1. Introduction 2. Statistical Power 3. Power of Confidence Interval 4. Analysis of Variance 5. Linear Regression 6. Multivariate Analysis 7. Multi-level Models 8. Complex Multi-level Models 9. Meta-analysis 10. Structural Equation Models 11. Longitudinal Studies Appendix A. Cumulative Distribution Function for t, F, or x Appendix B. R Tutorial

Xiaofeng Steven Liu is an Associate Professor at the University of South Carolina.

This book demonstrates the application of power analysis to the newer more advanced techniques such as hierarchical linear modeling, meta-analysis, and structural equation modeling used in behavioral and social science research. It reviews both basic and advanced designs. Examples demonstrate power analysis through the use of R, SAS, and SPSS and show readers how to produce power tables when preparing a grant proposal. The corresponding computer code is available on the book's website along with a user guide and additional worked examples. The chapters closely parallel the coverage of graduate courses on research methodology/design making this an ideal supplement for such courses.