Maximizing the Yield of Small Samples in Prevention Research: A Review of General Strategies and Best Practices

Maximizing the Yield of Small Samples in Prevention Research: A Review of General Strategies and... The goal of this manuscript is to describe strategies for maximizing the yield of data from small samples in prevention research. We begin by discussing what “small” means as a description of sample size in prevention research. We then present a series of practical strategies for getting the most out of data when sample size is small and constrained. Our focus is the prototypic between-group test for intervention effects; however, we touch on the circumstance in which intervention effects are qualified by one or more moderators. We conclude by highlighting the potential usefulness of graphical methods when sample size is too small for inferential statistical methods. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Prevention Science Springer Journals

Maximizing the Yield of Small Samples in Prevention Research: A Review of General Strategies and Best Practices

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Publisher
Springer US
Copyright
Copyright © 2015 by Society for Prevention Research
Subject
Medicine & Public Health; Public Health; Health Psychology; Child and School Psychology
ISSN
1389-4986
eISSN
1573-6695
D.O.I.
10.1007/s11121-014-0542-7
Publisher site
See Article on Publisher Site

Abstract

The goal of this manuscript is to describe strategies for maximizing the yield of data from small samples in prevention research. We begin by discussing what “small” means as a description of sample size in prevention research. We then present a series of practical strategies for getting the most out of data when sample size is small and constrained. Our focus is the prototypic between-group test for intervention effects; however, we touch on the circumstance in which intervention effects are qualified by one or more moderators. We conclude by highlighting the potential usefulness of graphical methods when sample size is too small for inferential statistical methods.

Journal

Prevention ScienceSpringer Journals

Published: Jan 13, 2015

References

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