Abstract
Introduction: The Alcohol Use Disorders Identification Test (AUDIT) is an internationally well-established screening tool for the assessment of hazardous and harmful alcohol consumption. To be valid for group comparisons, the AUDIT should measure the same latent construct with the same structure across groups. This is determined by measurement invariance. So far, measurement invariance of the AUDIT has rarely been investigated. We analyzed measurement invariance across gender and samples from different settings (i.e., inpatients from general hospital, patients from general medical practices, general population). Methods: A sample of n = 28,345 participants from general hospitals, general medical practices and the general population was provided from six studies. First, we used Confirmatory Factor Analysis (CFA) to establish the factorial structure of the AUDIT by comparing a single-factor model to a two-factor model for each group. Next, Multiple Group CFA was used to investigate measurement invariance. Results: The two-factor structure was shown to be preferable for all groups. Furthermore, strict measurement invariance was established across all groups for the AUDIT. Conclusion: A two-factor structure for the AUDIT is preferred. Nevertheless, the one-factor structure also showed a good fit to the data. The findings support the AUDIT as a psychometrically valid and reliable screening instrument.
| Original language | English |
|---|---|
| Journal | Drug and Alcohol Dependence |
| Volume | 189 |
| Pages (from-to) | 55-61 |
| Number of pages | 7 |
| ISSN | 0376-8716 |
| DOIs | |
| Publication status | Published - 01.08.2018 |
Funding
This work was part of the consortium “Addiction: Early Recognition and Intervention Across the Lifespan (AERIAL)” and was funded by the German Federal Ministry of Education and Research (grant no: 01EE1406F ). The funding sources had no further role in the collection, analysis and interpretation of data. The studies providing the data base for the current work were part of the German research network EARLINT and funded by the German Federal Ministry of Research and Education (grant no: 01 EB 0120 , 01 EB 0420 , 01 EB 0121 , 01 EB 0421 , 01 EB 9406 ), the Social Ministry of the State of Mecklenburg-Western Pomerania ( IX 311a 406.68.43.05 ) and the Alfried Krupp von Bohlen and Halbach Foundation, and the German Cancer Aid ( 108376 , 109737 , 110676 , 110543 , 111346 ).
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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SDG 10 Reduced Inequalities
Research Areas and Centers
- Academic Focus: Center for Brain, Behavior and Metabolism (CBBM)
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