Muncer, S. J. and Taylor, S. and Craigie, M. (2002) 'Power dressing and meta-analysis : incorporating power analysis into meta-analysis.', Journal of advanced nursing., 38 (3). pp. 274-280.
Aims. This paper highlights the lack of consideration that is given to power in the health and social sciences, which is a continuing problem with both single study research and more importantly for meta-analysis. Background. The power of a study is the probability that it will lead to a statistically significant result. By ignoring power the single study researcher makes it difficult to get negative results published and therefore affects meta-analysis through publication bias. Researchers using meta-analysis, who also ignore power, then compound the problem by including studies with low power that are more likely to show significant effects. Method. A simple means of calculating an easily understood measure of effect size from a contingency table is demonstrated in this paper. A computer programme for determining the power of a study is recommended and a method of reflecting the adequacy of the power of the studies in a meta-analysis is suggested. An example of this calculation from a meta-analytic study on intravenous magnesium, which produced inaccurate results, is provided. Conclusion. It is demonstrated that incorporating power analysis into this meta-analysis would have prevented misleading conclusions being reached. Some suggestions are made for changes in the protocol of meta-analytic studies, which highlight the importance of power analysis.
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|Publisher Web site:||http://dx.doi.org/10.1046/j.1365-2648.2002.02177.x|
|Record Created:||29 Mar 2007|
|Last Modified:||08 Apr 2009 16:28|
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