Understanding and using the Implicit Association Test: I. An improved scoring algorithm.
University of Washington · University of Virginia
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…
Citation impact
- FWCI
- 224.64
- Percentile
- 100%
- References
- 33
Authors
3Topics & keywords
- Implicit-association test
- Psychology
- Respondent
- Artifact (error)
- Metric (unit)
- Test (biology)
- Internal consistency
- Social psychology
- Peace, Justice and strong institutions