Literature DB >> 8952207

Intraclass correlation among measures related to alcohol use by school aged adolescents: estimates, correlates and applications in intervention studies.

D M Murray1, B Short.   

Abstract

School-based alcohol use prevention studies frequently employ designs in which schools are assigned to treatment conditions while observations are made on individuals. The nesting of schools within treatment conditions requires that the treatment effect be assessed against the between-school variance; unfortunately, that variance is usually larger than for randomly constituted groups and its precision is usually less than that for the within-school variance. These factors often combine to reduce power substantially. To address these problems, investigators need good estimates for the intraclass correlation which together with the number of observations per school determines the magnitude of the extra variation in the nested design. This article presents estimates of school-level intraclass correlation for measures related to alcohol use among ninth and twelfth grade students and discusses their use in planning new studies and analyzing previous or current studies.

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Year:  1996        PMID: 8952207     DOI: 10.2190/KBHP-6FRT-U0BN-VAUC

Source DB:  PubMed          Journal:  J Drug Educ        ISSN: 0047-2379


  14 in total

Review 1.  Design and analysis of group-randomized trials: a review of recent methodological developments.

Authors:  David M Murray; Sherri P Varnell; Jonathan L Blitstein
Journal:  Am J Public Health       Date:  2004-03       Impact factor: 9.308

2.  When intraclass correlation coefficients go awry: a case study from a school-based smoking prevention study in South Africa.

Authors:  Ken Resnicow; Nanhua Zhang; Roger D Vaughan; Sasiragha Priscilla Reddy; Shamagonam James; David M Murray
Journal:  Am J Public Health       Date:  2010-02-18       Impact factor: 9.308

3.  A latent class analysis of underage problem drinking: evidence from a community sample of 16-20 year olds.

Authors:  Beth A Reboussin; Eun-Young Song; Anshu Shrestha; Kurt K Lohman; Mark Wolfson
Journal:  Drug Alcohol Depend       Date:  2005-12-15       Impact factor: 4.492

4.  How substance use differs among American secondary schools.

Authors:  Patrick M O'Malley; Lloyd D Johnston; Jerald G Bachman; John E Schulenberg; Revathy Kumar
Journal:  Prev Sci       Date:  2006-12

5.  Modeling adolescent drug-use patterns in cluster-unit trials with multiple sources of correlation using robust latent class regressions.

Authors:  Beth A Reboussin; Kurt K Lohman; Mark Wolfson
Journal:  Ann Epidemiol       Date:  2006-10-04       Impact factor: 3.797

6.  The importance and role of intracluster correlations in planning cluster trials.

Authors:  John S Preisser; Beth A Reboussin; Eun-Young Song; Mark Wolfson
Journal:  Epidemiology       Date:  2007-09       Impact factor: 4.822

7.  Are college student smokers really a homogeneous group? a latent class analysis of college student smokers.

Authors:  Erin L Sutfin; Beth A Reboussin; Thomas P McCoy; Mark Wolfson
Journal:  Nicotine Tob Res       Date:  2009-03-05       Impact factor: 4.244

8.  Prevalence and correlates of waterpipe tobacco smoking by college students in North Carolina.

Authors:  Erin L Sutfin; Thomas P McCoy; Beth A Reboussin; Kimberly G Wagoner; John Spangler; Mark Wolfson
Journal:  Drug Alcohol Depend       Date:  2011-02-25       Impact factor: 4.492

9.  Correlates of smokeless tobacco use among first year college students.

Authors:  John Spangler; Eunyoung Song; Jessica Pockey; Erin L Sutfin; Beth A Reboussin; Kimberly Wagoner; Mark Wolfson
Journal:  Health Educ J       Date:  2014-11

10.  Marijuana use trajectories and academic outcomes among college students.

Authors:  Cynthia K Suerken; Beth A Reboussin; Kathleen L Egan; Erin L Sutfin; Kimberly G Wagoner; John Spangler; Mark Wolfson
Journal:  Drug Alcohol Depend       Date:  2016-03-19       Impact factor: 4.492

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