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This new edition of one of the most widely read textbooks in its field introduces the reader to data analysis with the most powerful and versatile statistical package on the market: IBM SPSS Statistics 19.

IBM SPSS Statistics 19 Made Simple

1. Introduction. 2. Getting Started with SPSS Statistics 19. 3. Editing Data Sets. 4. Describing and Exploring Your Data. 5. More On Graphs and Charts. 6. Comparing Averages: Two-sample and One-sample Tests. 7. The One-way ANOVA. 8. Between Subjects Factorial Experiments. 9. Within Subjects Experiments. 10. Mixed Factorial Experiments. 11. Measuring Statistical Association. 12. Regression. 13. The Analysis of Covariance (ANCOVA). 14. Analyses of Multiway Frequency Tables. 15. Predicting Category Membership: Logistic Regression. 16. The Search for Latent Variables: Factor Analysis.