The implicit-association test (IAT) is an assessment intended to detect subconscious associations between mental representations of objects (concepts) in memory. Its best-known application is the assessment of implicit stereotypes held by test subjects, such as associations between particular racial categories and stereotypes about those groups. The test has been applied to a variety of belief associations, such as those involving racial groups, gender, sexuality, age, and religion but also the self-esteem, political views, and predictions of the test taker. The implicit-association test is the subject of significant academic and popular debate regarding its validity, reliability, and usefulness in assessing implicit bias. The IAT was introduced in the scientific literature in 1998 by Anthony Greenwald, Debbie McGhee, and Jordan Schwartz. The IAT is now widely used in social psychology research and, to some extent, in clinical, cognitive, and developmental psychology research. More recently, the IAT has been used as an assessment in implicit bias trainings, which aim to reduce the unconscious bias and discriminatory behavior of participants.
History
Implicit cognition and measurement In 1995, social psychology researchers Anthony Greenwald and Mahzarin Banaji asserted that the idea of implicit and explicit memory can apply to social constructs as well. If memories that are not accessible to awareness can influence our actions, associations can also influence our attitudes and behavior. Thus, measures that tap into individual differences in associations of concepts should be developed. This would allow researchers to understand attitudes that cannot be measured through explicit self-report methods due to lack of awareness or social-desirability bias. In essence, the purpose of the IAT was to reliably assess individual differences in a manner producing large effect sizes. The first IAT article was published three years later in 1998. Since its original publication date, the seminal IAT article has been cited over 4,000 times, making it one of the most influential psychological developments over the past couple of decades. Furthermore, several variations in IAT procedure have been introduced to address test limitations, while numerous applications of the IAT were also developed, including versions investigating bias against obesity, suicide risk, romantic attachment, attitudes regarding sexuality, and political preferences, among others. Finally, as is characteristic of any psychological instrumentation, discussion and debate of the IAT's reliability and validity has continued since its introduction, particularly because these factors vary between different variations of the test.
Application and use A computer-based measure, the IAT requires that users rapidly categorize two target concepts with an attribute (e.g. the concepts "male" and "female" with the attribute "logical"), such that easier pairings (faster responses) are interpreted as more strongly associated in memory than difficult pairings (slower responses). The IAT is thought to measure implicit attitudes: "introspectively unidentified (or inaccurately identified) traces of past experience that mediate favorable or unfavorable feeling, thought, or action toward social objects." In research, the IAT has been used to develop theories to understand implicit cognition (i.e. cognitive processes of which a person has no conscious awareness). These processes may include memory, perception, attitudes, self-esteem, and stereotypes. Because the IAT requires that users make a series of rapid judgments, researchers believe that IAT scores may also reflect attitudes which people are unwilling to reveal publicly. The IAT may allow researchers to get around the difficult problem of social-desirability bias and for that reason it has been used extensively to assess people's attitudes towards commonly stigmatized groups, such as African Americans and individuals who identify as homosexual.
Procedure
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