IBM SPSS for Intermediate Statistics: Use and Interpretation [Paperback]

IBM SPSS for Intermediate Statistics, sixth edition, is designed to help readers analyze and interpret research data using IBM SPSS.

1. Introduction 2. Getting Data Ready for Analysis: Data Collection, Coding, Exploration, and Transformation  3. Missing Data and Multiple Imputation  4. Selecting and Interpreting Inferential Statistics  5. Several Measures of Reliability  6. Factor Analysis and Principal Components Analysis  7. Multiple Regression  8. Mediation, Moderation, and Canonical Correlation  9. Logistic Regression and Discriminant Analysis  10. Factorial ANOVA and ANCOVA  11. Repeated-Measures and Mixed ANOVAs  12. Multivariate Analysis of Variance (MANOVA)  13. Multilevel Linear Modeling/Hierarchical Linear Modeling;  Appendices  A. Review of Basic Statistics by Marisha Lamont-Manfre and Patrick Munnelly  B. Writing Research Problems and Questions  C. Answers to Odd Interpretation Questions  D. For Further Reading

Karen C. Barrett is a Professor Emerita of Human Development and Family Studies at Colorado State University, USA.

Nancy L. Leech is a Professor of Research and Evaluation Methods in the School of Education and Human Development at the University of Colorado Denver, USA.

George A. Morgan is an Emeritus Professor of Education and Human Development at Colorado State University, USA.

IBM SPSS for Intermediate Statistics, Sixth Edition, is 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, inlS.