Web Survey Bibliography
To increase the likelihood of response, many survey organizations attempt to provide sample members with a mode they are thought to prefer. Mode assignment is typically based on conventional wisdom or results from mode choice studies that presented only limited options. In this paper we draw heavily on research and theory from the mode effects and the survey participation literatures to develop a framework for understanding what characteristics should predict mode preferences. We then test these characteristics using data from two different surveys. We find that measures of familiarity with and access to a mode are the strongest predictors of mode preference and measures of safety concerns, physical abilities, and normative concerns are unexpectedly weak predictors. Our findings suggest that variables that may exist on sample frames can be used to inform the assignment of “preferred” modes to sample members.
Web survey bibliography - Social Science Research (7)
- Identifying predictors of survey mode preference; 2015; Millar, M. M.; Olson, K.; Smyth, J. D.
- Online questionnaire development: Using film to engage participants and then gather attitudes towards...; 2013; Middleton, A., Bragin, E., Morley, K. I., Parker, M.
- Intra-individual variation of extreme response style in mixed-mode panel studies; 2013; Aichholzer, J.
- Disentangling Mode-Specific Selection and Measurement Bias in Social Surveys; 2012; Buelens, B., van der Laan, J., Schouten, B., Klausch, L. T., van der Brakel, J., Burger, J.
- Improving ability measurement in surveys by following the principles of IRT: The Wordsum vocabulary...; 2012; Cor, K., Haertel, E., Krosnick, J. A., Malhotra, N.
- Understanding the resilience of mail-back survey methods: An analysis of 20 years of change in response...; 2012; Rookey, B. D., Le, L., Littlejohn, M., Dillman, D. A.
- Response rate and measurement differences in mixed-mode surveys using mail, telephone, interactive voice...; 2009; Dillman, D. A., Phelps, G., Tortora, R. D., Swift, K., Kohrell, J., Berck, J., Messer, B. L.