Literature DB >> 26589725

How Should Alcohol Problems Be Conceptualized? Causal Indicators Within the Rutgers Alcohol Problem Index.

Brooke J Arterberry1, Ting-Huei Chen2, Alvaro Vergés3, Kenneth A Bollen4, Matthew P Martens5.   

Abstract

Alcohol-related problems have traditionally been conceptualized and measured by an effect indicator model. That is, it is generally assumed that observed indicators of alcohol problems are caused by a latent variable. However, there are reasons to think that this construct is more accurately conceptualized as including at least some causal indicators, in which observed indicators cause the latent variable. The present study examined the measurement model of a well-known alcohol consequences questionnaire, the Rutgers Alcohol Problem Index. Participants were 703 students from a large public university in the Northeast mandated to an alcohol intervention. We conducted a zero tetrad test to examine a measurement model consisting solely of effect indicators and a model with both causal and effect indicators. Overall, the results suggested the hybrid model fit the data better than a model with only effect indicators. These findings have implications regarding the theoretical underpinnings of alcohol-related consequences.
© The Author(s) 2015.

Entities:  

Keywords:  alcohol-related consequences; causal indicators; zero tetrad test

Mesh:

Year:  2015        PMID: 26589725      PMCID: PMC6659719          DOI: 10.1177/0163278715616440

Source DB:  PubMed          Journal:  Eval Health Prof        ISSN: 0163-2787            Impact factor:   2.651


  22 in total

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Authors:  K A Bollen; K F Ting
Journal:  Psychol Methods       Date:  2000-03

2.  Protective behavioral strategies when drinking alcohol and their relationship to negative alcohol-related consequences in college students.

Authors:  Matthew P Martens; Kari K Taylor; Krista M Damann; Jennifer C Page; Emily S Mowry; M Dolores Cimini
Journal:  Psychol Addict Behav       Date:  2004-12

3.  Reconsidering formative measurement.

Authors:  Roy D Howell; Einar Breivik; James B Wilcox
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4.  Evaluating a brief alcohol intervention with fraternities.

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Journal:  J Stud Alcohol       Date:  2001-05

5.  Toward efficient and comprehensive measurement of the alcohol problems continuum in college students: the brief young adult alcohol consequences questionnaire.

Authors:  Christopher W Kahler; David R Strong; Jennifer P Read
Journal:  Alcohol Clin Exp Res       Date:  2005-07       Impact factor: 3.455

6.  Trends in college binge drinking during a period of increased prevention efforts. Findings from 4 Harvard School of Public Health College Alcohol Study surveys: 1993-2001.

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Journal:  J Am Coll Health       Date:  2002-03

7.  Measurement of alcohol-related consequences among high school and college students: application of item response models to the Rutgers Alcohol Problem Index.

Authors:  Dan J Neal; William R Corbin; Kim Fromme
Journal:  Psychol Assess       Date:  2006-12

8.  Targeting misperceptions of descriptive drinking norms: efficacy of a computer-delivered personalized normative feedback intervention.

Authors:  Clayton Neighbors; Mary E Larimer; Melissa A Lewis
Journal:  J Consult Clin Psychol       Date:  2004-06

9.  The factor structure of a dichotomously scored Rutgers Alcohol Problem Index.

Authors:  Matthew P Martens; Clayton Neighbors; Kristen Dams-O'Connor; Christine M Lee; Mary E Larimer
Journal:  J Stud Alcohol Drugs       Date:  2007-07       Impact factor: 2.582

10.  Assessing alcohol problems in college students.

Authors:  S C Hurlbut; K J Sher
Journal:  J Am Coll Health       Date:  1992-09
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  3 in total

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Authors:  Patricia A Goodhines; Les A Gellis; Jueun Kim; Lisa M Fucito; Aesoon Park
Journal:  Behav Sleep Med       Date:  2017-08-31       Impact factor: 2.964

2.  The Rutgers Alcohol Problem Index for Adolescent Alcohol and Drug Problems: A Comprehensive Modern Psychometric Study.

Authors:  Yusuke Shono; Susan L Ames; Michael C Edwards; Alan W Stacy
Journal:  J Stud Alcohol Drugs       Date:  2018-07       Impact factor: 2.582

3.  Differential brain responses to alcohol-related and natural rewards are associated with alcohol use and problems: Evidence for reward dysregulation.

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Journal:  Addict Biol       Date:  2021-12-07       Impact factor: 4.280

  3 in total

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