R and Quantitative Data Analysis.
The writer discusses the benefits of using R, a tool for social researchers to conduct qualitative data analysis, rather than the more commonly used Statistical Package for the Social Sciences (SPSS). He suggests that R, a powerful and free statistical environment and programming language, might of...
| Publicado en: | Social Research Update no. 55; pp. 1 - 5 |
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| Formato: | Artículo |
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University of Surrey
Spring 2009
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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=ssf&AN=510794865&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 510794865 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 13607898 V74 jtl: Social Research Update issn: 13607898 maglogo: N pubinfo: dt: Spring 2009 iid: 55 pid: 19705 pub: University of Surrey artinfo: ui: 510794865 ppf: 1 ppct: 4 formats: fmt: – @attributes: type: T – @attributes: type: P size: 288KB tig: atl: R and Quantitative Data Analysis. aug: au: Webb, Paul su: Statistical software Social science research Computer software sug: subj: Statistical software Social science research Computer software ab: The writer discusses the benefits of using R, a tool for social researchers to conduct qualitative data analysis, rather than the more commonly used Statistical Package for the Social Sciences (SPSS). He suggests that R, a powerful and free statistical environment and programming language, might offer a possible alternative for researchers who do not have access to SPSS but wish to do quantitative work and a viable alternative for present SPSS users. He outlines how R may be obtained. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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