Using the ‘new’ statistics in nursing research.
This paper argues that quantitative methods are under-used in nursing research. Although this is often because the qualitative approach is the most appropriate, it may also be because nurse researchers are not fully aware of modern, sophisticated data analysis techniques and have tended to use simpl...
| Publicado en: | Journal of Advanced Nursing (Wiley-Blackwell) Vol. 27; no. 1; pp. 132 - 140 |
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| Autores principales: | , |
| Formato: | Journal Article |
| Publicado: |
Wiley-Blackwell
Jan1998
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| 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=5277922&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 5277922 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 03092402 4BG jtl: Journal of Advanced Nursing (Wiley-Blackwell) issn: 03092402 maglogo: Y pubinfo: dt: Jan1998 vid: 27 iid: 1 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 5277922 5277922 10.1046/j.1365-2648.1998.00506.x 5277922 ppf: 132 ppct: 8 formats: tig: atl: Using the ‘new’ statistics in nursing research. aug: au: PhD, Phillip Ratcliffe Ratcliffe, Phillip sug: ab: This paper argues that quantitative methods are under-used in nursing research. Although this is often because the qualitative approach is the most appropriate, it may also be because nurse researchers are not fully aware of modern, sophisticated data analysis techniques and have tended to use simple statistical techniques that often make the quantitative analysis of complex data very difficult and produce simplistic and unsatisfactory answers. The paper briefly discusses probability and survival modelling techniques suitable for use in complex nursing research situations and argues that these methods may help to bridge the qualitative–quantitative gap. Although these techniques are mathematically complex, they are easily applied in practice using dedicated computer programs. The paper describes their application using one such program, GLIM 4. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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