58 research outputs found

    Discrepancies in East Asians' perceived actual and ideal phenotypic facial features

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    The present study tested for the existence of a phenotypic actual-ideal discrepancy in East Asians’ appraisals of their own faces, in the direction of idealizing a phenotypically “Whiter” face than they perceived themselves to have. The study was conducted in two phases. In the first phase, East Asian participants residing in the U.S. (N = 104; Mage = 18.73) came into the lab to have their photograph taken. They were sent a link to complete the second phase online. Participants were required to recall either their previous day, an experience of racial discrimination, or an experience of racial acceptance. They then selected their actual and ideal face from an array of faces comprising their actual face and eight variants of their face that had been transformed to look phenotypically more “White” or more “East Asian”. A robust actual-ideal discrepancy emerged: participants both idealized a phenotypically “Whiter” face and perceived themselves as having a more phenotypically “East Asian” face than they objectively did. This discrepancy arose irrespective of whether participants were reminded of an incident of racial discrimination or acceptance

    Reducing Implicit Racial Preferences: II Intervention Effectiveness Across Time

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    Implicit preferences are malleable, but does that change last? We tested 9 interventions (8 real and 1 sham) to reduce implicit racial preferences over time. In 2 studies with a total of 6,321 participants, all 9 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. (PsycINFO Database Recor

    Many Labs 2: Investigating Variation in Replicability Across Samples and Settings

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    We conducted preregistered replications of 28 classic and contemporary published findings, with protocols that were peer reviewed in advance, to examine variation in effect magnitudes across samples and settings. Each protocol was administered to approximately half of 125 samples that comprised 15,305 participants from 36 countries and territories. Using the conventional criterion of statistical significance (p < .05), we found that 15 (54%) of the replications provided evidence of a statistically significant effect in the same direction as the original finding. With a strict significance criterion (p < .0001), 14 (50%) of the replications still provided such evidence, a reflection of the extremely highpowered design. Seven (25%) of the replications yielded effect sizes larger than the original ones, and 21 (75%) yielded effect sizes smaller than the original ones. The median comparable Cohen’s ds were 0.60 for the original findings and 0.15 for the replications. The effect sizes were small (< 0.20) in 16 of the replications (57%), and 9 effects (32%) were in the direction opposite the direction of the original effect. Across settings, the Q statistic indicated significant heterogeneity in 11 (39%) of the replication effects, and most of those were among the findings with the largest overall effect sizes; only 1 effect that was near zero in the aggregate showed significant heterogeneity according to this measure. Only 1 effect had a tau value greater than .20, an indication of moderate heterogeneity. Eight others had tau values near or slightly above .10, an indication of slight heterogeneity. Moderation tests indicated that very little heterogeneity was attributable to the order in which the tasks were performed or whether the tasks were administered in lab versus online. Exploratory comparisons revealed little heterogeneity between Western, educated, industrialized, rich, and democratic (WEIRD) cultures and less WEIRD cultures (i.e., cultures with relatively high and low WEIRDness scores, respectively). Cumulatively, variability in the observed effect sizes was attributable more to the effect being studied than to the sample or setting in which it was studied.UCR::Vicerrectoría de Investigación::Unidades de Investigación::Ciencias Sociales::Instituto de Investigaciones Psicológicas (IIP

    Understanding Mechanisms Behind Discrimination Using Diffusion Decision Modeling

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    Much prior work has documented contexts where discrimination occurs or tested interventions that reduce discrimination. Less is known about the process by which discriminatory behavior emerges and the mechanisms through which successful interventions work. Two studies (N&gt;4500) apply the Diffusion Decision Model (DDM) to the Judgment Bias Task, a novel measure of discrimination. In control conditions, participants gave preferential treatment (acceptance to a hypothetical honor society) to more physically attractive applicants. DDM analyses revealed participants initially favored attractive candidates and physical attractiveness was also accumulated as evidence of being qualified. Two interventions—raising awareness of bias and asking for more deliberative judgments—reduced discrimination through separate impacts onDDM parameters. Raising awareness reduced biases in drift rates while increasing deliberation raised decision thresholds. This work offers insight into how discrimination emerges and may aid future efforts in developing interventions to lessen discrimination

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    Reducing discrimination: A bias versus noise perspective.

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    Scientists’ Reputations Are Based on Getting It Right, Not Being Right

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    <div><p>Replication is vital for increasing precision and accuracy of scientific claims. However, when replications “succeed” or “fail,” they could have reputational consequences for the claim’s originators. Surveys of United States adults (<i>N</i> = 4,786), undergraduates (<i>N</i> = 428), and researchers (<i>N</i> = 313) showed that reputational assessments of scientists were based more on how they pursue knowledge and respond to replication evidence, not whether the initial results were true. When comparing one scientist that produced boring but certain results with another that produced exciting but uncertain results, opinion favored the former despite researchers’ belief in more rewards for the latter. Considering idealized views of scientific practices offers an opportunity to address incentives to reward both innovation and verification.</p></div
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