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Autor/inn/enDe Houwer, Jan; Teige-Mocigemba, Sarah; Spruyt, Adriaan; Moors, Agnes
TitelImplicit Measures: A Normative Analysis and Review
QuelleIn: Psychological Bulletin, 135 (2009) 3, S.347-368 (22 Seiten)
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Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN0033-2909
DOI10.1037/a0014211
SchlagwörterHeuristics; Psychology; Evaluation Methods; Behavior Standards; Memory; Stimuli; Racial Attitudes; Racial Relations; Psychological Characteristics; Cognitive Ability; Thinking Skills; Validity; Scores; Cognitive Measurement; Thematic Apperception Test
AbstractImplicit measures can be defined as outcomes of measurement procedures that are caused in an automatic manner by psychological attributes. To establish that a measurement outcome is an implicit measure, one should examine (a) whether the outcome is causally produced by the psychological attribute it was designed to measure, (b) the nature of the processes by which the attribute causes the outcome, and (c) whether these processes operate automatically. This normative analysis provides a heuristic framework for organizing past and future research on implicit measures. The authors illustrate the heuristic function of their framework by using it to review past research on the 2 implicit measures that are currently most popular: effects in implicit association tests and affective priming tasks. (Contains 1 footnote and 1 figure.) (As Provided).
AnmerkungenAmerican Psychological Association. Journals Department, 750 First Street NE, Washington, DC 20002-4242. Tel: 800-374-2721; Tel: 202-336-5510; Fax: 202-336-5502; e-mail: order@apa.org; Web site: http://www.apa.org/publications
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2017/4/10
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