Web Survey Bibliography
Title Comparing data quality and cost from three modes of on-board transit surveys
Author Agrawal, A. W.; Granger-Bevan, S.; W.; Newmark, G. L.; Nixon, H.
Source TRANSPORT POLICY, 54, pp. 70-79
Year 2017
Database Web of Science
Access date 31.03.2017
Abstract
Many transit agencies invest substantial resources in surveying their passengers to generate data used for planning, marketing, and equity analyses. Within the industry, there is considerable interest in replacing traditional paper-based self-complete surveys with new approaches that might lower costs or generate better quality data. However, very limited research has been done to identify the relative performance of different transit passenger survey modes. This paper begins to fill that gap.
The research investigates the relative data quality for three different bus passenger survey methods distributed or administered on the transit vehicle: self-complete paper surveys, interviewer-assisted tablet based surveys, and self-complete online surveys. The research used an experimental design, with the same survey questionnaire distributed via the three survey modes. All factors about the survey and distribution process were kept identical to the extent feasible, so that the only variation would be the survey mode itself.
The findings by survey mode are compared in terms of the overall response and completion rates, the completion rate for individual questions, respondent demographics, and labor costs per complete. The study results suggest that many agencies may still find the old-fashioned, low-tech paper survey to be the best option for bus passenger surveys. The paper mode required less labor per complete, and for many of the metrics discussed it generated data that was as good as or better than the tablet survey. In addition, the findings suggest that online survey invitations distributed on the transit vehicle are not a good option because they were labor intensive and had very low response rates.
The research investigates the relative data quality for three different bus passenger survey methods distributed or administered on the transit vehicle: self-complete paper surveys, interviewer-assisted tablet based surveys, and self-complete online surveys. The research used an experimental design, with the same survey questionnaire distributed via the three survey modes. All factors about the survey and distribution process were kept identical to the extent feasible, so that the only variation would be the survey mode itself.
The findings by survey mode are compared in terms of the overall response and completion rates, the completion rate for individual questions, respondent demographics, and labor costs per complete. The study results suggest that many agencies may still find the old-fashioned, low-tech paper survey to be the best option for bus passenger surveys. The paper mode required less labor per complete, and for many of the metrics discussed it generated data that was as good as or better than the tablet survey. In addition, the findings suggest that online survey invitations distributed on the transit vehicle are not a good option because they were labor intensive and had very low response rates.
Access/Direct link Journal Homepage (abstract) / (full text)
Year of publication2017
Bibliographic typeJournal article
Web survey bibliography (290)
- Mind the Mode: Differences in Paper vs. Web-Based Survey Modes Among Women With Cancer; 2017; Hagan, T. L.; Belcher, S. M.; Donovan, H. S.
- Telephone versus Online Survey Modes for Election Studies: Comparing Canadian Public Opinion and Vote...; 2017; Breton, C.; Cutler, F.; Lachance, S.; Mierke-Zatwarnicki, A.
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- A Comparison of Emerging Pretesting Methods for Evaluating “Modern” Surveys; 2017; Geisen, E., Murphy, J.
- Pushing to web in the ISSP; 2017; Jonsdottir, G. A.; Dofradottir, A. G.; Einarsson, H. B.
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- Comparing data quality and cost from three modes of on-board transit surveys ; 2017; Agrawal, A. W.; Granger-Bevan, S.; W.; Newmark, G. L.; Nixon, H.
- Overview: Online Surveys; 2017; Vehovar, V.; Lozar Manfreda, K.
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- Early-bird Incentives: Results From an Experiment to Determine Response Rate and Cost Effects ; 2016; De Santis, J.; Callahan, R.; Marsh, S.; Perez-Johnson, I.
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- “Money Will Solve the Problem”: Testing the Effectiveness of Conditional Incentives for...; 2016; DeCamp, W.; Manierre, M. J.
- Effects of Incentive Amount and Type of Web Survey Response Rates; 2016; Coopersmith, J.; Vogel, L. K.; Bruursema, T.; Feeney, K.
- Effect of a Post-paid Incentive on Response to a Web-based Survey; 2016; Brown, J. A.; Serrato, C. A.; Hugh, M.; Kanter, M. H.; A.; Spritzer, K. L.; Hays, R. D.
- Take the money and run? Redemption of a gift card incentive in a clinician survey. ; 2016; Chen, J. S.; Sprague, B. L.; Klabunde, C. N.; Tosteson, A. N. A.; Bitton, A.; Onega, T.; MacLean, C....
- A reliability analysis of Mechanical Turk data; 2016; Rouse, S. V.
- Taming Big Data: Using App Technology to Study Organizational Behavior on Social Media; 2015; Bail, C. A.
- Using Mobile Phones for High-Frequency Data Collection; 2015; Azevedo, J. P.; Ballivian, A.; Durbin, W.
- Cell Phone and Face-to-face Interview Responses in Population-based Sur- veys - How Do They Compare?; 2015; Ghandour, L.; Ghandour, B.; Mahfoud, Z.; Mokdad, A.; Sibai, A. M.
- The Cathie Marsh lecture: What does the failure of the polls tell us about the future of survey research...; 2015; Sturgis, P., Matheson, J.
- Mixed mode surveys ; 2015; Burton, J.
- Understanding Society Innovation Panel Wave 7: Results from Methodological Experiments; 2015; Blom, A. G.; Burton, J.; Booker, C. L.; Cernat, A.; Fairbrother, M.; Jaeckle, A.; Kaminska, O.; Keusch...
- Response Effects of Prenotification, Prepaid Cash, Prepaid Vouchers, and Postpaid Vouchers: An Experimental...; 2015; van Veen, F.; Goeritz, A.; Sattler, S.
- Tailored fieldwork design to increase representative household survey response: an experiment in the...; 2015; Luiten, A.; Schouten, B.
- Using Internet to Recruit Immigrants with Language and Culture Barriers for Tobacco and Alcohol Use...; 2015; Carlini, B. H.; Safioti, L.; Rue, T. C.; Miles, L.
- Online Recruitment Methods for Web-Based and Mobile Health Studies: A Review of the Literature; 2015; Lane, T. S.; Armin, J.; Gordon, Ju. S.
- iTunes Song-Gifting is a Low-Cost, Efficient Recruitment Tool to Engage High-Risk MSM in Internet Research...; 2015; Holland, C. M.; Ritchie, N. D.; Du Bois, S. N.
- A Note on the Use of Survey Research Firms to Enable Empirical Data Collection; 2015; Schoenherr, T.; Ellram, L. M.; Tate, W. L.
- Recruiting Online: Lessons From a Longitudinal Survey of Contraception and Pregnancy Intentions of Young...; 2015; Harris, M. L.; Loxton, D.; Wigginton, B.; Lucke, J. C.
- Recruiting for addiction research via Facebook; 2015; Thornton, L. K.; Harris, K.; Baker, A.; Johnson, M.; Kay-Lambkin, F. J.
- The effectiveness of incentives on recruitment and retention rates: an experiment in a web survey; 2015; Mulder, J.; Douhou, S.
- Adding a Web Mode to Phone Surveys: Effectiveness and Cost Implications; 2015; Beebe, T. J.; Lien, R.; Luxenberg, H.; Rainey, J.
- Query on Data Collection for Social Surveys; 2014; Blanke, K., Luiten, A.
- Examining the Effect of Prenotification Postcards on Online Survey Response Rate in a University Graduate...; 2014; Lalasz, C. B., Doane, M. J., Springer, V. A., Dahir, V. B.