Study: Trump supporters held more sexist views after his election than they did before

Authored by psypost.org and submitted by mvea
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Study: Trump supporters held more sexist views after his election than they did before

Supporters of Donald Trump scored slightly higher on a measure of “modern sexism” in the days after the 2016 election, according to research published in Social Psychological and Personality Science.

The study found that there was a increase in sexist beliefs among Trump supporters — but not among supporters of Hillary Clinton — after his victory, suggesting that a onetime historic event can result in measurable shifts in social attitudes.

“Our research idea emerged in the context of the political campaign leading up to the 2016 presidential election. This was the first presidential contest ever between a man and a woman in the U.S., and gender was thus at the forefront of the campaign’s debates,” said study author Oriane Georgeac, a PhD student at London Business School.

“In contrast with past work in psychology suggesting that social attitudes are rather stable and require much time to shift, we wanted to test whether a one-time, historical event such as the presidential election could change people’s attitudes towards women.”

For their study, the researchers surveyed 1,098 Americans a few days before the election and another 1,192 Americans a few days after the election. The participants shared their views on the prevalence of sexism, the gender pay gap, perceptions of gender inequality, perceptions of gender progress, and perceptions of women in top leadership positions.

“The big takeaway message is that historic events have the power to shape people’s gender attitudes — though not in the same way for everybody. We found no evidence that the 2016 presidential election changed the gender attitudes of Americans as a whole,” Georgeac told PsyPost.

“Instead, we found that the candidate that people supported predicted the change in their gender attitudes post-election. Specifically, Trump (but not Clinton) supporters scored significantly higher on the Modern Sexism Scale after the election.”

People who score high on the Modern Sexism Scale tend to agree with statements such as “It is rare to see women treated in a sexist manner on television” and “Over the past few years, the government and news media have been showing more concern about the treatment of women than is warranted by women’s actual experiences”

“We knew from past work that modern sexism, which captures a subtle form of gender bias (in the form of a denial of the existence of gender discrimination, opposition to women’s demands, and resentment towards women for perceived special favors), predicts other types of more overt bias, such as hostile sexism,” Georgeac explained.

“Consistently, our findings showed that Trump supporters’ higher scores on the Modern Sexism scale post-election in turn predicted their reporting lower concern with the gender pay gap, lower perceptions of discrimination against women but more against men, greater perceptions of progress towards gender equality, and greater perceptions of gender diversity at top levels in the United States.”

“This was not the case for Clinton supporters, whose attitudes remained stable post- versus pre-election. Importantly, these results held after implementing several robustness checks – an important methodological requirement for exploratory studies. All in all, these results suggest that a one-time historical event can affect people’s attitudes, though not homogeneously across political divides,” Georgeac said.

But some questions have been raised about how well the Modern Sexism Scale actually captures sexism, Georgeac noted. “As Tetlock (1994) suggested, a close look at its items suggests that high scores on the Modern Sexism Scale could capture different things: either prejudice against women, or perceptions that women now have access (or have greater access than before) to equal opportunity.”

“The second may not necessarily represent sexism, and could be interpreted as an erroneous cognitive overgeneralization of women’s access to equal opportunity.”

“Beyond the findings reported, we believe that this paper provides an interesting example of how to conduct exploratory findings without compromising on standards of reliability,” Georgeac said.

“Though not replacing the need for replication, the four different robustness checks implemented in this paper (changing the operationalization of the moderator, accounting for potential selection bias with statistical controls and a propensity score matching analysis, and accounting for multiple hypothesis testing) limit the possibility that the findings reported may be just a fluke.”

“We hope future research will start adopting some of these techniques to test the robustness of exploratory findings,” Georgeac concluded.

The study, “An Exploratory Investigation of Americans’ Expression of Gender Bias Before and After the 2016 Presidential Election“, was authored by Oriane A. M. Georgeac, Aneeta Rattan, and Daniel A. Effron.

DijonPepperberry on March 21st, 2019 at 17:12 UTC »

I've read the full text. I will declare my bias, as it's important. I routinely criticize trump and as a longstanding general believer in liberal principles I abhor most of what Trump does politically. So I tried my hardest to be as critical on a paper that, honestly, I wanted to protect.

