Literature DB >> 2732070

Research design and analysis issues.

S M McKinlay1, E J Stone, D M Zucker.   

Abstract

The overall perspective of this article is the need for researchers of school-based health promotion to make more progressive use of existing statistical methods to improve both the rigor and the efficiency of school-based experiments. Investigative teams working in the school setting have an advantage over health education researchers working in communities or worksites in that they have greater choice of the experimental unit and usually easier access to large clusters of units. They are, therefore, in a position to make optimal use of a wide variety of experimental designs and observation strategies. In order to make full use of this advantage, however, researchers in this field need to assemble multidisciplinary teams, including researchers from other fields who are not restricted by the traditional approaches evident in many of the current school studies. Such teams should include statisticians and epidemiologists who have broadly-based experimental design and survey experience to work with the health educators and other behavioral and biomedical scientists.

Mesh:

Year:  1989        PMID: 2732070     DOI: 10.1177/109019818901600213

Source DB:  PubMed          Journal:  Health Educ Q        ISSN: 0195-8402


  3 in total

Review 1.  A tale of 3 tails.

Authors:  J B McKinlay; L D Marceau
Journal:  Am J Public Health       Date:  1999-03       Impact factor: 9.308

2.  Motivational intervention to reduce rapid subsequent births to adolescent mothers: a community-based randomized trial.

Authors:  Beth Barnet; Jiexin Liu; Margo DeVoe; Anne K Duggan; Melanie A Gold; Edward Pecukonis
Journal:  Ann Fam Med       Date:  2009 Sep-Oct       Impact factor: 5.166

3.  Home visiting for adolescent mothers: effects on parenting, maternal life course, and primary care linkage.

Authors:  Beth Barnet; Jiexin Liu; Margo DeVoe; Kari Alperovitz-Bichell; Anne K Duggan
Journal:  Ann Fam Med       Date:  2007 May-Jun       Impact factor: 5.166

  3 in total

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