PSYCH 3090 Lecture Notes - Lecture 37: Psych
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In chapter 18, we had one iv (with k levels (independent variable): exposure to aggression (k = 3, drug/therapy treatment (k = 4) Main effect due to time of day (raw factor) Main effect due to distraction (column factor) Examples of other factorial designs: this is a 2 x 2 factorial anova, two levels of one iv (therapy condition, two levels of another iv (drug condition) 2 x 3 factorial anova: two levels of one iv (sex of the employee, three levels of another iv (engaging in altruistic behavior) In addition to main effects in factorial designs, we can examine interactions. Instead of examining the effects of independent variables in separate studies, the effects can be studied in the same study: the combined effects (i. e. , interaction effects) can be studied. Hypotheses: main effect for the row factor. = r3 o: ha is that population row means are not equal, main effect for the column factor.
