Baguley, T.S. ORCID: 0000-0002-0477-2492,
2004.
Understanding statistical power in the context of applied research.
Applied Ergonomics, 35, pp. 73-80.
ISSN 0003-6870
|
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: |
|
||||
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 |
Views
Views per month over past year
Downloads
Downloads per month over past year