The second interaction contrast compares levels 1 and 2 of Factor A with levels 1 and 2 of Factor B. The significant F indicates that Washers and Seekers respondĭifferently at the two levels of Factor A. The first interaction contrast compares levels 1 and 2 of Factor A with levels 1 and 3 of Factor B. The following is an example of calculating interaction contrasts. In Factorial ANOVA, an F-statistic is calculated by dividing the variance of the group means by the mean of the within group variances. The F-distribution is related to Chi-Square. Interaction contrasts may also be illuminating. Calculating a Factorial ANOVA Factorial ANOVA works by using the F-distribution, which is an asymmetric distribution. The second partial interaction crosses Factor A with levels 1 and 3 of Factor B. There is no partial interaction here, i.e., Washers and Checkers respond identically to The first partial interaction crosses Factor A with levels 1 and 2 of Factor B. The following is an example of calculating partial
The Washers and Checkers, spaced ERP doesn't work at all.Īnother approach to analyzing the interaction is to calculate partial interactions and interaction contrasts. For the Seekers, spaced ERP works as well as massed ERP but for In summary, massed ERP works for everybody.
#Factorial anova spss how to
The Seekers are different: both massed and spaced ERP are better than no treatment,Īnd they are not different from each other. Two Way ANOVA What is MANOVA What is Factorial ANOVA How to run an ANOVA ANOVA vs. Treatment and spaced ERP, and spaced ERP is the same as no treatment. These comparisons show that the Washers and Checkers have the same outcome: massed ERP (exposure with response prevention) is better than both no All the simple effects are significant, so we do some comparisons to pinpoint the source of the significant Fs: These effects can also be tested in SPSS. The Brown-Forsythe test for homogeneity of variance:īecause the interaction is significant, we test the simple effects:
#Factorial anova spss full
You should probably expand your browser to full screen. This is the example we have been working on in class. Psychology 560: Factorial ANOVA (with interaction) Factorial ANOVA (with interaction)
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