages to help you find your new favourite book. Close X