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Record W2603136648 · doi:10.1111/dar.12464

Cross‐cultural comparisons of drinking motives in 10 countries: Data from the DRINC project

2017· article· en· W2603136648 on OpenAlexaffabout
Sean P. Mackinnon, Marie‐Eve Couture, M. Lynne Cooper, Emmanuel Kuntsche, Roisin M. O’Connor, Sherry H. Stewart

Bibliographic record

VenueDrug and Alcohol Review · 2017
Typearticle
Languageen
FieldMedicine
TopicSubstance Abuse Treatment and Outcomes
Canadian institutionsConcordia UniversityDalhousie University
Fundersnot available
KeywordsCollectivismConformityIndividualismPsychologySocial psychologyConfirmatory factor analysisCoping (psychology)Cross-culturalDevelopmental psychologyClinical psychologyStructural equation modelingSociologyPolitical scienceStatistics

Abstract

fetched live from OpenAlex

INTRODUCTION AND AIMS: This study tested the measurement invariance of the Drinking Motives Questionnaire-Revised Short Form (DMQ-R-SF) in undergraduates across 10 countries. We expected the four-factor structure to hold across countries, and for social motives to emerge as the most commonly endorsed motive, followed by enhancement, coping and conformity motives. We also compared individualistic and collectivistic countries to examine potential differences in the endorsement of drinking motives when countries were divided according to this broad cultural value. DESIGN AND METHODS: A sample of 8478 undergraduate drinkers from collectivistic (Portugal, Mexico, Brazil, Spain; n = 1567) and individualistic (Switzerland, Hungary, Canada, the Netherlands, the UK and Ireland, and the USA; n = 6911) countries completed the DMQ-R-SF. Countries were classified as individualistic or collectivistic based on world-wide norms. RESULTS: Using multigroup confirmatory factor analysis, the 4-factor model of the DMQ-R-SF showed configural and metric invariance across all 10 countries. As predicted, the rank order of undergraduates' drinking motive endorsement was identical across countries (social > enhancement > coping > conformity), although a mixed model analysis of variance revealed a significant interaction where undergraduates from individualistic countries more strongly endorsed social and enhancement motives relative to undergraduates from collectivistic countries. DISCUSSION AND CONCLUSIONS: There was broad cross-cultural consistency in the factor structure and mean patterns of drinking motives. Undergraduate students appear to drink mainly for positive reinforcement (i.e. for social and enhancement reasons), although this tendency is particularly pronounced among those from more individualistic countries. [Mackinnon SP, Couture M-E, Cooper ML, Kuntsche E, O'Connor RM, Stewart SH, and the DRINC Team. Cross-cultural comparisons of drinking motives in 10 countries: Data from the DRINC project.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.098
Threshold uncertainty score0.279

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.165
GPT teacher head0.434
Teacher spread0.268 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations75
Published2017
Admission routes2
Has abstractyes

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