Implicit measures: A normative analysis and review.

Full Abstract

Implicit 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. (PsycINFO Database Record (c) 2009 APA, all rights reserved).

Author information

Author/s: De Houwer, Jan (J); Teige-Mocigemba, Sarah (S); Spruyt, Adriaan (A); Moors, Agnes (A);

Affiliation: Department of Psychology, Ghent University, Belgium. Jan.DeHouwer(-atsign-)UGent.be

Journal and publication information

Publication Type: Journal Article; Research Support, Non-U.S. Gov't; Review

Journal: Psychological bulletin (Psychol Bull), published in United States. (Language: eng)

Reference: 2009-May; vol 135 (issue 3) : pp 347-68

Dates: Created 2009/04/21; Completed 2009/06/24;

PMID: 19379018, status: MEDLINE (last retrieval date: 6/24/2009, IMS Date: 24 Jun 2009 00:00:00)

Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.

Comments and Corrections

CommentIn: Psychol Bull. 2009 May;135(3):369-72. (PMID: 19379019)

CommentIn: Psychol Bull. 2009 May;135(3):373-6. (PMID: 19379020)

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