AMPing Racial Attitudes: Comparing the Power of Explicit and Implicit Racism Measures in 2008

In 2008, ANES included for the first time—along with standard explicit measures of old-fashioned and symbolic racism—the Affect Misattribution Procedure (AMP), a relatively new implicit measure of racial attitudes. This article examines the extent to which four different measures of racial prejudice (three explicit and one implicit) predict public opinion during and after the 2008 election, including Americans' views towards several racial policy issues, their evaluations of, and feelings toward, Barack Obama, and their attitudes toward a Black president in general. Oversamples of African American and Latino respondents in the 2008 ANES enable us to broaden our tests of these measures beyond traditional White samples. We find that racial prejudice played an important role for all racial/ethnic groups but that the traditional explicit measures of racism are by far the stronger predictors for all of our dependent variables (compared to the new implicit measure) for both White and Black respondents. Surprisingly, the AMP adds clear explanatory power only to models in the Latino sample

Measuring Voter Decision Strategies in Political Behavior and Public Opinion Research

Although political science has advanced the study of voter decision-making, the discipline still understands very little about how citizens go about reaching those decisions. In this article, we introduce a five-factor self-report scale of political decision-making (PolDec-5) administered to six different samples with more than 6,500 respondents over the past four years. Analyses illustrate that our five subscales—Rational Choice, Confirmatory, Fast and Frugal, Heuristic-Based, and Going with Your Gut—have high internal consistency, relatively high discriminant validity (as they are largely distinct from existing measures of decision-making style), and significantly high predictive validity, as established by process tracing studies where actual decision strategies of voters can be observed directly. Finally, we discuss how these new measures can help predict important political outcomes

Gender Stereotypes, Information Search, and Voting Behavior in Political Campaigns

It is still unclear exactly how gender influences vote choice. Using an information processing perspective, we argue that instead of directly influencing vote choice, candidate gender guides the amounts and types of information that voters search for during a campaign, and that effects of gender on vote choice ultimately come from differences in information search influenced by candidate gender. Using two unique experimental datasets, we test the effects of candidate gender on vote choice and information search. We find that subjects change their search based on a candidate’s gender, seeking out more competence-related information about female candidates than they do for male candidates, as well as more information related to “compassion issues.” We also find that evaluations of candidates’ traits and issue positions are important predictors of subjects’ vote choice

Mitigating gender bias in student evaluations of teaching

Student evaluations of teaching are widely believed to contain gender bias. In this study, we conduct a randomized experiment with the student evaluations of teaching in four classes with large enrollments, two taught by male instructors and two taught by female instructors. In each of the courses, students were randomly assigned to either receive the standard evaluation instrument or the same instrument with language intended to reduce gender bias. Students in the anti-bias language condition had significantly higher rankings of female instructors than students in the standard treatment. There were no differences between treatment groups for male instructors. These results indicate that a relatively simple intervention in language can potentially mitigate gender bias in student evaluation of teaching

Effect of Media Environment Diversity and Advertising Tone on Information Search, Selective Exposure, and Affective Polarization

This paper examines the effects of our modern media environment on affective polarization. We conducted an experiment during the last month of the 2012 presidential election varying both the choice of media sources available about the major presidential candidates, and the tone of political advertisements presented to subjects. We posit that voters in a high-choice, ideologically-diverse media environment will exhibit greater affective polarization than those in a “mainstream” ideologically neutral environment. We also hypothesize that subjects who are exposed to negative rather than positive political advertisements will show increased affective polarization. We provide causal evidence that the combination of a high-choice ideologically diverse media environment and exposure to negative political ads, significantly increases affective polarization. We also find that both overall information search and selective exposure to information are influenced by our experimental manipulations, with the greatest amount of search, and the most biased search, conducted by Romney supporters in the Negative Ads, Diverse Media condition