Literature DB >> 2212183

Planning for the appropriate analysis in school-based drug-use prevention studies.

D M Murray1, P J Hannan.   

Abstract

School-based drug-use prevention studies often apply interventions to entire schools. A major problem for these studies results from the intragroup dependence often seen when intact social groups are assigned to study conditions. Analysis of data from 2 such studies revealed intraclass correlation coefficients between 0.02 and 0.05 for common drug use measures. Because even such modest intragroup dependence can invalidate the traditional fixed-effects analyses, researchers should adopt alternative methods that acknowledge this dependence. These alternative methods are reviewed, and appropriate methods for computing sample size requirements are illustrated. Investigators should consider these analysis issues when planning future studies, because the number of schools required for an unbiased analysis may be substantially greater than for the traditional methods.

Mesh:

Year:  1990        PMID: 2212183     DOI: 10.1037//0022-006x.58.4.458

Source DB:  PubMed          Journal:  J Consult Clin Psychol        ISSN: 0022-006X


  54 in total

1.  The alcohol warning and adolescents: 5-year effects.

Authors:  D P MacKinnon; L Nohre; M A Pentz; A W Stacy
Journal:  Am J Public Health       Date:  2000-10       Impact factor: 9.308

2.  Drug abuse prevention among minority adolescents: posttest and one-year follow-up of a school-based preventive intervention.

Authors:  G J Botvin; K W Griffin; T Diaz; M Ifill-Williams
Journal:  Prev Sci       Date:  2001-03

3.  Individual and school level effects of perceived harm, perceived availability, and community size on marijuana use among 12th-grade students: a random effects model.

Authors:  Randall C Swaim
Journal:  Prev Sci       Date:  2003-06

4.  Increasing hospice services for elderly patients maintained with hemodialysis.

Authors:  Lewis M Cohen; Robin Ruthazer; Michael J Germain
Journal:  J Palliat Med       Date:  2010-07       Impact factor: 2.947

5.  The influence of three mass media campaigns on variables related to adolescent cigarette smoking: results of a field experiment.

Authors:  K E Bauman; J LaPrelle; J D Brown; G G Koch; C A Padgett
Journal:  Am J Public Health       Date:  1991-05       Impact factor: 9.308

6.  Outcomes of a randomized community-level HIV prevention intervention for women living in 18 low-income housing developments.

Authors:  K J Sikkema; J A Kelly; R A Winett; L J Solomon; V A Cargill; R A Roffman; T L McAuliffe; T G Heckman; E A Anderson; D A Wagstaff; A D Norman; M J Perry; D A Crumble; M B Mercer
Journal:  Am J Public Health       Date:  2000-01       Impact factor: 9.308

Review 7.  Family-based programmes for preventing smoking by children and adolescents.

Authors:  Roger E Thomas; Philip R A Baker; Bennett C Thomas; Diane L Lorenzetti
Journal:  Cochrane Database Syst Rev       Date:  2015-02-27

8.  Short-term effects of Project EX-4: a classroom-based smoking prevention and cessation intervention program.

Authors:  Ping Sun; James Miyano; Louise Ann Rohrbach; Clyde W Dent; Steve Sussman
Journal:  Addict Behav       Date:  2006-07-03       Impact factor: 3.913

9.  Predicting nursing facility residents' quality of life using external indicators.

Authors:  Howard B Degenholtz; Rosalie A Kane; Robert L Kane; Boris Bershadsky; Kristen C Kling
Journal:  Health Serv Res       Date:  2006-04       Impact factor: 3.402

10.  Multiple Levels of Influence That Impact Youth Tobacco Use.

Authors:  Patricia A Cavazos-Rehg; Melissa J Krauss; Shaina J Sowles; Edward L Spitznagel; Richard Grucza; Frank J Chaloupka; Laura J Bierut
Journal:  Tob Regul Sci       Date:  2016-04
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