The Use of Archival Data To Select and Assign Schools in a Drug Prevention Trial

Clyde W. Dent, Steve Sussman and Brian R. Flay
Additional contact information
Clyde W. Dent: University of Southern California
Steve Sussman: University of Southern California
Brian R. Flay: University of Illinois

Evaluation Review, 1993, vol. 17, issue 2, 159-181

Abstract: School-based prevention trials typically face large variations in school composition and levels ofpreintervention behavior. Such variations may inhibit efforts to maximize internal and external validity. This article presents a method for using school-level attributes in sample description and random assignment of schools to conditions. The utility of the archival data was examined using multivanate canonical techniques. The authors found that a small set of attributes could efficiently predict the observed school-level variations in smoking and other drug use. It is recommended that these attributes be used by other school-based studies to enhance experimen talfield studies.

Date: 1993
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/0193841X9301700203 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sae:evarev:v:17:y:1993:i:2:p:159-181

DOI: 10.1177/0193841X9301700203

Access Statistics for this article

More articles in Evaluation Review
Bibliographic data for series maintained by SAGE Publications ().