Web Survey Bibliography
Title Measuring Nonresponse Bias in Web Surveys: The Role of Health Status
Author Zhang, M.
Year 2014
Access date 28.08.2014
Abstract
Web surveys have been included in many national longitudinal studies and panels as an additional option offered to respondents together with, or instead of, traditional modes (e.g. CATI or CAPI). Web surveys cost less and this mode generally requires a shorter data collection time compared to the traditional modes of data collection. Evidence is mixed
regarding the presence and size of coverage error and nonresponse error in Web surveys. Typically, there is little information about non-respondents to allow for the measurement of nonresponse bias. This paper takes advantage of the 2011 Health and Retirement Study (HRS) Internet Survey to examine factors affecting people’s decisions to respond to a Web survey. Respondents to the 2011 HRS Internet survey are randomly selected from respondents to the 2009 HRS internet survey and the 2010 HRS respondents who had Internet access. As a result, a lot of information is available on both respondents and non-respondents to the 2011 HRS Internet survey. Making use of the rich auxiliary data, we first characterize non-respondents to the 2011 HRS Internet survey. Specifically, we examine whether health status is a factor that might influence respondents’ willingness to participate in the Web survey after controlling for age, gender, and socioeconomic status (SES). We hypothesize that respondents with lower self-rated health in previous waves were less likely to participate in the 2011 Internet survey. We then explore the role of health status in nonresponse bias in several key survey variables from the 2011 Internet survey for older adults.
Access/Direct link
Year of publication2014
Bibliographic typeConferences, workshops, tutorials, presentations
Web survey bibliography - The American Association for Public Opinion Research (AAPOR) 69th Annual Conference, 2014 (20)
- Investigating Response Quality in Mobile and Desktop Surveys: A Comparison of Radio Buttons, Visual...; 2014; Toepoel, V.; Funke, F.
- Assessing the Impact Device Choice Has on Web Survey Data Collection ; 2014; Hupp, A.; Schroeder, H. M.; Piskorowski, A.D.
- Understanding Mobility: Consent and Capture of Geolocation Data in Web Surveys; 2014; Crawford, S. D.; McClain, C.; Young, R.H.; Nelson, T. F.
- Instant Interactive Feedback in Grid Questions: Reminding Web Survey; 2014; Kunz, T., Fuchs, M.
- What Does the Satisfaction with Democracy Measure Mean to Respondents in Different Countries? How Cross...; 2014; Behr, D., Braun, M.
- Using Eye Tracking to Evaluate Email Notifications of Surveys and Online Surveys Collecting Address...; 2014; Olmsted, E. L., Nichols, E. M.
- Respondent Processing of Multiple Images throughout a Web Survey; 2014; Charoenruk, N., Stange, M.
- Using Eye Tracking to Examine the Visual Design of Web Surveys; 2014; Zhou, Q., Ricci, K., Olson, K., Smyth, J. D.
- Achieving Balance: Understanding the Relationship between Complexity and Response Quality; 2014; Kirchner, A., Powell, R.
- Question Grouping and Matrices in Web Surveys: Using Response and Auxiliary Data to Examine Question...; 2014; Bilgen, I., Stern, M. J.
- The Grouping of Items in Mobile Web Surveys; 2014; Mavletova, A. M., Couper, M. P.
- Evaluating the Efficacy of Mixed-Mode Intercept Surveys for Complex Questionnaires; 2014; Puniello, O. T.
- Experiments with Email Formatting; 2014; Lawrence, S., Phillips, B. T.
- Sequential or Simultaneous Multi-Mode? Results from Two Large Surveys of Electric Utility Consumers; 2014; Jackson, C., Ledoux, C.
- Correlates of Attrition in the German Internet Panel: Drop-Outs and Sleepers; 2014; Blom, A. G., Beissel-Durrant, G.
- Survey Breakoff in Online Panels; 2014; McCutcheon, A. L.
- Measuring Nonresponse Bias in Web Surveys: The Role of Health Status; 2014; Zhang, M.
- Providing a Deadline for Response: Results from Two Recent Experiments; 2014; Kaiser, A., Walston, J. T., Medway, R., Ye, C., Tourangeau, R.
- Respondents Playing Fast and Loose?: Antecedents and Consequences of Respondent Speed of Completion; 2014; Thomas, R. K., Barlas, F. M.
- A Glimpse Inside the Mind of a Respondent: Using Paradata to Improve Online Surveys; 2013; Pape, T.; Barron, S.