Journal ArticleDOI
The factor structure of a dichotomously scored Rutgers Alcohol Problem Index.
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TLDR
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.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 Sym...read more
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A randomized clinical trial evaluating a combined alcohol intervention for high-risk college students.
Rob Turrisi,Mary E. Larimer,Mary E. Larimer,Kimberly A. Mallett,Jason R. Kilmer,Jason R. Kilmer,Anne E. Ray,Nadine R. Mastroleo,Irene M. Geisner,Irene M. Geisner,Joel R. Grossbard,Joel R. Grossbard,Sean Tollison,Sean Tollison,Ty W. Lostutter,Ty W. Lostutter,Heidi D Montoya,Heidi D Montoya +17 more
TL;DR: The findings of the present study suggest that the parent intervention delivered to students before they begin college serves to enhance the efficacy of the BASICS intervention, potentially priming students to respond to the subsequent BASICS session.
Journal ArticleDOI
Standardized measures of alcohol-related problems: a review of their use among college students.
TL;DR: In a comprehensive review of the college literature, the authors identified 9 measures assessing alcohol-related problems and found that most measures do not assess comprehensively the domains outlined, and instead provide only partial assessments of the potential consequences of drinking for college students.
Journal ArticleDOI
Predicting alcohol consumption in adolescence from alcohol-specific and general externalizing genetic risk factors, key environmental exposures and their interaction
TL;DR: Gene–environment interactions influencing alcohol intake may be more robust at younger ages, indicating greater plasticity of genetic influences early in the development of drinking patterns, and robust evidence for environmental moderation of genetic effects on alcohol consumption that was more pronounced in early and mid-adolescent than in later periods.
Journal ArticleDOI
Evaluating level of specificity of normative referents in relation to personal drinking behavior.
Mary E. Larimer,Debra Kaysen,Christine M. Lee,Jason R. Kilmer,Melissa A. Lewis,Tiara Dillworth,Heidi D Montoya,Clayton Neighbors +7 more
TL;DR: Results suggest that providing normative feedback targeting at least one level of specificity to the participant (i.e., beyond what the "typical" student does) may be an important tool in normative feedback interventions.
Journal ArticleDOI
Protective behavioral strategies and the relationship between depressive symptoms and alcohol-related negative consequences among college students.
Matthew P. Martens,Jessica L. Martin,E. Suzanne Hatchett,Roneferiti M. Fowler,Kristie M. Fleming,Michael A. Karakashian,M. Dolores Cimini +6 more
TL;DR: Results from structural equation modeling analyses indicated that use of PBS partially mediated the relationship between depressive symptoms and alcohol-related negative consequences among college students.
References
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Comparative fit indexes in structural models
TL;DR: A new coefficient is proposed to summarize the relative reduction in the noncentrality parameters of two nested models and two estimators of the coefficient yield new normed (CFI) and nonnormed (FI) fit indexes.
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A rationale and test for the number of factors in factor analysis.
TL;DR: It is suggested that if Guttman's latent-root-one lower bound estimate for the rank of a correlation matrix is accepted as a psychometric upper bound, then the rank for a sample matrix should be estimated by subtracting out the component in the latent roots which can be attributed to sampling error.
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Monitoring the Future: National Results on Adolescent Drug Use: Overview of Key Findings
Journal ArticleDOI
A reliability coefficient for maximum likelihood factor analysis
Ledyard R Tucker,Charles Lewis +1 more
TL;DR: In this paper, a reliability coefficient is proposed to indicate quality of representation of interrelations among attributes in a battery by a maximum likelihood factor analysis, which can indicate that an otherwise acceptable factor model does not exactly represent the interrelations between the attributes for a population.
Journal ArticleDOI
Towards the assessment of adolescent problem drinking.
Helene R. White,Erich Labouvie +1 more
TL;DR: The results suggest that the RAPI may be a useful tool for the standardized and efficient assessment of problem drinking during adolescence.