Literature DB >> 7745183

Achieving statistical power through research design sensitivity.

C T Beck1.   

Abstract

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.

Mesh:

Year:  1994        PMID: 7745183     DOI: 10.1046/j.1365-2648.1994.20050912.x

Source DB:  PubMed          Journal:  J Adv Nurs        ISSN: 0309-2402            Impact factor:   3.187


  2 in total

1.  Alcohol Availability, Cost, Age of First Drink, and Its Association with At-Risk Alcohol Use in Moshi, Tanzania.

Authors:  Catherine A Staton; Duan Zhao; Elizabeth E Ginalis; Jon Mark Hirshon; Francis Sakita; Monica H Swahn; Blandina Theophil Mmbaga; Joao Ricardo Nickenig Vissoci
Journal:  Alcohol Clin Exp Res       Date:  2020-11-10       Impact factor: 3.455

2.  A general model for testing mediation and moderation effects.

Authors:  Amanda J Fairchild; David P MacKinnon
Journal:  Prev Sci       Date:  2009-06
  2 in total

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