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Is the implicit association test immune to faking?
1FB I Psychology, University of Trier, Germany. steffens@uni-trier.de
Experimental Psychology
|July 23, 2004
Summary
Measures of automatic cognition, like the Implicit Association Test (IAT), are less prone to faking than explicit tests. However, even IAT scores can be influenced by deliberate attempts to manipulate results, especially with limited experience.
Area of Science:
- Psychology
- Cognitive Science
- Personality Assessment
Background:
- Measures of automatic cognition are theorized to be more resistant to faking than explicit self-report measures.
- The extent to which automatic cognition measures can be faked is an empirical question requiring investigation.
- Different automatic cognition measures may vary in their susceptibility to faking.
Purpose of the Study:
- To empirically test the faking susceptibility of the Implicit Association Test (IAT) compared to explicit measures.
- To assess the faking resistance of the IAT for the Big-Five personality dimensions of conscientiousness and extraversion.
Main Methods:
- Utilized the Implicit Association Test (IAT) to measure automatic cognition.
- Employed questionnaire measures (explicit tests) for the same personality constructs.
- Compared faking potential between IAT and questionnaire measures for conscientiousness and extraversion.
Main Results:
- The IAT demonstrated significantly less susceptibility to faking compared to traditional questionnaire measures.
- This finding held true even when participants did not selectively fake single dimensions on the questionnaire.
- However, IAT scores were found to be susceptible to faking, particularly with limited participant experience.
Conclusions:
- The Implicit Association Test (IAT) offers an advantage over explicit measures due to its reduced susceptibility to faking.
- While more resistant, IAT scores are not entirely immune to faking, especially under conditions of limited experience.
- Further research is needed to understand the nuances of faking on IAT across different constructs and participant expertise levels.
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