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-Factorial Design Usin...   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-test   For an R tutorial on independent-samples t-test, please check out this video:    • Independent-Samples t-test in R | Using th...   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 in R | Using the tte...