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Measuring automatic associations: validation of algorithms for the Implicit Association Test (IAT) in a laboratory
Klaske A Glashouwer1, Fren T Y Smulders, Peter J de Jong
1Department of Clinical Psychology, University of Groningen, Grote Kruisstraat 2/1, 9712 TS Groningen, The Netherlands. k.a.glashouwer@rug.nl
Journal of Behavior Therapy and Experimental Psychiatry
|September 4, 2012
Summary
The study validated Implicit Association Test (IAT) scoring algorithms in a laboratory setting for psychopathology research. Key algorithms like D(2SD), D(600), and D(noEP) proved effective for measuring automatic associations.
Area of Science:
- Psychology
- Psychopathology Research
- Quantitative Psychology
Background:
- The Implicit Association Test (IAT) is widely used to measure automatic associations.
- Previous IAT scoring algorithms were primarily validated using internet data.
- Generalizability of existing IAT scoring methods to laboratory settings remained unclear, particularly in psychopathology.
Purpose of the Study:
- To cross-validate established and novel Implicit Association Test (IAT) scoring algorithms within a controlled laboratory environment.
- To assess the suitability of different IAT scoring methods for psychopathology research, specifically focusing on automatic self-anxious and self-depressed associations.
Main Methods:
- Evaluation of ten Implicit Association Test (IAT) scoring algorithms (four known, seven alternative).
- Utilized a large-scale laboratory sample from the Netherlands Study of Depression and Anxiety (N=2981).
- Included two IATs to measure automatic self-anxious and self-depressed associations.
Main Results:
- The D(2SD)-measure, D(600)-measure, and D(noEP)-measure (correct trials only) demonstrated suitability for laboratory use.
- These validated algorithms are effective for IATs with a fixed order of category combinations.
Conclusions:
- Recommended IAT scoring algorithms (D(2SD), D(600), D(noEP)) are robust for laboratory-based psychopathology research.
- Further replication is advised, particularly with spontaneous behavioral outcome measures.
