Buch, Englisch, 392 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 544 g
Techniques and Applications, Second Edition
Buch, Englisch, 392 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 544 g
Reihe: Quantitative Methodology Series
ISBN: 978-1-84872-846-2
Verlag: Taylor & Francis
Highlights of the second edition include:
- Two new chapters—one on multilevel models for ordinal and count data (Ch. 7) and another on multilevel survival analysis (Ch. 8).
- Thoroughly updated chapters on multilevel structural equation modeling that reflect the enormous technical progress of the last few years.
- The addition of some simpler examples to help the novice, whilst the more complex examples that combine more than one problem have been retained.
- A new section on multivariate meta-analysis (Ch. 11).
- Expanded discussions of covariance structures across time and analyzing longitudinal data where no trend is expected.
- Expanded chapter on the logistic model for dichotomous data and proportions with new estimation methods.
- An updated website at http://www.joophox.net/ with data sets for all the text examples and up-to-date screen shots and PowerPoint slides for instructors.
Ideal for introductory courses on multilevel modeling and/or ones that introduce this topic in some detail taught in a variety of disciplines including: psychology, education, sociology, the health sciences, and business. The advanced extensions also make this a favorite resource for researchers and methodologists in these disciplines. A basic understanding of ANOVA and multiple regression is assumed. The section on multilevel structural equation models assumes a basic understanding of SEM.
Autoren/Hrsg.
Fachgebiete
- Sozialwissenschaften Soziologie | Soziale Arbeit Soziologie Allgemein Empirische Sozialforschung, Statistik
- Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Datenanalyse, Datenverarbeitung
- Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Forschungsmethodik, Wissenschaftliche Ausstattung
Weitere Infos & Material
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. Advanced Issues in Estimation and Testing. 14. Multilevel Factor Models. 15. Multilevel Path Models. 16. Latent Curve Models.