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International Journal of Internet Science |
A peer reviewed open access journal for empirical findings, methodology, and theory of social and behavioral science concerning the Internet and its implications for individuals, social groups, organizations, and society.
Response Rates and Mode Preferences in Web-Mail Mixed-Mode Surveys: A Meta-Analysis
Tse-Hua Shih, Xitao Fan
University of Virginia
Abstract: This meta-analysis examined (1) mode preference (i.e., response rate difference) between mail and Web survey modes in 43 mixed-mode surveys, and (2) the overall response rate in 52 Web-mail mixed-mode survey study results. Six study features were coded as potential factors that might contribute to the variation in the outcome variables (mode preference, and overall response rate) across the studies. Random-effect model analysis (forest plot) for mode preference indicates that, in general, mail survey mode was preferred over Web survey mode, but there was considerable variation in mode preference across these studies. All six study features were shown to contribute to the variation of mode preference across the studies. General linear model analysis for the outcome variable of overall response rate across these mixed-mode survey studies reveals that the six study features were statistically associated with the variation in the overall response rates across these mixed-mode survey studies. These findings are discussed, and some limitations of this study are noted.
Keywords: Web survey, mail survey, response rate, mixed-mode, option, meta-analysis
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Ulf-Dietrich Reips
(University of Deusto, Spain and IKERBASQUE, Basque Foundation for Science)
Uwe Matzat
(Eindhoven University of Technology, NL)
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Michael Birnbaum (California State University at Fullerton, USA)
Tom Buchanan (Westminster University, UK)
Don Dillman (Washington State University, USA)
Frank Faulbaum (University Duisburg-Essen, Germany)
Adam Joinson (Open University, UK)
John Krantz (Hanover College, USA)
Han Woo Park (Yeungnam University, South Korea)
Chris Snijders (Eindhoven University of Technology, NL)
Barry Wellman (University of Toronto, Canada)
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The International Journal of Internet Science is an interdisciplinary, peer reviewed journal for the publication of research articles about empirical findings, methodology, and theory in the field of Internet Science. It provides an outlet for articles on the Internet as a medium of research and its implications for individuals, social groups, organizations, and society.