Addressing nonresponse bias in postal surveys.
Postal surveys are sometimes thought of as a simple option for collecting data in community-based studies; however, nurse researchers must exercise care in appropriately addressing the issue of nonresponse. In particular, both the reporters and the users of such research should look beyond survey re...
| Publicado en: | Public Health Nursing Vol. 26; no. 1; pp. 95 - 106 |
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| Autores principales: | , , , |
| Formato: | case study review tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
Jan/Feb2009
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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=105605283&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 105605283 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 07371209 2B6 jtl: Public Health Nursing issn: 07371209 maglogo: Y pubinfo: dt: Jan/Feb2009 vid: 26 iid: 1 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 105605283 35818267 2010144022 10.1111/j.1525-1446.2008.00758.x NLM19154197 105605283 ppf: 95 ppct: 11 formats: tig: atl: Addressing nonresponse bias in postal surveys. aug: au: MacDonald SE Newburn-Cook CV Schopflocher D Richter S affil: Doctoral student, Faculty of Nursing, University of Alberta, 4-103 Clinical Sciences Building, Edmonton, Alberta, Canada T6G 2G3; smacdon@ualberta.ca sug: subj: Nonresponse Bias Surveys Bias (Research) Content Validity Data Analysis, Statistical Methods Refusal to Participate Research Subject Recruitment Methods Research, Nursing Sampling Error Study Design ab: Postal surveys are sometimes thought of as a simple option for collecting data in community-based studies; however, nurse researchers must exercise care in appropriately addressing the issue of nonresponse. In particular, both the reporters and the users of such research should look beyond survey response rates when considering nonresponse bias. This article describes the benefits of using postal surveys in public health nursing research, while noting the various potential sources of survey error. Particular attention is directed to the implications of low survey response rates, including decreased power, increased standard error, and nonresponse bias. The belief that increasing response rates will necessarily reduce nonresponse bias is discussed, with an emphasis on the need to identify the reasons for nonresponse and to be judicious in the use of strategies to reduce nonresponse bias. Common response-enhancement strategies are identified, while noting the potential for these strategies to increase nonresponse bias. Assessment of the presence and magnitude of nonresponse bias is discussed, and techniques for postsurvey data adjustment are noted. The need to consider nonresponse bias in designing all phases of the study is highlighted, and is exemplified with a case study. pubtype: Academic Journal doctype: case study review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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