Literature DB >> 3878888

Attrition in prevention research.

W B Hansen, L M Collins, C K Malotte, C A Johnson, J E Fielding.   

Abstract

Selective attrition can detract from the internal and external validity of longitudinal research. Four tests of selective attrition applicable to longitudinal prevention research were conducted on data bases from two recent studies. These tests assessed (1) differences between dropouts and stayers in terms of pretest indices of primary outcome variables (substance use), (2) differences in change scores for dropouts and stayers, (3) differences in rates of attrition among experimental conditions, and (4) differences in pretest indices for dropouts among conditions. Results of these analyses indicate that cigarette smokers, alcohol drinkers, and marijuana users are more likely to drop out than nonusers, limiting the external validity of both studies. For one project, differential rates of attrition among conditions suggested a possible attrition artifact which will interfere with interpretation of outcome results, possibly masking true program effectiveness. Recommendations for standardizing reports of attrition and for avoiding attrition through second efforts are made.

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Year:  1985        PMID: 3878888     DOI: 10.1007/bf00870313

Source DB:  PubMed          Journal:  J Behav Med        ISSN: 0160-7715


  7 in total

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Journal:  J Behav Med       Date:  1980-03

6.  Pilot study of smoking, alcohol and drug abuse prevention.

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Journal:  Am J Public Health       Date:  1980-07       Impact factor: 9.308

7.  A paradox in the interpretation of group comparisons.

Authors:  F M Lord
Journal:  Psychol Bull       Date:  1967-11       Impact factor: 17.737

  7 in total
  30 in total

1.  Personal competence skills, distress, and well-being as determinants of substance use in a predominantly minority urban adolescent sample.

Authors:  Kenneth W Griffin; Gilbert J Botvin; Lawrence M Scheier; Jennifer A Epstein; Margaret M Doyle
Journal:  Prev Sci       Date:  2002-03

2.  A replicable model for achieving over 90% follow-up rates in longitudinal studies of substance abusers.

Authors:  Christy K Scott
Journal:  Drug Alcohol Depend       Date:  2004-04-09       Impact factor: 4.492

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Authors:  C L Perry; S H Kelder; D M Murray; K I Klepp
Journal:  Am J Public Health       Date:  1992-09       Impact factor: 9.308

4.  Predictors of Attrition in a Cohort Study of HIV Infection and Methamphetamine Dependence.

Authors:  J Cattie; M J Marquine; K A Bolden; L C Obermeit; E E Morgan; D R Franklin; A Umlauf; J M Beck; J H Atkinson; I Grant; S P Woods
Journal:  J Subst Use       Date:  2015-02-03

5.  Standards of evidence: criteria for efficacy, effectiveness and dissemination.

Authors:  Brian R Flay; Anthony Biglan; Robert F Boruch; Felipe González Castro; Denise Gottfredson; Sheppard Kellam; Eve K Mościcki; Steven Schinke; Jeffrey C Valentine; Peter Ji
Journal:  Prev Sci       Date:  2005-09

6.  Association of multiple behavioral risk factors with adolescents' willingness to engage in eHealth promotion.

Authors:  Kenneth P Tercyak; Anisha A Abraham; Amanda L Graham; Lara D Wilson; Leslie R Walker
Journal:  J Pediatr Psychol       Date:  2008-08-22

7.  Effects of a community-based prevention program on decreasing drug use in high-risk adolescents.

Authors:  C P Chou; S Montgomery; M A Pentz; L A Rohrbach; C A Johnson; B R Flay; D P MacKinnon
Journal:  Am J Public Health       Date:  1998-06       Impact factor: 9.308

8.  Interruption of physical activity because of illness in the Lifestyle Interventions and Independence for Elders Pilot trial.

Authors:  Edward M Phillips; Jeffrey Katula; Michael E Miller; Michael P Walkup; Jennifer S Brach; Abby C King; W Jack Rejeski; Tim Church; Roger A Fielding
Journal:  J Aging Phys Act       Date:  2010-01       Impact factor: 1.961

9.  An Algorithm for Creating Virtual Controls Using Integrated and Harmonized Longitudinal Data.

Authors:  William B Hansen; Shyh-Huei Chen; Santiago Saldana; Edward H Ip
Journal:  Eval Health Prof       Date:  2018-05-03       Impact factor: 2.651

10.  Testing the generalizability of intervening mechanism theories: understanding the effects of adolescent drug use prevention interventions.

Authors:  S I Donaldson; J W Graham; W B Hansen
Journal:  J Behav Med       Date:  1994-04
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