IBM SPSS Statistics 27 Step by Step: A Simple Guide and Reference, seventeenth edition, takes a straightforward, step-by-step approach that makes SPSS software clear to beginners and experienced researchers alike.
IBM SPSS Statistics 27 Step by Step: A Simple Guide and Reference, seventeenth edition, takes a straightforward, step-by-step approach that makes SPSS software clear to beginners and experienced researchers alike.
Darren George teaches at the University of Alabama. His 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 in research methodology, statistics, social psychology, and political psychology.
Inhaltsangabe
Preface; 1. An Overview of IBM® SPSS® 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. A Priori Power Analysis: What Sample Size Do I Need? 11. Bivariate Correlation 12. The t Test Procedure 13. The One-Way ANOVA Procedure 14. General Linear Model: Two-Way ANOVA 15. General Linear Model: Three-Way ANOVA 16. Simple Linear Regression 17. Multiple Regression Analysis 18. Nonparametric Procedures 19. Reliability Analysis 20. Multidimensional Scaling 21. Factor Analysis 22. Cluster Analysis 23. Discriminant Analysis 24. General Linear Models: MANOVA and MANCOVA 25. G.L.M.: Repeated-Measures MANOVA 26. Logistic Regression 27. Hierarchical Log-Linear Models 28. Nonhierarchical Log-Linear Models 29. Residuals: Analyzing Left-Over Variance; Data Files Glossary References
Preface; 1. An Overview of IBM® SPSS® 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. A Priori Power Analysis: What Sample Size Do I Need? 11. Bivariate Correlation 12. The t Test Procedure 13. The One-Way ANOVA Procedure 14. General Linear Model: Two-Way ANOVA 15. General Linear Model: Three-Way ANOVA 16. Simple Linear Regression 17. Multiple Regression Analysis 18. Nonparametric Procedures 19. Reliability Analysis 20. Multidimensional Scaling 21. Factor Analysis 22. Cluster Analysis 23. Discriminant Analysis 24. General Linear Models: MANOVA and MANCOVA 25. G.L.M.: Repeated-Measures MANOVA 26. Logistic Regression 27. Hierarchical Log-Linear Models 28. Nonhierarchical Log-Linear Models 29. Residuals: Analyzing Left-Over Variance; Data Files Glossary References
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