Measuring automatic associations: Validation of algorithms for the Implicit Association Test (IAT) in a laboratory setting

Background and objectives: In their paper, "Understanding and using the Implicit Association Test: I. An improved scoring algorithm", Greenwald, Nosek, and Banaji (2003) investigated different ways to calculate the IAT-effect. However, up to now, it remained unclear whether these findings based on internet data also generalize to laboratory settings. Therefore, the main goal of the present study was to cross-validate scoring algorithms for the IAT in a laboratory setting, specifically in the domain of psychopathology. Methods: Four known IAT algorithms and seven alternative IAT algorithms were... Mehr ...

Verfasser: Glashouwer, K.A.
Smulders, F.T.Y.
de Jong, P.J .
Roefs, A.J.
Wiers, R.W.H.J.
Dokumenttyp: Artikel
Erscheinungsdatum: 2013
Reihe/Periodikum: Glashouwer , K A , Smulders , F T Y , de Jong , P J , Roefs , A J & Wiers , R W H J 2013 , ' Measuring automatic associations: Validation of algorithms for the Implicit Association Test (IAT) in a laboratory setting ' , Journal of Behavior Therapy and Experimental Psychiatry , vol. 44 , no. 1 , pp. 105-113 . https://doi.org/10.1016/j.jbtep.2012.07.015
Schlagwörter: IAT / Automatic associations / Algorithm / D-measure / Laboratory setting / Psychopathology / PERSONALITY SELF-CONCEPT / PSYCHOMETRIC PROPERTIES / PREDICTIVE-VALIDITY / ANXIETY NESDA / NETHERLANDS / DEPRESSION / EXPLICIT / BEHAVIOR / DETERMINANTS
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-26821081
Datenquelle: BASE; Originalkatalog
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Link(s) : https://cris.maastrichtuniversity.nl/en/publications/1feb7d0a-641b-4476-b95a-f1cd12969e08