2003
DOI: 10.1016/s0740-8188(03)00029-x
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The dilemma of survey nonresponse

Abstract: An examination of the library and information science (LIS) literature reveals that surveys published between 1996 and 2001 in three major LIS journals have an average response rate of 63%, and almost three quarters of the surveys have a response rate below 75% (the level that is widely held to be required for generalizability). Consistent with the practice in other disciplines, however, most LIS researchers do not address the issue of nonresponse beyond reporting the survey response rate. This article describ… Show more

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Cited by 59 publications
(48 citation statements)
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References 61 publications
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“…Although low response rates do not necessarily compromise results and are less of a concern for studies that test relations between multiple variables or aim for theory development (Keeter, Miller, Kohut, Groves, & Presser, 2000;Krosnick), any degree of nonresponse could bias results (Burkell, 2003). Therefore, the results reported here should be interpreted taking into consideration the low response rates.…”
Section: Discussionmentioning
confidence: 87%
“…Although low response rates do not necessarily compromise results and are less of a concern for studies that test relations between multiple variables or aim for theory development (Keeter, Miller, Kohut, Groves, & Presser, 2000;Krosnick), any degree of nonresponse could bias results (Burkell, 2003). Therefore, the results reported here should be interpreted taking into consideration the low response rates.…”
Section: Discussionmentioning
confidence: 87%
“…Given the growing trend in educational technology to use electronic surveys to collect data, it behooves researchers to examine all means to increase the validity and reliability of such tools, as well as examine how the administration of such surveys might be ameliorated. A critical goal of survey administration is to increase the credibility of results (Burkell, 2003;Baruch & Holtom, 2008), and one obvious way to increase credibility is to take measures to ensure a high response rate and survey completion.…”
Section: Introductionmentioning
confidence: 99%
“…First, respondents were a convenience sample of undergraduate students, and thus it cannot be claimed that the sample is formally representative of the population of those seeking health information online. Although this limits the generalizability of the results, the focus of this study is differences between criteria and relationships between the various types of rating tasks, and this type of result is less likely to be influenced by sampling bias (Burkell, 2003). Furthermore, the students who participated in the study are, if anything, more sophisticated than the general public with respect to Internet use and the evaluation of online material, since a course on this particular issue forms part of their required curriculum.…”
Section: Resultsmentioning
confidence: 99%