OBJECTIVE: The alcohol expectancy construct has become prominent in contemporary psychosocial approaches to understanding alcohol use and abuse. In 1980 Brown and colleagues developed the 90-item Alcohol Expectancy Questionnaire (AEQ) to assess experiences. Rohsenow modified this instrument to create the 40-item Alcohol Effects Questionnaire (AEQ-2). In the present study, we replaced the dichotomous response format of the AEQ-2 with a six-point scale to create the AEQ-3. The purpose of the study was to evaluate the AEQ-3 for factor structure confirmation and invariance across gender and race subgroups. METHOD: We administered the AEQ-3 to a large general population sample (N = 1,260). The instrument was self-administered during a structured interview. RESULTS: Confirmatory factor analyses were conducted to test a correlated eight-factor model consisting of six positive expectancies and two negative expectancies. Fit indices revealed that the eight-factor model fit the data moderately well. Furthermore, the fit of the eight-factor model was largely invariant across race and gender subgroups. Nonetheless, factor intercorrelations and modification indices revealed inadequate discriminant validity. CONCLUSIONS: Based on these findings, we cautiously recommend the AEQ-3 as a measure of alcohol expectancies. Specific recommendations and limitations are discussed regarding future use of the AEQ-3.
OBJECTIVE: The alcohol expectancy construct has become prominent in contemporary psychosocial approaches to understanding alcohol use and abuse. In 1980 Brown and colleagues developed the 90-item Alcohol Expectancy Questionnaire (AEQ) to assess experiences. Rohsenow modified this instrument to create the 40-item Alcohol Effects Questionnaire (AEQ-2). In the present study, we replaced the dichotomous response format of the AEQ-2 with a six-point scale to create the AEQ-3. The purpose of the study was to evaluate the AEQ-3 for factor structure confirmation and invariance across gender and race subgroups. METHOD: We administered the AEQ-3 to a large general population sample (N = 1,260). The instrument was self-administered during a structured interview. RESULTS: Confirmatory factor analyses were conducted to test a correlated eight-factor model consisting of six positive expectancies and two negative expectancies. Fit indices revealed that the eight-factor model fit the data moderately well. Furthermore, the fit of the eight-factor model was largely invariant across race and gender subgroups. Nonetheless, factor intercorrelations and modification indices revealed inadequate discriminant validity. CONCLUSIONS: Based on these findings, we cautiously recommend the AEQ-3 as a measure of alcohol expectancies. Specific recommendations and limitations are discussed regarding future use of the AEQ-3.
Authors: Jaime S Ide; Simon Zhornitsky; Herta H Chao; Sheng Zhang; Sien Hu; Wuyi Wang; John H Krystal; Chiang-Shan R Li Journal: Biol Psychiatry Cogn Neurosci Neuroimaging Date: 2018-05-03
Authors: Simon Zhornitsky; Sheng Zhang; Jaime S Ide; Herta H Chao; Wuyi Wang; Thang M Le; Robert F Leeman; Jinbo Bi; John H Krystal; Chiang-Shan R Li Journal: Biol Psychiatry Cogn Neurosci Neuroimaging Date: 2018-12-12
Authors: Jumi Hayaki; Claire E Hagerty; Debra S Herman; Marcel A de Dios; Bradley J Anderson; Michael D Stein Journal: Addict Behav Date: 2010-06-25 Impact factor: 3.913
Authors: Simon Zhornitsky; Jaime S Ide; Wuyi Wang; Herta H Chao; Sheng Zhang; Sien Hu; John H Krystal; Chiang-Shan R Li Journal: Brain Connect Date: 2018-10