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J Pers Soc Psychol. 2003 Aug;85(2):197-216.

Understanding and using the implicit association test: I. An improved scoring algorithm.

Author information

1
Department of Psychology, University of Washington, Seattle 98195-1525, USA. agg@u.washington.edu

Abstract

In reporting Implicit Association Test (IAT) results, researchers have most often used scoring conventions described in the first publication of the IAT (A.G. Greenwald, D.E. McGhee, & J.L.K. Schwartz, 1998). Demonstration IATs available on the Internet have produced large data sets that were used in the current article to evaluate alternative scoring procedures. Candidate new algorithms were examined in terms of their (a) correlations with parallel self-report measures, (b) resistance to an artifact associated with speed of responding, (c) internal consistency, (d) sensitivity to known influences on IAT measures, and (e) resistance to known procedural influences. The best-performing measure incorporates data from the IAT's practice trials, uses a metric that is calibrated by each respondent's latency variability, and includes a latency penalty for errors. This new algorithm strongly outperforms the earlier (conventional) procedure.

PMID:
12916565
DOI:
10.1037/0022-3514.85.2.197
[Indexed for MEDLINE]

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