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Evaluating Survey Quality in Health Services Research: A Decision Framework for Assessing Nonresponse Bias
Objective To address the issue of nonresponse as problematic and offer appropriate strategies for assessing nonresponse bias. Study Design A review of current strategies used to assess the quality of survey data and the challenges associated with these strategies is provided along with appropriate p...
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| Published in: | Health services research 2013-06, Vol.48 (3), p.913-930 |
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| Main Authors: | , |
| Format: | Article |
| Language: | English |
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| cited_by | cdi_FETCH-LOGICAL-c7842-4def51493ca930fe4891ea6dd86c756d5fbbd7079026cdcb45c30c75aecb77ed3 |
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| cites | cdi_FETCH-LOGICAL-c7842-4def51493ca930fe4891ea6dd86c756d5fbbd7079026cdcb45c30c75aecb77ed3 |
| container_end_page | 930 |
| container_issue | 3 |
| container_start_page | 913 |
| container_title | Health services research |
| container_volume | 48 |
| creator | Halbesleben, Jonathon R. B. Whitman, Marilyn V. |
| description | Objective
To address the issue of nonresponse as problematic and offer appropriate strategies for assessing nonresponse bias.
Study Design
A review of current strategies used to assess the quality of survey data and the challenges associated with these strategies is provided along with appropriate post‐data collection techniques that researchers should consider.
Principal Findings
Response rates are an incomplete assessment of survey data quality, and quick reactions to response rate should be avoided. Based on a five‐question decision making framework, we offer potential ways to assess nonresponse bias, along with a description of the advantages and disadvantages to each.
Conclusions
It is important that the quality of survey data be considered to assess the relative contribution to the literature of a given study. Authors and funding agencies should consider the potential effects of nonresponse bias both before and after survey administration and report the results of assessments of nonresponse bias in addition to response rates. |
| doi_str_mv | 10.1111/1475-6773.12002 |
| format | article |
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To address the issue of nonresponse as problematic and offer appropriate strategies for assessing nonresponse bias.
Study Design
A review of current strategies used to assess the quality of survey data and the challenges associated with these strategies is provided along with appropriate post‐data collection techniques that researchers should consider.
Principal Findings
Response rates are an incomplete assessment of survey data quality, and quick reactions to response rate should be avoided. Based on a five‐question decision making framework, we offer potential ways to assess nonresponse bias, along with a description of the advantages and disadvantages to each.
Conclusions
It is important that the quality of survey data be considered to assess the relative contribution to the literature of a given study. Authors and funding agencies should consider the potential effects of nonresponse bias both before and after survey administration and report the results of assessments of nonresponse bias in addition to response rates.</description><identifier>ISSN: 0017-9124</identifier><identifier>EISSN: 1475-6773</identifier><identifier>DOI: 10.1111/1475-6773.12002</identifier><identifier>PMID: 23046097</identifier><identifier>CODEN: HESEA5</identifier><language>eng</language><publisher>United States: Blackwell Publishing Ltd</publisher><subject>Assessment ; Bias ; Data Collection - methods ; Data Collection - standards ; Data Interpretation, Statistical ; Decision making ; Financing ; Health care delivery ; Health care industry ; Health services ; Health Services Research - methods ; Humans ; Medical care ; Medical care quality ; Methods Corner ; Nonresponse ; Nonresponse bias ; Polls & surveys ; Quality management ; Research Design - standards ; Research methodology ; Response rate ; Response rates ; Studies ; survey quality ; Surveys ; Surveys and Questionnaires</subject><ispartof>Health services research, 2013-06, Vol.48 (3), p.913-930</ispartof><rights>Health Research and Educational Trust</rights><rights>Health Research and Educational Trust.</rights><rights>COPYRIGHT 2013 Health Research and Educational Trust</rights><rights>COPYRIGHT 2013 Health Research and Educational Trust</rights><rights>Health Research and Educational Trust 2013</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c7842-4def51493ca930fe4891ea6dd86c756d5fbbd7079026cdcb45c30c75aecb77ed3</citedby><cites>FETCH-LOGICAL-c7842-4def51493ca930fe4891ea6dd86c756d5fbbd7079026cdcb45c30c75aecb77ed3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2F1475-6773.12002$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2F1475-6773.12002$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>230,315,733,786,790,891,27957,27958,31034,31035,50923,51032,53827,53829</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23046097$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Halbesleben, Jonathon R. B.</creatorcontrib><creatorcontrib>Whitman, Marilyn V.</creatorcontrib><title>Evaluating Survey Quality in Health Services Research: A Decision Framework for Assessing Nonresponse Bias</title><title>Health services research</title><addtitle>Health Serv Res</addtitle><description>Objective
To address the issue of nonresponse as problematic and offer appropriate strategies for assessing nonresponse bias.
