A few days ago I posted a graph with very minimal details. I'm going to try to do a more considered analysis here.
The original post showed (binary, sorry) male and female survey respondents' answers to a question about how hard they thought it was for men to conform to societal norms, by self-reported political affiliation. There was a potentially large surprise with politically unaffiliated women and (smaller effect) Democrat women vs men. That "other" category for politics can hide some interesting things, so I split things a bit differently.
I pulled out the participants who indicated they were Democrat or Republican (or leaning that way, for participants who said Independent or Other; there was a follow-up question). Then I compared self-reported D vs R affiliation/leaning with who they said they voted for in 2024. This created two new categories:
- sayDvoteR: Self-identified as Democrat or Democrat-leaning but voted for Trump
- sayRvoteD: Self-identified as Republican or Republican-leaning but voted for Harris
I did one more thing, still preliminary: I created a "MAGA score" by averaging the z-scores of nine questions that seemed explicitly relevant to MAGA ideology or affilitation. They were questions about whether the killing of an Iranian Islamic leader was justified, if the US violated international law when invading Iran, how much participants trusted Trump as a source of climate information, and whether they were proud to be an American. This a priori group of items clustered pretty tightly with Dem and GOP Ss, and less so with others.
1/
#uspol #surveyresearch #survey #gender #maga