Understanding statistical power in the context of applied research

Baguley, TS ORCID: https://orcid.org/0000-0002-0477-2492, 2004. Understanding statistical power in the context of applied research. Applied Ergonomics, 35, pp. 73-80. ISSN 0003-6870

Preview

Text 195856_25 Baguley Postprint.pdf Download (42kB) | Preview

Abstract

Estimates of statistical power are widely used in applied research for purposes such as sample size calculations. This paper reviews the benefits of power and sample size estimation and considers several problems with the use of power calculations in applied research that result from misunderstandings or misapplications of statistical power. These problems include the use of retrospective power calculations and standardized measures of effect size. Methods of increasing the power of proposed research that do not involve merely increasing sample size (such as reduction in measurement error, increasing ‘dose’ of the independent variable and optimizing the design) are noted. It is concluded that applied researchers should consider a broader range of factors (other than sample size) that influence statistical power, and that the use of standardized measures of effect size should be avoided (except as intermediate stages in prospective power or sample size calculations).

Item Type:	Journal article
Publication Title:	Applied Ergonomics
Creators:	Baguley, T.S.
Publisher:	Elsevier
Date:	2004
Volume:	35
ISSN:	0003-6870
Identifiers:	Number Type 10.1016/j.apergo.2004.01.002 DOI
Divisions:	Schools > School of Social Sciences
Record created by:	EPrints Services
Date Added:	09 Oct 2015 09:49
Last Modified:	09 Jun 2017 13:11
URI:	https://irep.ntu.ac.uk/id/eprint/3374

Actions (login required)

Edit View

Statistics

Views

Downloads