Joop Hox, Mirjam Moerbeek, Rens van de Schoot

Multilevel Analysis (eBook, ePUB)

Techniques and Applications, Third Edition

• Format: ePub

Produktbeschreibung

Applauded for its clarity, this accessible text helps readers apply multilevel techniques to their research. Hox introduces a general framework on multilevel modeling which covers both observed and latent variables in the same model. Basic models and examples are discussed in non-technical 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.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 364
• Erscheinungstermin: 14. September 2017
• Englisch
• ISBN-13: 9781317308676
• Artikelnr.: 49269214

Autorenporträt

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.

Inhaltsangabe

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.