Cross Validated Asked on November 26, 2021
Suppose I’m looking at gender differences across two scenarios (all respondents answered both scenarios) and I want to know whether the gap between men and women varies between scenarios. Suppose the "gap" (mean for men minus mean for women) in Scenario A is 5 and the gap in Scenario B is 3. What statistical test would I use to determine whether the gap in Scenario B is significantly smaller than the gap in Scenario A?
The classic approach to this problem is to use a split-plot ANOVA, that is, a 2 by 2 ANOVA with a between-subjects factor (sex) and a within-subjects factor (scenario). You get three F-tests from this, one for each main effect (sex and scenario) and one for the interaction (a difference-in-differences). Your interest is in the interaction. This is testing whether the effect of scenario differs between the sexes.
Answered by dbwilson on November 26, 2021
This depends on the underlying assumptions. Primarily distributional. Comparing means between groups could be done with analysis of variance which in the simplest case reduces to a T test. So you test your hypothesis that the effect difference is zero or not.
$H_0:mu_{scenario1}-mu_{scenario2}>=0$
$H_1:mu_{scenario1}-mu_{scenario2}<0$
Answered by BertHobe on November 26, 2021
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