Study Design
A review of current strategies used to assess the quality of survey data and the challenges associated with these strategies is provided along with appropriate post‐data collection techniques that researchers should consider.
Principal Findings
Response rates are an incomplete assessment of survey data quality, and quick reactions to response rate should be avoided. Based on a five‐question decision making framework, we offer potential ways to assess nonresponse bias, along with a description of the advantages and disadvantages to each.
Conclusions
It is important that the quality of survey data be considered to assess the relative contribution to the literature of a given study. Authors and funding agencies should consider the potential effects of nonresponse bias both before and after survey administration and report the results of assessments of nonresponse bias in addition to response rates.</description><subject>Assessment</subject><subject>Bias</subject><subject>Data Collection - methods</subject><subject>Data Collection - standards</subject><subject>Data Interpretation, Statistical</subject><subject>Decision making</subject><subject>Financing</subject><subject>Health care delivery</subject><subject>Health care industry</subject><subject>Health services</subject><subject>Health Services Research - methods</subject><subject>Humans</subject><subject>Medical care</subject><subject>Medical care quality</subject><subject>Methods Corner</subject><subject>Nonresponse</subject><subject>Nonresponse bias</subject><subject>Polls & surveys</subject><subject>Quality management</subject><subject>Research Design - standards</subject><subject>Research methodology</subject><subject>Response rate</subject><subject>Response rates</subject><subject>Studies</subject><subject>survey quality</subject><subject>Surveys</subject><subject>Surveys and Questionnaires</subject><issn>0017-9124</issn><issn>1475-6773</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>7QJ</sourceid><recordid>eNqNk91v0zAUxSMEYmPwzBuKhIRAopsdO3HCA1IpXQuqNthAPFquc5O6S-Pim3T0v8f9WLWiCnAeLNm_e3RzfU4QPKfklPp1RrmIO4kQ7JRGhEQPguPdycPgmBAqOhmN-FHwBHFKCElZyh8HRxEjPCGZOA6m_YWqWtWYugyvW7eAZfi1VZVplqGpwyGoqpmE1-AWRgOGV4CgnJ68C7vhR9AGja3Dc6dmcGvdTVhYF3YRAXEld2FrBzi3NUL4wSh8GjwqVIXwbLufBN_P-996w87ocvCp1x11tEh51OE5FDHlGdMqY6QAnmYUVJLnaaJFnORxMR7ngoiMRInO9ZjHmhF_o0CPhYCcnQTvN7rzdjyDXEPdOFXJuTMz5ZbSKiP3b2ozkaVdSJakNGKJF3i9FXD2ZwvYyJlBDVWlarAtSsoE42nKqPgPNCY0JjxlHn35Bzq1rav9JDzFM85SsRbcUqWqQJq6sL5FvRKVXcYikWYJXXXYOUCVUIP_H1tDYfzxHn96gPdfDjOjDxa82SvwTAO_mlK1iDIdjP7WzJbVtqqgBOnftne5z7-6x0_WFkNbtY03E-6Db--B49a7am0tNOWkwU0ve_jZBtfOIjoodk9OiVylRa6yIVfZkOu0-IoX952y4-_i4YFkA9z6-Sz_pSeH_eurO-XtTAz6WewKlbvxPPNVPy4GcjT8TEdXX3qSsd9RjSoB</recordid><startdate>201306</startdate><enddate>201306</enddate><creator>Halbesleben, Jonathon R. B.</creator><creator>Whitman, Marilyn V.</creator><general>Blackwell Publishing Ltd</general><general>Health Research and Educational Trust</general><general>Blackwell Science Inc</general><scope>BSCLL</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8GL</scope><scope>7QJ</scope><scope>K9.</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>201306</creationdate><title>Evaluating Survey Quality in Health Services Research: A Decision Framework for Assessing Nonresponse Bias</title><author>Halbesleben, Jonathon R. B. ; Whitman, Marilyn V.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c7842-4def51493ca930fe4891ea6dd86c756d5fbbd7079026cdcb45c30c75aecb77ed3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Assessment</topic><topic>Bias</topic><topic>Data Collection - methods</topic><topic>Data Collection - standards</topic><topic>Data Interpretation, Statistical</topic><topic>Decision making</topic><topic>Financing</topic><topic>Health care delivery</topic><topic>Health care industry</topic><topic>Health services</topic><topic>Health Services Research - methods</topic><topic>Humans</topic><topic>Medical care</topic><topic>Medical care quality</topic><topic>Methods Corner</topic><topic>Nonresponse</topic><topic>Nonresponse bias</topic><topic>Polls & surveys</topic><topic>Quality management</topic><topic>Research Design - standards</topic><topic>Research methodology</topic><topic>Response rate</topic><topic>Response rates</topic><topic>Studies</topic><topic>survey quality</topic><topic>Surveys</topic><topic>Surveys and Questionnaires</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Halbesleben, Jonathon R. B.