Implicit preferences are malleable, but does that change last? We tested nine interventions (eight real and one sham) to reduce implicit racial preferences over time. In two studies with a total of 6,321 participants, all nine interventions immediately reduced implicit preferences. However, none were effective after a delay of several hours to several days. We also found that these interventions did not change explicit racial preferences and were not reliably moderated by motivations to respond without prejudice. Short-term malleability in implicit preferences does not necessarily lead to long-term change, raising new questions about the flexibility and stability of implicit preferences.Word Count: 100 Keywords: attitudes, racial prejudice, implicit social cognition, malleability, Implicit Association Test Full CitationLai, C. K., Skinner, A. L., Cooley, E., Murrar, S., Brauer, M., Devos, T., Calanchini, J., Xiao, Y. J., Pedram, C., Marshburn, C. K., Simon, S., Blanchar, J. C., Joy-Gaba, J. A., Conway, J., Redford, L., Klein, R. A., Roussos, G., Schellhaas, F. M. H., Burns, M., Hu, X., McLean, M. C., Axt, J. R., Asgari, S., Schmidt, K., Rubinstein., R, Marini, M., Rubichi, S., Shin,. J. L., & Nosek, B. A. (2016). Reducing implicit racial preferences: II. Intervention effectiveness across time. Journal of Experimental Psychology: General, 145, 1001-1016. REDUCING IMPLICIT RACIAL PREFERENCES 3 Reducing Implicit Racial Preferences: II. Intervention Effectiveness Across TimeEarly theories of implicit social cognition suggested that implicit associations were largely stable. These claims were supported by evidence that changes in conscious belief did not lead to corresponding changes in implicit associations (e.g., Devine, 1989;Wilson, Lindsey, & Schooler, 2000). The psychologist John Bargh referred to the stability of implicit cognitions as the "cognitive monster": "Once a stereotype is so entrenched that it becomes activated automatically, there is really little that can be done to control its influence" (p. 378, Bargh, 1999). This dominant view has changed over the past fifteen years to one of implicit malleability, with many studies finding that implicit associations are sensitive to lab-based interventions (for reviews, see Blair, 2002;Gawronski & Bodenhausen 2006;Lai, Hoffman, & Nosek, 2013). These interventions vary greatly in approach. In one, for example, participants are exposed to images of people who defy stereotypes (e.g., admired Black people / hated White people; Joy-Gaba & Nosek, 2010). In another, participants are given goals to override implicit biases (e.g., Mendoza, Gollwitzer, & Amodio, 2010;Stewart & Payne, 2008).In most of the research on implicit association change, the short-term malleability of associations is tested by administering an implicit measure immediately after the intervention. Studies examining long-term change in implicit associations are rare. In a meta-analysis on experiments to change implicit associations (Forscher, Lai, et al., 2016), only 22 (3.7%) of 585 studies ...

The university participant pool is a key resource for behavioral research, and data quality is believed to vary over the course of the academic semester. This crowdsourced project examined time of semester variation in 10 known effects, 10 individual differences, and 3 data quality indicators over the course of the academic semester in 20 participant pools (N = 2,696) and with an online sample (N = 737). Weak time of semester effects were observed on data quality indicators, participant sex, and a few individual differences-conscientiousness, mood, and stress. However, there was little evidence for time of semester qualifying experimental or correlational effects. The generality of this evidence is unknown because only a subset of the tested effects demonstrated evidence for the original result in the whole sample. Mean characteristics of pool samples change slightly during the semester, but these data suggest that those changes are mostly irrelevant for detecting effects. Word count = 151Keywords: social psychology; cognitive psychology; replication; participant pool; individual differences; sampling effects; situational effects 4 Many Labs 3: Evaluating participant pool quality across the academic semester via replication University participant pools provide access to participants for a great deal of published behavioral research. The typical participant pool consists of undergraduates enrolled in introductory psychology courses that require students to complete some number of experiments over the course of the academic semester. Common variations might include using other courses to recruit participants or making study participation an option for extra credit rather than a pedagogical requirement. Research-intensive universities often have a highly organized participant pool with a participant management system for signing up for studies and assigning credit. Smaller or teaching-oriented institutions often have more informal participant pools that are organized ad hoc each semester or for an individual class.To avoid selection bias based on study content, most participant pools have procedures to avoid disclosing the content or purpose of individual studies during the sign-up process.However, students are usually free to choose the time during the semester that they sign up to complete the studies. This may introduce a selection bias in which data collection on different dates occurs with different kinds of participants, or in different situational circumstances (e.g., the carefree semester beginning versus the exam-stressed semester end).If participant characteristics differ across time during the academic semester, then the results of studies may be moderated by the time at which data collection occurs. Indeed, among behavioral researchers there are widespread intuitions, superstitions, and anecdotes about the "best" time to collect data in order to minimize error and maximize power. It is common, for example, to hear stories of an effect being obtained in the first part of the semester that then "d...

Implicit preferences are malleable, but does that change last? We tested nine interventions (eight real and one sham) to reduce implicit racial preferences over time. In two studies with a total of 6,321 participants, all nine interventions immediately reduced implicit preferences. However, none were effective after a delay of several hours to several days. We also found that these interventions did not change explicit racial preferences and were not reliably moderated by motivations to respond without prejudice. Short-term malleability in implicit preferences does not necessarily lead to long-term change, raising new questions about the flexibility and stability of implicit preferences.Word Count: 100

This research investigated the role of gender attitudes in the United States 2016 presidential election between Hillary Clinton and Donald Trump. The results of three studies (combined N = 2,816) showed that, as expected, Trump voters were higher in hostile and benevolent sexism than were Clinton voters. Even after controlling for political ideology and gender (Studies 1, 2, and 3) and minority group attitudes (Study 3), greater hostile sexism predicted more positive attitudes toward Trump, less positive attitudes toward Clinton, and retrospective reports of having voted for Trump over Clinton (Studies 2 and 3). Benevolent sexism did not predict additional variation in voting behavior beyond political ideology and hostile sexism. These results suggest that political behavior is based on more than political ideology; even among those with otherwise progressive views, overtly antagonistic views of women could be a liability to women—and an asset to men—running for office.

Abstract. White people often experience unpleasant emotions in response to learning about White privilege ( Phillips & Lowery, 2015 ; Pinterits, Poteat, & Spanierman, 2009 ). Two studies (total N = 1,310) examined how race attitudes relate to White people’s desires to avoid or learn information about White privilege. White participants completed measures of their race attitudes, desire to change White privilege, and their desire to avoid learning information about White privilege. Study 1 showed that participants who preferred their racial in-group reported less desire to change White privilege and greater desire to avoid learning information about White privilege. Inconsistent with expectations, Study 2 showed that participants who anticipated negative affective responses to learning about White privilege reported greater desire to change White privilege.

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