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 Best Practices.
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DOI：
10.1007/s11121-014-0542-7
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发表时间：
2015-10
期刊：
影响因子：
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通讯作者：
Gottfredson NC
中科院分区：
文献类型：
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作者：
Hopkin CR;Hoyle RH;Gottfredson NC
这篇论文的目标是描述在预防研究中从小样本中最大限度地获得数据的策略。我们首先讨论“小”在预防研究中作为样本量描述的含义。然后，我们提出了一系列实用的策略，以便在样本量小且受限的情况下最大限度地利用数据。我们的重点是干预效果的原型组间测试；然而，我们触及的情况下，干预效果是合格的一个或多个调节。最后，我们强调了当样本量太小而无法使用推理统计方法时，图形方法的潜在有用性。
The goal of this manuscript is 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.