IBM SPSS Statistics 25 Step by Step (15^th Ed.)
A Simple Guide and Reference

IBM SPSS Statistics 25 Step by Step: A Simple Guide and Reference, fifteenth edition, takes a straightforward, step-by-step approach that makes SPSS software clear to beginners and experienced researchers alike. Extensive use of four-color screen shots, clear writing, and step-by-step boxes guide readers through the program. Exercises at the end of each chapter support students by providing additional opportunities to practice using SPSS.

This book covers both the basics of descriptive statistical analysis using SPSS through to more advanced topics such as multiple regression, multidimensional scaling and MANOVA, including instructions for Windows and Mac. This makes it ideal for both undergraduate statistics courses and for postgraduates looking to further develop their statistics and SPSS knowledge.

New to this edition:

• Updated throughout to SPSS 25
• Updated / restructured material on: Chart Builder; Univariate ANOVA; moderation on two- and three-way ANOVA; and Factor Analytic Techniques (formerly Factor Analysis structure)
• New material on computing z and T scores, and on computing z scores within descriptive statistics?
• Clearer in-chapter links between the type of data and type of research question that the procedure can answer
• Updated / additional datasets, exercises, and expanded Companion Website material, including Powerpoint slides for instructors

Preface

1. An Overview of IBM SPSS Statistics

2a. IBM SPSS Statistics Processes for PC

2b. IBM SPSS Statistics Processes for Mac

3. Creating and Editing a Data File

4. Managing Data

5. Graphs and Charts: Creating and Editing

6. Frequencies

7. Descriptive Statistics

8. Crosstabulation and χ2 Analyses

9. The Means Procedure

10. Bivariate Correlation

11. The t Test Procedure

12. The One-Way ANOVA Procedure

13. General Linear Models: Two-Way ANOVA

14. General Linear Models: Three-Way ANOVA

15. Simple Linear Regression

16. Multiple Regression Analysis

17. Nonparametric Procedures

18. Reliability Analysis

19. Multidimensional Scaling

20. Factor Analysis

21. Cluster Analysis

22. Discriminant Analysis

23. General Linear Models: MANOVA and MANCOVA

24. G.L.M.: Repeated-Measures MANOVA

25. Logistic Regression

26. Hierarchical Log-Linear Models

27. Nonhierarchical Log-Linear Models

28. Residuals: Analyzing Left-Over Variance

Darren George is a Professor of Psychology at Burman University (Alberta, Canada) whose research focuses on intimate relationships. He teaches classes in Personality and Social Psychology, research methods, and multivariate analysis.

Paul Mallery is a Professor of Psychology at La Sierra University whose research focuses on the intersection of religion and prejudice. He teaches classes in research methodology, statistics, social psychology, and political psychology.