Abstract
The Implicit Association Test (IAT) assesses relative strengths of four associations involving two pairs of contrasted concepts (e.g., male-female and family-career). In four studies, analyses of data from 11 Web IATs, averaging 12,000 respondents per data set, supported the following conclusions: (a) sorting IAT trials into subsets does not yield conceptually distinct measures; (b) valid IAT measures can be produced using as few as two items to represent each concept; (c) there are conditions for which the administration order of IAT and self-report measures does not alter psychometric properties of either measure; and (d) a known extraneous effect of IAT task block order was sharply reduced by using extra practice trials. Together, these analyses provide additional construct validation for the IAT and suggest practical guidelines to users of the IAT.
Keywords
Implicit-association testPsychologyConstruct (python library)Set (abstract data type)Social psychologyConstruct validityTest (biology)Association (psychology)Task (project management)PsychometricsClinical psychologyPsychotherapistComputer science
MeSH Terms
AdultAssociation LearningAttitudeCognitionFemaleHumansInternetLinguisticsMaleMental Status SchedulePsychometricsReproducibility of ResultsUnconsciousPsychology
Affiliated Institutions
Related Publications
Predicting Behavior With Implicit Measures: Disillusioning Findings, Reasonable Explanations, and Sophisticated Solutions
Two decades ago, the introduction of the Implicit Association Test (IAT) sparked enthusiastic reactions. With implicit measures like the IAT, researchers hoped to finally be abl...
Understanding and using the Implicit Association Test: I. An improved scoring algorithm.
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. Mc...
Is the performance at the implicit association test sensitive to feedback presentation? A Rasch-based analysis
The Implicit Association Test (IAT) is commonly used for the indirect assessment of psychological constructs. While the features of the IAT that might influence the performance ...
Process components of the Implicit Association Test: A diffusion-model analysis.
The authors present a diffusion-model analysis of the Implicit Association Test (IAT). In Study 1, the IAT effect was decomposed into 3 dissociable components: Relative to the c...
Measuring individual differences in implicit cognition: The implicit association test.
An implicit association test (IAT) measures differential association of 2 target concepts with an attribute. The 2 concepts appear in a 2-choice task (2-choice task (e.g., flowe...
Publication Info
- Year
- 2004
- Type
- article
- Volume
- 31
- Issue
- 2
- Pages
- 166-180
- Citations
- 1133
- Access
- Closed
External Links
Social Impact
Altmetric
PlumX Metrics
Social media, news, blog, policy document mentions
Citation Metrics
1133
OpenAlex
58
Influential
750
CrossRef
Cite This
Brian A. Nosek,
Anthony G. Greenwald,
Mahzarin R. Banaji
(2004).
Understanding and Using the Implicit Association Test: II. Method Variables and Construct Validity.
Personality and Social Psychology Bulletin
, 31
(2)
, 166-180.
https://doi.org/10.1177/0146167204271418
Identifiers
- DOI
- 10.1177/0146167204271418
- PMID
- 15619590