Psychometric properties of the drinking expectancy questionnaire: a review of the factor structure and a proposed new scoring method

Lee, Nicole K., Oei, Tian P.S., Greeley, Janet D., and Baglioni, Anthony J. (2003) Psychometric properties of the drinking expectancy questionnaire: a review of the factor structure and a proposed new scoring method. Journal of Studies on Alcohol, 64 (3). pp. 432-436.

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Abstract

Objective: Expectancies about the outcomes of alcohol consumption are widely accepted as important determinants of drinking. This construct is increasingly recognized as a significant element of psychological interventions for alcohol-related problems. Much effort has been invested in producing reliable and valid instruments to measure this construct for research and clinical purposes, but very few have had their factor structure subjected to adequate validation. Among them, the Drinking Expectancies Questionnaire (DEQ) was developed to address some theoretical and design issues with earlier expectancy scales. Exploratory factor analyses, in addition to validity and reliability analyses, were performed when the original questionnaire was developed. The object of this study was to undertake a confirmatory analysis of the factor structure of the DEQ. Method: Confirmatory factor analysis through LISREL 8 was performed using a randomly split sample of 679 drinkers. Results: Results suggested that a new 5-factor model, which differs slightly from the original 6-factor version, was a more robust measure of expectancies. A new method of scoring the DEQ consistent with this factor structure is presented. Conclusions: The present study shows more robust psychometric properties of the DEQ using the new factor structure.

Item ID: 13787
Item Type: Article (Refereed Research - C1)
ISSN: 0096-882X
Date Deposited: 04 Nov 2010 03:03
FoR Codes: 17 PSYCHOLOGY AND COGNITIVE SCIENCES > 1701 Psychology > 170109 Personality, Abilities and Assessment @ 100%
SEO Codes: 97 EXPANDING KNOWLEDGE > 970117 Expanding Knowledge in Psychology and Cognitive Sciences @ 100%
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