The study is very weak, and I mean that in every sense of the word. The effect size of overall change was profoundly low (0.07, in the "negligible category"). Many of the significant findings were just barely statistically significant and infantissimally small. The "modern sexism scale" in Trump supporters increased on a 5 point scale from 2.93 to 3.05, p=0.033. this was the largest finding. Yes, being a Trump supporter was strongly associated with a difference in pre election change (P<0.001), but heres the problems. Most of the "differences" are not actually significant. With as many tests as they were doing, they should have significantly decreased their significance threshold. I would guess that the Bonferonni calculation for this would put it as p<0.005. None of their findings aside from the trump supporter reaction difference would hold.

It's a good study, and well conducted. The sample size is large enough. But the effect is so small, it was not powered to actually detect a difference.

Conclusion: title significantly overstates the findings

Sweetbobolovin on March 21st, 2019 at 15:28 UTC »

Thanks u/MaceWumpus for the following:

I couldn't initially find the scale, which is why I didn't comment on it, but /u/purplekeyboard helpfully pointed out that it seems to be one consisting of answers to the following questions:

1. Discrimination against women is no longer a problem in the United States.

2. Women often miss out on good jobs due to sexual discrimination.

3. It is rare to see women treated in a sexist manner on television.

4. On average, people in our society treat husbands and wives equally.

5. Society has reached the point where women and men have equal opportunities for achievement.

6. It is easy to understand the anger of women's groups in America.

7. It is easy to understand why women's groups are still concerned about societal limitations of women's opportunities.

8. Over the past few years, the government and news media have been showing more concern about the treatment of women than is warranted by women's actual experiences

Frankly? I am not sure which answer to some of those questions might be considered sexist or not. Take No. 1 for example. "Yes" could mean I am just another out-of-touch male who doesn't even know there is still a problem. "No" suggests I don't appreciate or comprehend the progress that has been made because I don't pay much attention to women's achievements.

A lot of those questions read that way to me. I wouldn't touch that survey with a ten foot pole

MaceWumpus on March 21st, 2019 at 13:33 UTC »

There are very real reasons to criticize the way that this study is being framed (and perhaps the study itself), but they are not represented in the comments so far, so I'll try my hand at it.

First, and most importantly, I think that the central conclusion is flawed. The central conclusion---both in the study and in the framing---is that there is a causal relationship between Trump's election and beliefs. In order to infer this from the data, one has to assume that the willingness of participants to share their actual beliefs was the same in both samples, i.e., that Trump's election didn't have a causal effect on how willing those with sexist views were to admit having such views. This assumption seems unlikely to me. The study itself has the following to say:

A related possibility is that a shift in the perceived norms about gender bias did not actually affect Trump supporters’ attitudes per se but rather increased their willingness to express attitudes they already had. ... Trump supporters may have interpreted his election as a signal that expressing “politically incorrect” views about gender was no longer discrediting and may thus have felt licensed postelection to voice gender-related attitudes that they previously kept private. For this explanation to fit our data, Trump supporters would have to be more likely than Clinton supporters to hold modern sexist views about gender preelection or to interpret the election as a license to express modern sexism. (pg. 8)

So far as I can tell, the study does nothing to rule out the possibility discussed in the last sentence (and may, indeed, offer some small amount of support for it).

Second, while I think that those whining about political bias in this thread haven't read the study and don't know what they're talking about, there is a way in which the presentation of this study is politically slanted (both within the study and within the news report). The change described in the headline and in the study is a change in the mean of .12 (on a five point scale) with a confidence interval of .01 to .23. The change in Clinton-supporters "perceptions of gender discrimination against women" is .23 (I assume on the same scale) with a confidence interval of .02 to .45 (all this is on pg. 5). That's comparable, supports their broader theoretical point, and (IMO) deserves as much coverage as the other result all other things being equal.

Of course, all other things are never equal, and there are two ways that one could explain the focus on the first result without appealing to bias. First, we might see the first result as more independently interesting; it's expected that people who think that the superior & female candidate lost will have more worries about discrimination against female candidates. Since it's not shocking to anyone, it's less newsworthy than the contested point about sexism. Second, this result doesn't stand up as well against their "robustness check," which involves tracking how their results differ when candidate support is switched out for general political views in the analysis. Frankly, I'm not much impressed with this choice of a robustness check for their desired purpose---I don't see how it supports the conclusions that they draw. I'd love to hear from someone with more expertise in this particular area, however, as I don't read much (read: any) political science.

EDIT: To clarify, I don't take the last paragraph to indicate that bias is not in fact the reason for the slant in presentation; I was simply surveying the alternative explanations.