Web Survey Bibliography
Title Evaluating the Efficacy of Mixed-Mode Intercept Surveys for Complex Questionnaires
Author Puniello, O. T.
Year 2014
Access date 28.08.2014
Abstract
This paper explores mixed-mode intercept survey data collection. The use of intercept surveys is a generally accepted substitute for probability sampling when the study
population cannot be defined. Transportation researchers, in particular, frequently turn to intercept surveys to collect data on public transit riders because those populations are
nearly impossible to define. In an overview study of 52 transit agencies, Schaller (2005), found that difficulty in rider population delimitation compelled the use intercept survey
methods to survey riders in 96% of cases. A 2013 transportation study of the economic benefits of the Prudential Center in Newark, NJ provides the opportunity to test the efficacy of mixed-mode intercept survey data collection. The study required a complex questionnaire that probed respondent travel and spending behavior. Given the cognitive burden of the questionnaire we theorized that providing respondents multiple-modes to complete the questionnaire would increase cooperation. Therefore, the survey protocol allowed a respondent to complete the questionnaire by paper or on the internet. We hypothesized that event participants would respond positively to an internet option because of rapid increase in smartphones, and indeed a number of participants completed the survey at the event on their smartphones. Given this expectation the survey web survey was optimized for viewing on smartphones. However, we are concerned that the mixed-mode data collection for this study would result in significant mode effects. The study examines data collected at three sports/entertainment events at the Prudential Center between October and December 2013 to examine and quantify mode effects. The information from this study will help inform future researchers about the efficacy and appropriateness of mixed-mode data collection in the intercept survey context. Because data collection is still underway, descriptive and analytic results are not yet available.
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.