Statistical Power in Nursing Education Research.
Nursing researchers have been encouraged for decades to address the validity of their statistical conclusions in part by accumulating evidence from studies that are capable of correctly identifying relationships between variables when those relationships are truly present. However, it has been noted...
| Publicado en: | Journal of Nursing Education Vol. 57; no. 5; pp. 262 - 265 |
|---|---|
| Autores principales: | , |
| Formato: | Journal Article |
| Publicado: |
SLACK Incorporated
May2018
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=129416867&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 129416867 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01484834 4C7 jtl: Journal of Nursing Education issn: 01484834 maglogo: N pubinfo: dt: May2018 vid: 57 iid: 5 pid: 1693 pub: SLACK Incorporated place: Thorofare, New Jersey artinfo: ui: 129416867 10.3928/01484834-20180420-02 129416867 ppf: 262 ppct: 3 formats: tig: atl: Statistical Power in Nursing Education Research. aug: au: Taylor, John Spurlock, Darrell affil: Assistant Professor, School of Nursing, Saint Louis University, St. Louis, Missouri sug: subj: Education, Nursing Research, Nursing Power Analysis Methods Inferential Statistics Research Nurses Type II Error ab: Nursing researchers have been encouraged for decades to address the validity of their statistical conclusions in part by accumulating evidence from studies that are capable of correctly identifying relationships between variables when those relationships are truly present. However, it has been noted that only a fraction of nursing studies appear to have undertaken power analyses to help mitigate the risk of Type II statistical conclusion errors. This Methodology Corner article reviews some of the major aspects of power analysis procedures and reiterates recommendations that researchers who plan to use inferential statistical analyses also conduct a power analysis to guide decision making about target sample sizes to increase the validity of study findings. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|