PSYC 305 Lecture Notes - Lecture 11: Analysis Of Variance, Absolute Difference, Null Hypothesis
16 Feb 2017
School
Department
Course
Professor
Document Summary
Two factors of interest on the dependent variable. Interaction between the different levels of these two factors. Further analyses when two-way anova results are significant. If the number of levels of factor/iv > 2, post hoc comparison tests can be conducted. This means we compute more than two means at the same time for each factor. If these two values are greater than one, this means we are comparing more than two means at the same time. Post-hoc comparisons for main effects in two-way anova. H0r: r1 = r2 = = rr. H0c: c1 = c2 = = cc. If we reject these null hypotheses about main effects, we can perform post hoc comparisons to examine which pairs of row/column marginal means are different. One of the most active post-hoc comparison tests in the literature. Typically used if groups have equal sizes and all comparisons represent simple differences between two means. This test utilizes the studentized range statistic q:
