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Stats Apps Tutorials: 27. Nonparametric analysis in R
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Stats Apps Tutorials: 25. Nonparametric analysis in SPSS
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Stats Apps Tutorials: 26. Nonparametric analysis in JASP
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Stats Apps Tutorials: 24. Binary logistic regression in SPSS, JASP, and R
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Stats Apps Tutorials: 23. How to run Linear Mixed Effects Models in SPSS, JASP, and R
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Stats Apps Tutorials: 22. Repeated measures ANOVA, 2-way ANOVA, and mixed models in R
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Stats Apps Tutorials: 21. Repeated measures ANOVA, 2-way ANOVA, and mixed models in SPSS
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Stats Apps Tutorials: 19. One-way ANOVA in R and interpreting the output
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Stats Apps Tutorials: 18. Running and interpreting one-way ANOVA in SPSS
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Stats Apps Tutorials: 17. Running a one-way ANOVA in JASP and interpreting the output
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13:13
Stats Apps Tutorials: 16. One-way ANOVA in Excel (by hand)
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Stats Apps Tutorials: 15. Regression diagnostics in Excel, SPSS, JASP, and R
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Stats Apps Tutorials: 14. Multiple regression in Excel, SPSS, JASP, and R
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Stats Apps Tutorials: 13. Linear regression in SPSS, Excel, JASP, and R
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Stats Apps Tutorials: 12. Correlation analysis in Excel, SPSS, JASP, and R
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Stats Apps Tutorials: 11. Using G*Power to determine required sample size
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Stats Apps Tutorials: 10. Are your data normally distributed? Outliers? What next?
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Stats Apps Tutorials: 9. Effect sizes for t-tests in JASP, Excel, and R
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Stats Apps Tutorials: 8. Paired t-tests in Excel, SPSS, JASP, and R
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Stats Apps Tutorials: 7. Independent t-tests in Excel, SPSS, JASP, and R
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Stats Apps Tutorials: 6. Data transformations in Excel, SPSS, and R
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Stats Apps Tutorials: 4. Descriptive statistics in R and RStudio
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Stats Apps Tutorials: 3. Basic descriptive statistics in Excel
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Stats Apps Tutorials: 1. Excel basics
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How to access University of Ottawa StudentLabs Service
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End of Videos