IBM SPSS for intermediate statistics: use and interpretation

"Designed to help readers analyze and interpret research data using IBM SPSS, this user-friendly book shows readers how to choose the appropriate statistic based on the design; perform intermediate statistics, including multivariate statistics; interpret output; and write about the results. The book reviews research designs and how to assess the accuracy and reliability of data; how to determine whether data meet the assumptions of statistical tests; how to calculate and interpret effect sizes for intermediate statistics, including odds ratios for logistic analysis; how to compute and interpret post-hoc power; and an overview of basic statistics for those who need a review. Unique chapters on multilevel linear modeling; multivariate analysis of variance (MANOVA); assessing reliability of data; multiple imputation; mediation, moderation, and canonical correlation; and factor analysis are provided. SPSS syntax with output is included for those who prefer this format."--The publisher.

Includes index.

1. Introduction -- 2. Data Coding and Exploratory Analysis (EDA) -- 3. Several Measures of Reliability -- 4. Exploratory Factor Analysis and Principal Components Analysis -- 5. Selecting and Interpreting Inferential Statistics -- 6. Multiple Regression -- 7. Mediation, Moderation, and Canonical Correlation -- 8. Logistic Regression and Discriminant Analysis -- 9. Factorial ANOVA and ANCOVA -- 10. Repeated-Measures and Mixed ANOVAs -- 11. Multivariate Analysis of Variance (MANOVA) -- 12. Multilevel Linear Modeling/Hierarchical Linear Modeling -- 13. Missing Data and Multiple Imputation -- A. Getting Started With SPSS and Other Useful Procedures -- B. Review of Basic Statistics -- C. Writing Research Problems and Questions -- D. Answers to Odd Interpretation Questions.