From the abstract:
This essay presents a series of case studies showing how analyses of the roles of race and racism in the 2016 U.S. Presidential Election seem to have been systematically distorted as a result. However, motivated reasoning, confirmation bias, prejudicial study design, and failure to address confounds are not limited to questions about race (a similar essay could have been done on the alleged role of sexism/ misogyny in the 2016 cycle, for instance). And while Trump does seem to generate particularly powerful antipathy from researchers – perhaps exacerbating negative tendencies – ideologically-driven errors likely permeate a good deal of social research. Presented evidence suggests that research with strong adversarial or advocacy orientations may be most susceptible to systemic distortion. Activist scholars and their causes may also be among those most adversely impacted by the resultant erosion of research reliability and credibility.
The article is behind a paywall, but Campus Watch offers commentary:
One example of this phenomena can be seen in the April 2017 Washington Post article “Racism motivated Trump voters more than authoritarianism,” by Thomas Wood, who teaches political science classes at Ohio State University.
While Wood cites survey data to claim that Trump voters were especially motivated by racism, a closer analysis by al-Gharbi reveals that Wood’s arguments about Trump voters can’t be substantiated from the data cited in the article.
“According to Wood’s own data, whites who voted for Trump are perhaps less racist than those who voted for Romney,” al-Gharbi explains, adding that “not only were they less authoritarian than Romney voters, but less racist too!”
“Unfortunately, Wood declined to consider how Trump voters differed from Romney voters…instead focusing on the gap between Democrats and Republicans in 2016, in the service of a conclusion his data do not support,” he adds.