IBM SPSS for Intermediate Statistics, sixth edition, is designed to help readers analyze and interpret research data using IBM SPSS.
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, 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; how to compute and interpret post-hoc power; and includes 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; discriminant analyses; logistic regression; and factor analysis are provided. SPSS syntax is included for those who prefer this format. Pedagogical features include call-out boxes to highlight key points, interpretation sections and questions, realistic datasets for practice, and information on how to get started with SPSS, as well as appendices reviewing basic statistics, discussing how to write research questions, providing answers to the odd numbered interpretation questions, and providing references for further reading.
An ideal supplement for courses in either intermediate/advanced statistics or research methods taught in departments of psychology, education, and other social and health sciences, this book is also appreciated by researchers in these areas looking for a handy reference for SPSS commands and how to interpret SPSS outputs.
The new edition features:
- Updated for IBM SPSS version 29, but the book can be used with most other versions.
- More information on how to get started in SPSS (Chapter 1).
- Updated discussion of which effect sizes can be calculated for various programs in SPSS.
- Updated information on multiple regression methods (Chapter 7).
- Updated chapter on how to use a variable as a mediator or a moderator, using only SPSS (Chapter 8).
- All chapters updated to include effect sizes that are available.
- Updated screens and outputs.
- Updated web resources for instructors, including PowerPoint slides, interpretation questions, and extra SPSS problem answers; and for students, datasets, and chapter outlines and study guides.
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.
