Analysing complex survey data.
Biased point averages, inappropriate standard errors, and misleading tests of significance can result from utilizing traditional software packages for complex survey analysis. Furthermore, the analysis of complex survey data without the use of specialized software can lead to model misspecification...
| Publicado en: | Social Work Research Vol. 25; no. 3; pp. 185 - 193 |
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| Autores principales: | , |
| Formato: | Artículo |
| Publicado: |
National Association of Social Workers
September 2001
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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=507708245&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 507708245 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 10705309 SWK jtl: Social Work Research issn: 10705309 maglogo: N pubinfo: dt: September 2001 vid: 25 iid: 3 pid: 271 pub: National Association of Social Workers artinfo: ui: 507708245 ppf: 185 ppct: 8 formats: fmt: – @attributes: type: T – @attributes: type: P size: 1.4MB tig: atl: Analysing complex survey data. aug: au: Rodgers-Farmer, Antoinette Y. Davis, Diane su: Statistics Social services Methodology sug: subj: Statistics Social services Methodology ab: Biased point averages, inappropriate standard errors, and misleading tests of significance can result from utilizing traditional software packages for complex survey analysis. Furthermore, the analysis of complex survey data without the use of specialized software can lead to model misspecification, which has implications for social work practice and policy. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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