Analysis of Variance

For non-parametric alternatives to the one-way ANOVAs for independent and correlated samples, see the Kruskal-Wallis Test and the Friedman
Test under 'Ordinal Data.' |

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The design can be either for independent samples or correlated samples (repeated measures or randomized blocks). This unit will also perform pair-wise comparisons of sample means via the Tukey HSD test.

Two-Way Factorial ANOVA for Independent Samples, for up to four rows by four columns. This unit will also calculate the critical values of Tukey's HSD for purposes of post-ANOVA comparisons. Two-Factor ANOVA with Repeated Measures on One Factor, for designs in which there are 2-4 randomized blocks of matched subjects, with 2-4 repeated measures for each subject. Two-Factor ANOVA with Repeated Measures on Both Factors, for designs in which there are 2-4 levels of each of two variables, A and B, with each subject measured under each of the AxB combinations. 2x2x2 ANOVA for Independent Samples. For designs with three independent variables, A, B, and C, each with two levels. This situation yields 2x2x2=8 unique treatment combinations— a1b1c1, a1b1c2, and so forth— one for each of 8 independent samples of subjects. Orthogonal Latin Square Designs for n = j

4x4 5x5