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Achieving statistical power through research design sensitivity
Author(s) -
Beck Cheryl Tatano
Publication year - 1994
Publication title -
journal of advanced nursing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.948
H-Index - 155
eISSN - 1365-2648
pISSN - 0309-2402
DOI - 10.1046/j.1365-2648.1994.20050912.x
Subject(s) - statistical power , research design , sample size determination , computer science , sensitivity (control systems) , psychological intervention , clinical study design , power (physics) , sample (material) , null hypothesis , design of experiments , management science , reliability engineering , risk analysis (engineering) , medicine , statistics , mathematics , engineering , nursing , chemistry , pathology , quantum mechanics , chromatography , electronic engineering , clinical trial , physics
The challenge for nurse researchers is to design their intervention studies with sufficient sensitivity to detect the treatment effects they are investigating In order to meet this challenge, researchers must understand the factors that influence statistical power Underpowered studies can result in a majority of null results in a research area when, in fact, the interventions are effective The sensitivity of a research design is not a function of just one element of the design but of the entire research design its plan, implementation and statistical analysis When discussing factors that can increase a research design's statistical power, attention is most often focused on increasing sample size This paper addresses a variety of factors and techniques, other than increasing sample size, that nurse researchers can use to enhance the sensitivity of a research design so that it can attain adequate power