Tim Urdan, author of Statistics in Plain English, demonstrates how to conduct a factorial ANOVA with post-hoc and simple effects tests using the R statistical software package.
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Research and Miller Library
Comparison of teachers in Greece and U.S.
Human Subjects IRB process at SCU
How to Read Appendix E (Fischer's Z transformation values) in Statistics in Plain English
How to Read Appendix G of Statistics in Plain English
Wilcoxon signed-rank test calculation by hand
Factorial ANOVA in R
Factor analysis in R
Reliability analysis in R
Repeated-measures/mixed-model ANOVA in R
Multiple regression in R
Chi-square test of independence in R
Descriptive statistics and an overview of R Studio
Independent t test in R
Oneway ANOVA in R
Dependent t test in R
Standard deviation calculation
Mann-Whitney U Test: How to Calculate by Hand
Mann-Whitney U Test on SSPS
Wilcoxon Signed-Rank Test on SSPS
Comparing Correlation Coefficients to test for Significant Differences
Kruskal-Wallis H Test on SSPS
How to Read Appendix H of Statistics in Plain English
Confidence Interval for Correlation Coefficient: How to Calculate and Interpret it
Cluster Analysis on SSPS: How to Conduct it and Interpret the Results