Obtaining power or obtaining precision. Delineating methods of sample-size planning.

Abstract:

:Sample-size planning historically has been approached from a power analytic perspective in order to have some reasonable probability of correctly rejecting the null hypothesis. Another approach that is not as well-known is one that emphasizes accuracy in parameter estimation (AIPE). From the AIPE perspective, sample size is chosen such that the expected width of a confidence interval will be sufficiently narrow. The rationales of both approaches are delineated and two procedures are given for estimating the sample size from the AIPE perspective for a two-group mean comparison. One method yields the required sample size, such that the expected width of the computed confidence interval will be the value specified. A modification allows for a defined degree of probabilistic assurance that the width of the computed confidence interval will be no larger than specified. The authors emphasize that the correct conceptualization of sample-size planning depends on the research questions and particular goals of the study.

journal_name

Eval Health Prof

authors

Kelley K,Maxwell SE,Rausch JR

doi

10.1177/0163278703255242

subject

Has Abstract

pub_date

2003-09-01 00:00:00

pages

258-87

issue

3

eissn

0163-2787

issn

1552-3918

journal_volume

26

pub_type

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