Unresolved problems with the “I”, the “A”, and the “T”: A logical and psychometric critique of the Implicit Association Test (IAT)

By Klaus Fiedler, C. Messner, Matthias Blümke. 2006

302 citations recorded by the source corpus.

Subfields: Applied Psychology, Management Science and Operations Research, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/30b508ed9a8be4abcf8bd2662c6ee9357c42b342

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Applied Psychology

1. J. de Houwer
2. Agnes Moors
3. M. Bluemke
4. Sarah Teige-Mocigemba
5. Charlene Christie
6. Klaus Fiedler
7. James Jaccard
8. Adriaan Spruyt

In Management Science and Operations Research

1. M. Bluemke
2. Agnes Moors
3. Klaus Fiedler
4. James Jaccard
5. Hart Blanton
6. J. de Houwer
7. Rong Chen
8. Timothy M. Gardner

In Sociology and Political Science

1. J. de Houwer
2. Agnes Moors
3. M. Noon
4. M. Bluemke
5. Klaus Fiedler
6. James Jaccard
7. Hart Blanton
8. Adriaan Spruyt

Citations in the corpus

• Pointless Diversity Training: Unconscious Bias, New Racism and Agency (2018, background): “…(2008) provide a meticulous dissection of the measurement methods and scientific robustness of the Harvard IAT designed to measure racial bias, leading them to call for caution and dismiss the claims of pervasive unconscious racism as not yet empirically proven (see also Fiedler et al., 2006).”
• Faking the IAT: Aided and Unaided Response Control on the Implicit Association Tests (2005, methodology): “To avoid cross-categorical confounds (i.e., German and Turkish stimuli not only differing in ethnicity but also in valence; Bluemke & Friese, in press; Fiedler et al., 2005; Mitchell, Nosek, & Banaji, 2003; Steffens et al., 2004; Steffens & Plewe, 2001), a balanced stimulus set was used (Table 1).”
• Implicit measures: A normative analysis and review. (2009, background): “If other attributes can cause variations in the outcome independent of the to-bemeasured attribute, one can never be sure whether a certain outcome reflects the to-be-measured attribute or another one (e.g., Fiedler et al., 2006).”
• Decoding the implicit association test: Implications for criterion prediction (2006, background): “We also think more research is needed to show that association strength can meet formal definitions of an ‘‘attitude’’ (see Karpinski & Hilton, 2001; Fazio & Olson, 2003; Fiedler et al., 2004; Rothermund & Wentura, 2001).”
• The Dominance of Associative Theorizing in Implicit Attitude Research: Propositional and Behavioral Alternatives (2011, unknown): “NOSEK, B. A. (2007) Implicit-explicit relations.”