1990
DOI: 10.1037/0022-006x.58.4.458
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Planning for the appropriate analysis in school-based drug-use prevention studies.

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… Show more

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Cited by 218 publications
(125 citation statements)
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“…To test for a main effect of implementer type on fidelity and immediate student outcomes, we used a mixed-linear model (Murray & Hannan, 1990) as implemented in the SAS statistical package® (SAS Institute, 2004). In each of the models, implementer type (regular classroom teacher or program specialist) was considered as a fixed effect and class nested within school was considered as a random factor.…”
Section: Discussionmentioning
confidence: 99%
“…To test for a main effect of implementer type on fidelity and immediate student outcomes, we used a mixed-linear model (Murray & Hannan, 1990) as implemented in the SAS statistical package® (SAS Institute, 2004). In each of the models, implementer type (regular classroom teacher or program specialist) was considered as a fixed effect and class nested within school was considered as a random factor.…”
Section: Discussionmentioning
confidence: 99%
“…Methods of analysis that account for intact social groups as the unit of randomization and the interdependence of data from members of these social groups have been developed for examining the effects of community-level prevention trials. [27][28][29] The analyses of response data were based on the use of housing developments as the unit of analysis and a mixed-model generalized linear model approach for hypothesis testing. 30 The model describing response Y ijklm of individual m within development l(k) in city k and condition i at survey time point j is as follows:…”
Section: Methodsmentioning
confidence: 99%
“…Sample size calculations for .90 statistical power were based on methods specifically focused on nested cohort designs (Koepsell T, 1998, Murray andHannan, 1990). Based on these calculations, 16 PAT programs from rural, southeast Missouri were identified and recruited into the study.…”
Section: Sample Recruitment and Randomizationmentioning
confidence: 99%