title: Method-specific variance in the implicit association test.
abstract: The Implicit Association Test (IAT; A. G. Greenwald, D. E. McGhee, & J. L. K. Schwartz, 1998) can be used to assess interindividual differences in the strength of associative links between representational structures such as attitude objects and evaluations. Four experiments are reported that explore the extent of method-specific variance in the IAT. The most important findings are that conventionally scored IAT effects contain reliable interindividual differences that are method specific but independent of the measures' content, and that IAT effects can be obtained in the absence of a preexisting association between the response categories. Several techniques to decrease the impact of method-specific variance are evaluated. The best results were obtained with the D measures recently proposed by A. G. Greenwald, B. A. Nosek, and M. R. Banaji (2003).
authors.affiliation: Psychological Institute, University of Bonn, Bonn, Germany. jan.mierke@uni-bonn.de
authors.forename: Jan
authors.initials: J
authors.lastname: Mierke
authors.forename: Karl Christoph
authors.initials: KC
authors.lastname: Klauer
mesh_terms: D000328:Adult; D000465:Algorithms; D001290:Attitude; D003118:Color Perception; D005260:Female; D006801:Humans; D007206:Individuality; D008297:Male; D010364:Pattern Recognition, Visual; D011594:Psychometrics / Q000706:statistics & numerical data; D015203:Reproducibility of Results; D012649:Self Concept; D012858:Size Perception; D014936:Word Association Tests / Q000706:statistics & numerical data*