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Discovering Statistics Using IBM SPSS Statistics

by Andy Field

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Home » Chapter Specific Resources » 7. Non-parametric models » Labcoat Leni's real research

Chapter Specific Resources

1. Why is my evil lecturer forcing me to learn statistics?
2. The SPINE of statistics
3. The phoenix of statistics
4. The IBM SPSS Statistics environment
5. Exploring data with graphs
6. The beast of bias
7. Non-parametric models
8. Correlation
9. The Linear Model (Regression)
10. Comparing two means
11. Moderation, mediation and multicategory predictors
12: GLM 1: Comparing several independent means
13. GLM 2: Comparing means adjusted for other predictors (analysis of covariance)
14. GLM 3: Factorial designs
15. GLM 4: Repeated-measures designs
16. GLM 5: Mixed designs
17. Multivariate analysis of variance (MANOVA)
18. Exploratory factor analysis
19. Categorical outcomes: chi-squares and loglinear analysis
20: Categorical outcomes: logistic regression
21. Multilevel linear models

Labcoat Leni's real research from chapter 7

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