Analysis of the B-YAACQ in Alcohol Consumers Using Item Response Theory
DOI:
https://doi.org/10.24265/Palavras-chave:
alcohol, depression, item response theory, kernel smoothingResumo
Background: The B-YAACQ is an instrument with a dichotomous response format that assesses alcohol consumption consequences. Objective: The study aimed to evaluate its psychometric properties and potential utility as a polytomous measure. Method: A sample of 691 Peruvian university students who reported alcohol use in the past twelve, six, three, or one month was collected. Analyses included: (1) a nonparametric item response theory (IRT) model using kernel smoothing (KS-IRT); (2) a graded response model (GRM) accounting for differential item functioning (DIF) by participant gender; and (3) a predictive model of alcohol consequences based on depression scores in a risk subgroup (n = 414). Results: The KS-IRT model supported a three-category response format as optimal. The GRM revealed high discrimination parameters for all items (a > 1.4). DIF analysis identified non-invariance in items 1, 14, and 19. Finally, depression significantly predicted alcohol-related consequences. Conclusion: The B-YAACQ demonstrates a unidimensional structure with favorable psychometric properties.
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