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      Microaggressions : Strong Claims, Inadequate Evidence

      Perspectives on Psychological Science
      SAGE Publications

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          Abstract

          <p class="first" id="d8435970e51">The microaggression concept has recently galvanized public discussion and spread to numerous college campuses and businesses. I argue that the microaggression research program (MRP) rests on five core premises, namely, that microaggressions (1) are operationalized with sufficient clarity and consensus to afford rigorous scientific investigation; (2) are interpreted negatively by most or all minority group members; (3) reflect implicitly prejudicial and implicitly aggressive motives; (4) can be validly assessed using only respondents' subjective reports; and (5) exert an adverse impact on recipients' mental health. A review of the literature reveals negligible support for all five suppositions. More broadly, the MRP has been marked by an absence of connectivity to key domains of psychological science, including psychometrics, social cognition, cognitive-behavioral therapy, behavior genetics, and personality, health, and industrial-organizational psychology. Although the MRP has been fruitful in drawing the field's attention to subtle forms of prejudice, it is far too underdeveloped on the conceptual and methodological fronts to warrant real-world application. I conclude with 18 suggestions for advancing the scientific status of the MRP, recommend abandonment of the term "microaggression," and call for a moratorium on microaggression training programs and publicly distributed microaggression lists pending research to address the MRP's scientific limitations. </p>

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          Most cited references99

          • Record: found
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          Social stigma and self-esteem: The self-protective properties of stigma.

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            A meta-analysis on the correlation between the implicit association test and explicit self-report measures.

            Theoretically, low correlations between implicit and explicit measures can be due to (a) motivational biases in explicit self reports, (b) lack of introspective access to implicitly assessed representations, (c) factors influencing the retrieval of information from memory, (d) method-related characteristics of the two measures, or (e) complete independence of the underlying constructs. The present study addressed these questions from a meta-analytic perspective, investigating the correlation between the Implicit Association Test (IAT) and explicit self-report measures. Based on a sample of 126 studies, the mean effect size was .24, with approximately half of the variability across correlations attributable to moderator variables. Correlations systematically increased as a function of (a) increasing spontaneity of self-reports and (b) increasing conceptual correspondence between measures. These results suggest that implicit and explicit measures are generally related but that higher order inferences and lack of conceptual correspondence can reduce the influence of automatic associations on explicit self-reports.
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              Social psychology as history.

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                Author and article information

                Journal
                Perspectives on Psychological Science
                Perspect Psychol Sci
                SAGE Publications
                1745-6916
                1745-6924
                January 11 2017
                January 11 2017
                : 12
                : 1
                : 138-169
                Article
                10.1177/1745691616659391
                28073337
                9a98b6fd-ee3e-4927-a5d9-ddc6efdd157b
                © 2017

                http://journals.sagepub.com/page/policies/text-and-data-mining-license

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