OBJECTIVE: The Young Adult Alcohol Consequences Questionnaire (YAACQ) was designed to measure the various domains of alcohol-related problems experienced by emerging adults (EAs), but has primarily been used in college samples and it remains unclear whether the psychometric properties of the YAACQ function similarly in racially and economically diverse populations. The present study assessed the factor structure and evaluated measurement invariance, latent mean differences, and correlates of the 48-item eight-factor YAACQ across college status, race, and childhood socioeconomic status (SES). METHOD: EAs ages 21.5-25 (N = 602; 57.3% female, 47.0% White, 41.5 % Black, 35.4% noncollege EAs) who consumed 3/4 + alcoholic beverages (for women/men) at least twice in the previous month completed measures of alcohol use, alcohol-related consequences and demographics. RESULTS: Confirmatory factor analysis (CFA) supported the 48-item eight-factor structure across the entire sample. However, one item related to academic achievement was predictably endorsed by few noncollege EAs and thus, was dropped. Multiple-group CFA demonstrated measurement invariance of a revised 47-item eight-factor YAACQ across college status, race, and childhood SES. Assessment of latent mean differences revealed that noncollege EAs reported more alcohol-related consequences overall, compared to college students, including greater endorsement of severe problem domains. White EAs reported more total alcohol-related consequences relative to Black EAs, and EAs of low childhood SES reported more total alcohol-related consequences compared to those of high childhood SES. Furthermore, all eight alcohol consequence factors demonstrated concurrent associations with weekly alcohol use, binge drinking, and high intensity drinking within each subgroup. CONCLUSIONS: Findings suggest that the YAACQ is a psychometrically robust measure of alcohol-related consequences across demographic groups. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
OBJECTIVE: The Young Adult Alcohol Consequences Questionnaire (YAACQ) was designed to measure the various domains of alcohol-related problems experienced by emerging adults (EAs), but has primarily been used in college samples and it remains unclear whether the psychometric properties of the YAACQ function similarly in racially and economically diverse populations. The present study assessed the factor structure and evaluated measurement invariance, latent mean differences, and correlates of the 48-item eight-factor YAACQ across college status, race, and childhood socioeconomic status (SES). METHOD: EAs ages 21.5-25 (N = 602; 57.3% female, 47.0% White, 41.5 % Black, 35.4% noncollege EAs) who consumed 3/4 + alcoholic beverages (for women/men) at least twice in the previous month completed measures of alcohol use, alcohol-related consequences and demographics. RESULTS: Confirmatory factor analysis (CFA) supported the 48-item eight-factor structure across the entire sample. However, one item related to academic achievement was predictably endorsed by few noncollege EAs and thus, was dropped. Multiple-group CFA demonstrated measurement invariance of a revised 47-item eight-factor YAACQ across college status, race, and childhood SES. Assessment of latent mean differences revealed that noncollege EAs reported more alcohol-related consequences overall, compared to college students, including greater endorsement of severe problem domains. White EAs reported more total alcohol-related consequences relative to Black EAs, and EAs of low childhood SES reported more total alcohol-related consequences compared to those of high childhood SES. Furthermore, all eight alcohol consequence factors demonstrated concurrent associations with weekly alcohol use, binge drinking, and high intensity drinking within each subgroup. CONCLUSIONS: Findings suggest that the YAACQ is a psychometrically robust measure of alcohol-related consequences across demographic groups. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
Authors: Helene Raskin White; Barbara J McMorris; Richard F Catalano; Charles B Fleming; Kevin P Haggerty; Robert D Abbott Journal: J Stud Alcohol Date: 2006-11
Authors: Karen G Chartier; Denise M Scott; Tamara L Wall; Jonathan Covault; Katherine J Karriker-Jaffe; Britain A Mills; Susan E Luczak; Raul Caetano; Judith A Arroyo Journal: Alcohol Clin Exp Res Date: 2014-01-31 Impact factor: 3.455