Cited by 125Survey Methodology and NonresponseSurvey Sampling and Estimation TechniquesCensus and Population Estimation

An investigation into low mail survey response rates of information technology users in health care organizations

Open access
Hikmet, Neset, Chen, Shaw K·2003·International Journal of Medical Informatics

Abstract

Surveys conducted by mail can result in a very low response rate raising the possibility of non-response bias that would question the validity of the findings. In this study, we compare the demographic profiles between the respondents and non-respondents, and conduct wave analysis as an alternative way to estimate the non-response bias among the information technology (IT) users in the health care industry. Our findings indicate that there is no significant difference among the respondents when considering the duration (early versus late) of response rate. Likewise, there was no significant difference when the available demographic characteristics (facility type and user's position) of those who responded were compared to the same characteristics of the sample. We were able to reach similar conclusion by using either of the proposed methods; analysis of demographic profiles of respondents versus non-respondents, and wave analysis. Thus our findings support the validity of the results from low response mail survey studies for IT users.

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Crossref · 10.1016/j.ijmedinf.2003.09.002

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  • A low response rate does not necessarily mean a threat to research validity, especially when representative participants are involved.

    “A low response rate does not necessary mean a threat to research validity, especially when representative participants are involved (Dillman, 1991;Hikmet & Chen, 2003).”

    From Teachers’ perceptions of declining participation in school music (2011) · cites this paper as Hikmet & Chen, 2003

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Authors
Hikmet, N., & Chen, S. K.
Affiliations
University of Rhode Island (US)
Venue
International Journal of Medical Informatics
Publisher
Elsevier BV
Published
2003-12
Volume
72
Issue
1-3
Pages
29-34
ISSN
1386-5056 (ISSN-L)
OpenAlex
W2033759514
Cited by
125
References
0
Citations by year
2026: 1 · 2025: 4 · 2024: 3 · 2023: 4 · 2022: 5 · 2021: 8 · 2020: 1 · 2019: 8 · 2018: 4 · 2017: 4 · 2016: 1 · 2015: 7 · 2014: 6 · 2013: 4 · 2012: 3
FWCI
24.87
Type
journal article
Language
en
Open access
Locations
  • International Journal of Medical Informatics (publishedVersion)
  • PubMed (publishedVersion)
  • Journal of Media Literacy Education (submittedVersion, cc-by)
Topics
  • Social Sciences › Sociology and Political Science › Survey Methodology and Nonresponse
  • Physical Sciences › Mathematics › Statistics and Probability › Survey Sampling and Estimation Techniques
  • Physical Sciences › Mathematics › Statistics and Probability › Census and Population Estimation
Keywords
mail survey response rates, nonresponse bias, wave analysis, survey validity, health care organization
MeSH terms
Community Participation, Delivery of Health Care, Humans, Postal Service, Surveys and Questionnaires, United States, Information Management

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