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IBM SPSS Statistics 26 Step by Step
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Table of Contents

Preface

1. An Overview of IBM (R) SPSS (R) 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 2 Analyses

9. The Means Procedure

10. Bivariate Correlation

11. The t Test Procedure

12. The One-Way ANOVA Procedure

13. General Linear Model: Two-Way ANOVA

14. General Linear Model: 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

Data Files Glossary References Credits Index

About the Author

Darren George is a Professor of Psychology at Burman University whose research focuses on intimate relationships and optimal performance. He teaches classes in research methodology, statistics, personality/social psychology, and sport and performance psychology. Paul Mallery is a Professor of Psychology at La Sierra University whose research focuses on the intersection of religion and prejudice. He teaches classes is research methodology, statistics, social psychology, and political psychology.

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