Multilevel Analysis for Applied Research: It's Just Regression! (Methodology In The Social Sciences)

Description

This book provides a uniquely accessible introduction to multilevel modeling, a powerful tool for analyzing relationships between an individual-level dependent variable, such as student reading achievement, and individual-level and contextual explanatory factors, such as gender and neighborhood quality. Helping readers build on the statistical techniques they already know, Robert Bickel emphasizes the parallels with more familiar regression models, shows how to do multilevel modeling using SPSS, and demonstrates how to interpret the results. He discusses the strengths and limitations of multilevel analysis and explains specific circumstances in which it offers (or does not offer) methodological advantages over more traditional techniques. Over 300 dataset examples from research on educational achievement, income attainment, voting behavior, and other timely issues are presented in numbered procedural steps.

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1. Ebooks list page : 2002
2. Multilevel Analysis for Applied Research: It's Just Regression!
3. Multilevel Analysis for Applied Research: It's Just Regression!
4. Confirmatory Factor Analysis for Applied Research (Methodology In The Social Sciences)
5. Regression Analysis for Social Sciences
6. Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences, Third Edition
7. Dyadic Data Analysis (Methodology In The Social Sciences)
8. Data Analysis Using Regression and Multilevel/Hierarchical Models
9. Data Analysis Using Regression and Multilevel/Hierarchical Models
10. Data Analysis Using Regression and Multilevel/Hierarchical Models
11. Handbook of Longitudinal Research: Design, Measurement, and Analysis across the Social Sciences
12. Semiparametric Regression for the Social Sciences
13. Power Analysis for Experimental Research: A Practical Guide for the Biological, Medical and Social Sciences
14. Power Analysis for Experimental Research: A Practical Guide for the Biological, Medical and Social Sciences
15. Power Analysis for Experimental Research: A Practical Guide for the Biological, Medical and Social Sciences
16. Designing and Constructing Instruments for Social Research and Evaluation (Research Methods for the Social Sciences)