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Introduction
About the Book
Acknowledgements
Accessibility
1. Muddled Max's New Study
2. The Research Process
3. The Experiment
4. Descriptive vs. Inferential Statistics
5. Central Tendency, Dispersion, and Shape
6. Inferential Statistics 101
7. In Practice: Statistics
8. Overview of jamovi
9. Getting Started with jamovi
10. Describing Data
11. Visualizing Data
12. Power and Effect Size
13. In Practice: Sample Size Determination
14. Reproducible Research
15. Designing the Two-Sample Experiment
16. t-Tests
17. Assumptions of the t-Test
18. In Practice: t-Tests
19. Alternatives to the t-Test
20. When and Why Do We Use ANOVA?
21. Theory of ANOVA
22. Follow-Up Tests
23. In Practice: One-Way ANOVA
24. Alternatives to the One-Way ANOVA
25. Repeated Measures Design
26. Theory of One-Way Repeated Measures ANOVA
27. Assumptions of Repeated Measures Designs
28. In Practice: Repeated Measures ANOVA
29. Alternatives to the Repeated Measures ANOVA
30. What is a Factorial Design?
31. Two-Way ANOVA
32. In Practice: Two-Way ANOVA
33. Mixed ANOVAs
34. Three-Way ANOVA
35. Analysis of Covariance
36. Correlational Design
37. What is r?
38. In Practice: Pearson's Correlation Coefficient
39. Introduction to Regression
40. Fit of the Regression Model
41. In Practice: Regression
42. Extending the Regression Model: Multiple Regression
43. Chi-Square
44. Chi-Square Goodness of Fit
45. Chi-Square Test of Independence
46. McNemar's Test
References
Glossary
Adoption Form
Most of this chapter is based on “Statistics with jamovi” by Dana Wanzer, with some minor changes .
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Research Methods and Statistics with jamovi Copyright © 2024 by Catharine Ortner, Thompson Rivers University Open Press is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License, except where otherwise noted.