- ホーム
- > 洋書
- > 英文書
- > Psychology
Full Description
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 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 data sets 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 (Ch. 1)
Updated discussion of which effect sizes can be calculated for various programs in SPSS
Updated information on multiple regression methods (Ch. 7)
Updated chapter on how use a variable as a mediator or a moderator, using only SPSS (Ch. 8)
All chapters updated to include effect sizes that are available
Updated screens and outputs
Updated web resources for instructors, including PowerPoint slides, interpretation question and extra SPSS problem answers; and for students, data sets, and chapter outlines and study guides.
Contents
1. Introduction 2. Getting Data Ready for Analysis: Data Collection, Coding, Exploration, & 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 B. Writing Research Problems and Questions C. Answers to Odd Interpretation Questions D. For Further Reading
