The factor structure of a dichotomously scored Rutgers Alcohol Problem Index

J Stud Alcohol Drugs. 2007 Jul;68(4):597-606. doi: 10.15288/jsad.2007.68.597.

Abstract

Objective: Heavy college-student alcohol use and its resulting negative consequences represent a public-health problem on American college campuses. The Rutgers Alcohol Problem Index (RAPI) is a commonly used measure of alcohol problems among college students, but the psychometric properties of this measure never have been comprehensively assessed with the college-student population. The purpose of this research was to conduct reliability and validity analyses, particularly exploratory and confirmatory factor analysis, on a dichotomously scored version of the measure.

Method: Data were collected on 4,686 undergraduate students at a large, public university in the Northwest region of the United States and 438 students at a large, public university in the Northeast.

Results: Exploratory factor analysis suggested that a three-factor model provided the best fit to the data. This finding was replicated via confirmatory factor analyses in two separate samples. The three factors were labeled Abuse/Dependence Symptoms, Personal Consequences, and Social Consequences. Each individual factor demonstrated adequate internal consistency and convergent validity.

Conclusion: The results of this study suggest that a dichotomously scored RAPI consists of three subfactors that are reliable and valid in identifying alcohol-related problems among college students.

Publication types

  • Multicenter Study
  • Research Support, N.I.H., Extramural

MeSH terms

  • Adolescent
  • Adult
  • Alcohol-Related Disorders / diagnosis*
  • Alcohol-Related Disorders / epidemiology
  • Alcohol-Related Disorders / prevention & control
  • Alcohol-Related Disorders / psychology
  • Cross-Sectional Studies
  • Female
  • Health Education
  • Humans
  • Male
  • Mass Screening* / statistics & numerical data
  • Models, Statistical
  • Motivation
  • Psychometrics / statistics & numerical data
  • Reproducibility of Results
  • Students / psychology*
  • Students / statistics & numerical data
  • Surveys and Questionnaires*