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Sergent K, Stajkovic AD. Prime and Prejudice. APPLIED PSYCHOLOGY-AN INTERNATIONAL REVIEW-PSYCHOLOGIE APPLIQUEE-REVUE INTERNATIONALE 2018. [DOI: 10.1111/apps.12166] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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Greenwald AG. Landy Is Correct: Stereotyping Can Be Moderated by Individuating the Out-Group and by Being Accountable. INDUSTRIAL AND ORGANIZATIONAL PSYCHOLOGY-PERSPECTIVES ON SCIENCE AND PRACTICE 2015. [DOI: 10.1111/j.1754-9434.2008.00082.x] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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Landy FJ. Stereotyping, Implicit Association Theory, and Personnel Decisions: I Guess We Will Just Have to Agree to Disagree. INDUSTRIAL AND ORGANIZATIONAL PSYCHOLOGY-PERSPECTIVES ON SCIENCE AND PRACTICE 2015. [DOI: 10.1111/j.1754-9434.2008.00085.x] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
My focal article generated a good deal of both heat and light embodied in 13 commentaries. In this response, I address both the heat and the light by clarifying some of my original comments, responding to criticisms in the commentaries, and using the commentaries to suggest a research agenda for studying the possible influence of stereotypes on real-world personnel decisions.
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Cocchiara FK, Bell MP, Casper WJ. Sounding “Different”: The Role of Sociolinguistic Cues in Evaluating Job Candidates. HUMAN RESOURCE MANAGEMENT 2014. [DOI: 10.1002/hrm.21675] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Blanton H, Jaccard J, Burrows CN. Implications of the Implicit Association Test D-Transformation for Psychological Assessment. Assessment 2014; 22:429-40. [DOI: 10.1177/1073191114551382] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Psychometricians strive to eliminate random error from their psychological inventories. When random error affecting tests is diminished, tests more accurately characterize people on the psychological dimension of interest. We document an unusual property of the scoring algorithm for a measure used to assess a wide range of psychological states. The “D-score” algorithm for coding the Implicit Association Test (IAT) requires the presence of random noise in order to obtain variability. Without consequential degrees of random noise, all individuals receive extreme scores. We present results from an algebraic proof, a computer simulation, and an online survey of implicit racial attitudes to show how trial error can bias IAT assessments. We argue as a result that the D-score algorithm should not be used for formal assessment purposes, and we offer an alternative to this approach based on multiple regression. Our critique focuses primarily on the IAT designed to measure unconscious racial attitudes, but it applies to any IAT developed to provide psychological assessments within clinical, organizational, and developmental branches of psychology—and in any other field where the IAT might be used.
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Derous E, Ryan AM, Serlie AW. Double Jeopardy Upon Resumé Screening: When Achmed Is Less Employable Than Aïsha. PERSONNEL PSYCHOLOGY 2014. [DOI: 10.1111/peps.12078] [Citation(s) in RCA: 47] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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