Mixed-Factorial ANOVA

In this conceptual video, I introduce the mixed-factorial analysis of variance (ANOVA), which is part of the ANOVA family analyses aimed at comparing means. A mixed-factorial ANOVA has at least one within-subjects predictor variable and at least one between-subjects predictor variable.
In the context of employee training evaluation, a mixed-factorial can be appropriate for evaluating a pre-test/post-test with control group design.
For an R tutorial where I demonstrate a statistically equivalent (but simpler) approach to analyzing data from a 2x2 mixed-factorial balanced design, please check out this video: • Evaluating 2x2 Mixed-F...
For a conceptual introduction to one-way ANOVA, please check out this video: • One-Way ANOVA
For an R tutorial on one-way ANOVA, please check out this video: • One-Way ANOVA in R
For a conceptual introduction to independent-samples t-test, please check out this video: • Independent-Samples t-...
For an R tutorial on independent-samples t-test, please check out this video: • Independent-Samples t-...
For a conceptual introduction to paired-samples t-test, please check out this video: • Paired-Samples t-test
For an R tutorial on paired-samples t-test, please check out this video: • Paired-Samples t-test ...