Literature DB >> 21621924

Development and validation of the Alcohol Identity Implicit Associations Test (AI-IAT).

Heather M Gray1, Debi A Laplante, Brittany L Bannon, Nalini Ambady, Howard J Shaffer.   

Abstract

Alcohol identity is the extent to which an individual perceives drinking alcohol to be a defining characteristic of his or her self-identity. Although alcohol identity might play an important role in risky college drinking practices, there is currently no easily administered, implicit measure of this concept. Therefore we developed a computerized implicit measure of alcohol identity (the Alcohol Identity Implicit Associations Test; AI-IAT) and assessed its reliability and predictive validity in relation to risky college drinking practices. One hundred forty-one college students completed the AI-IAT. Again 3- and 6-months later, we administered the AI-IAT and indices of engagement in risky college drinking practices. A subset of participants also completed the previously-validated implicit measure of alcohol identity. Scores on the AI-IAT were stable over time, internally consistent, and positively correlated with the previously-validated measure of alcohol identity. Baseline AI-IAT scores predicted future engagement in risky college drinking practices, even after controlling for standard alcohol consumption measures. We conclude that the AI-IAT reliably measures alcohol identity, a concept that appears to play an important role in risky college drinking practices.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21621924      PMCID: PMC3142665          DOI: 10.1016/j.addbeh.2011.05.003

Source DB:  PubMed          Journal:  Addict Behav        ISSN: 0306-4603            Impact factor:   3.913


  30 in total

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  27 in total

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Review 6.  Identifying the Structure and Effect of Drinking-Related Self-Schemas.

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