Psychometric validation of the Diagnostic Assessment Research Tool: Alcohol use disorder module
Aims
Structured clinical interviewing is considered the gold standard in psychiatric diagnosis. The Diagnostic Assessment Research Tool (DART) is a novel modularized, non-copywritten, semi-structured interview; however, no studies have examined the psychometric properties of its alcohol use disorder (AUD) module. The primary aims of this study were to: (i) validate the factor structure of the DART AUD module and (ii) examine measurement invariance across several key demographic and subgroup factors.
Methods
Participants were community members in Hamilton, Canada and Boston, USA who self-identified as making a significant AUD recovery attempt (N = 499). Internal reliability was examined via the Kuder–Richardson 20 statistic, and correlations between symptom count and drinking quantity/frequency were examined. Then, symptom-level data were included in a confirmatory factor analysis to examine model fit of a single hypothesized factor structure. Finally, measurement invariance analyses were conducted for sex, age, ethnicity (White vs. racialized), and study site.
Results
This study found evidence for adequate internal reliability (rKR20 = 0.75), and symptom scores correlated with drinking quantity and frequency (r = 0.16–0.43). Confirmatory factor analysis results suggested excellent fit for the unidimensional one-factor AUD model (χ2 = 0.09, confirmatory factor index = 0.99, Tucker Lewis index = 0.99, standardized root mean square residual = 0.06, root mean square error of approximation = 0.02). Measurement invariance analyses revealed that the factor structure was equivalent between sex, age, ethnicity, and study site.
Conclusions
Findings provide strong evidence for the psychometric validity of the DART AUD module and support its use in research and clinical practice. The DART represents a credible alternative to other diagnostic interviewing tools for AUD.
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Journals
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Alcohol Clinical and Experimental Research
1 publication, 100%
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Wiley
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