</creatorcontrib><creatorcontrib>Whitman, Marilyn V.</creatorcontrib><collection>Istex</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: High School</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Health services research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Halbesleben, Jonathon R. B.</au><au>Whitman, Marilyn V.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Evaluating Survey Quality in Health Services Research: A Decision Framework for Assessing Nonresponse Bias</atitle><jtitle>Health services research</jtitle><addtitle>Health Serv Res</addtitle><date>2013-06</date><risdate>2013</risdate><volume>48</volume><issue>3</issue><spage>913</spage><epage>930</epage><pages>913-930</pages><issn>0017-9124</issn><eissn>1475-6773</eissn><coden>HESEA5</coden><notes>ark:/67375/WNG-LHJ1LRPC-3</notes><notes>Appendix SA1: Author Matrix.Appendix SA2: Examples to Illustrate Nonresponse Bias Assessment Techniques.Data S1: Data to Support Nonresponse Bias Assessment Examples.</notes><notes>istex:69A5C07F99CD96BF6D3138FDEDB6F8DBE5413099</notes><notes>ArticleID:HESR12002</notes><notes>ObjectType-Article-1</notes><notes>SourceType-Scholarly Journals-1</notes><notes>ObjectType-Feature-2</notes><notes>content type line 23</notes><abstract>Objective
To address the issue of nonresponse as problematic and offer appropriate strategies for assessing nonresponse bias.
Study Design
A review of current strategies used to assess the quality of survey data and the challenges associated with these strategies is provided along with appropriate post‐data collection techniques that researchers should consider.
Principal Findings
Response rates are an incomplete assessment of survey data quality, and quick reactions to response rate should be avoided. Based on a five‐question decision making framework, we offer potential ways to assess nonresponse bias, along with a description of the advantages and disadvantages to each.
Conclusions
It is important that the quality of survey data be considered to assess the relative contribution to the literature of a given study. Authors and funding agencies should consider the potential effects of nonresponse bias both before and after survey administration and report the results of assessments of nonresponse bias in addition to response rates.</abstract><cop>United States</cop><pub>Blackwell Publishing Ltd</pub><pmid>23046097</pmid><doi>10.1111/1475-6773.12002</doi><tpages>18</tpages><oa>free_for_read</oa></addata></record> |
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| ispartof | Health services research, 2013-06, Vol.48 (3), p.913-930 |
| issn | 0017-9124 1475-6773 |
| language | eng |
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| source | Applied Social Sciences Index & Abstracts (ASSIA); Wiley; PubMed Central |
| subjects | Assessment Bias Data Collection - methods Data Collection - standards Data Interpretation, Statistical Decision making Financing Health care delivery Health care industry Health services Health Services Research - methods Humans Medical care Medical care quality Methods Corner Nonresponse Nonresponse bias Polls & surveys Quality management Research Design - standards Research methodology Response rate Response rates Studies survey quality Surveys Surveys and Questionnaires |
| title | Evaluating Survey Quality in Health Services Research: A Decision Framework for Assessing Nonresponse Bias |
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