Web Survey Bibliography
Relevance & Research question
Mobile phones are replacing the PC as key devices in social science data collection. In daily life, mobile phones are used for short interactions. Successful data collection strategies over mobile phones should therefore also be brief for respondents.
Questionnaires for attitude research are often very long. We argue that there is a trade-off to be made. Should questionnaires on mobile devices remain long, risking dropout, or should such questionnaires be split up (from here on called chunks) to optimize data quality?
Methods and data
We report on an experiment conducted in the probability-based LISS panel in the Netherlands, carried out in December 2015. We used a ‘within’ design of data chunking. Panelists who owned a mobile phone with Internet connection were randomly assigned to either:
a) The normal survey (about 20 min)
b) The same survey cut into three chunks, with each chunk offered after a week
c) The same survey cut into ten chunks, with each chuck offered every other day.
Results
First, we investigated the number of complete and incomplete responses and looked at indicators for data quality (straightlining, primacy effects, survey length). We find that more respondents are completing the questionnaire when it is offered in chunks (condition b, and especially c), but also that chunking results in more item missings. We find little evidence for effects on data quality.
Finally, we report on the differences we find in the factor structure when the questionnaire was split into chunks, or was completed in one go.
Added value
The idea of data chunking is not new. ‘Planned-missingness’ designs have been implemented in web surveys successfully in the past. This study is however the first to study data chunking in the setting of mobile phone surveys. We believe that more and more data will be collected using mobile phones (already 5-25% of all web surveys are taken on mobile phones), and that understanding how to design questionnaires for mobile phones is of vital importance to both survey researchers, market researchers, and anyone using such data for substantive reasons in the future.
Web survey bibliography (210)
- In search of best practices; 2017; Kappelhof, J. W. S.; Steijn, S.
- The perils of non-probability sampling; 2017; Bethlehem, J.
- Estimating the Impact of Measurement Differences Introduced by Efforts to Reach a Balanced Response...; 2017; Kappelhof, J. W. S.; De Leeuw, E. D.
- Data chunking for mobile web: effects on data quality; 2017; Lugtig, P. J.; Toepoel, V.
- Are Final Comments in Web Survey Panels Associated with Next-Wave Attrition?; 2016; McLauchlan, C.; Schonlau, M.
- Participation rates of childhood cancer survivors to self-administered questionnaires: a systematic...; 2016; Kilsdonk, E.; Wendel, E.; van Dulmen-den Broeder, E.; van Leeuwen, F.E.; Van Den Berg, M. H.; Jaspers...
- A look into the challenges of mixed-mode surveys; 2016; Klausch, L. T.
- Unintentional Mobile Respondents in Official Statis tics and Their Effect on Data Quality ; 2016; Bakker, J.
- Tracking the Representativeness of an Online Panel Over Time ; 2016; Klausch, L. T.; Scherpenzeel, A.
- Detecting careless respondents in web-based questionnaires: Which method to use?; 2016; Niesen, A. S. M.; Meijer, R. R.; Tendeiro, J. N.
- Establishing the accuracy of online panels for survey research; 2016; Bruggen, E.; van den Brakel, J.; Krosnick, J. A.
- Surveying End-of-Life Medical Decisions in France: Evaluation of an Innovative Mixed-Mode Data Collection...; 2016; Legleye, S; Pennec, S.; Monnier, A.; Stephan, A.; Brouard, N.; Bilsen, J.; Cohen, J.
- Adaptive survey designs to minimize survey mode effects – a case study on the Dutch Labor Force...; 2016; Calinescu, M.; Schouten, B.
- Reducing Underreports of Behaviors in Retrospective Surveys: The Effects of Three Different Strategies...; 2016; Lugtig, P. J.; Glasner, T.; Boeve, A.
- Sunday shopping – The case of three surveys; 2016; Bethlehem, J.
- Predictive inference for non-probability samples: a simulation study ; 2016; Buelens, B.; Burger, J.; van den Brakel, J.
- Does the Inclusion of Non-Internet Households in a Web Panel Reduce Coverage Bias?; 2016; Eckman, S.
- Internet Panels, Professional Respondents, and Data Quality; 2015; Matthijsse, S.; De Leeuw, E. D.; Hox, J.
- Effect of Web-Based Versus Paper-Based Questionnaires and Follow-Up Strategies on Participation Rates...; 2015; Kilsdonk, E.; van den Heuvel-Eibrink, M. M.; van Dulmen-den Broeder, E.; van der Pal, H. J. H.; van...
- Designing web surveys for the multi-device internet; 2015; de Bruijne, M.
- Self-identification of occupation in web surveys: requirements for search trees and look-up tables ; 2015; Tijdens, K. G.
- Tailored fieldwork design to increase representative household survey response: an experiment in the...; 2015; Luiten, A.; Schouten, B.
- Calendar Instruments in Retrospective Web Surveys; 2015; Glasner, T.; van der Vaart, W.; Dijkstra, W.
- Validating self-reported mobile phone use in adults using a newly developed smartphone application; 2015; Goedhart, G., Kromhout, H., Wiart, J., Vermeulen, R.
- Face-to-Face or Sequential Mixed-Mode Surveys Among Non-Western Minorities in the Netherlands: The Effect...; 2015; Kappelhof, J.
- Finding Item Nonresponse Patterns: Three Internet Survey Experiments Into the Effects of Nonresponse...; 2015; Van De Maat, J.
- The effectiveness of incentives on recruitment and retention rates: an experiment in a web survey; 2015; Mulder, J.; Douhou, S.
- Using WhatsApp as a Survey Tool; 2015; Ongena, Y. P.; Haan, M.
- The Effects of Adding a Mobile-Compatible Design to the American Life Panel; 2015; Toepoel, V.; Lugtig, P. J.; Amin, A.
- Adapting Grid Questions for Mobile Devices; 2015; de Bruijne, M.; Das, M.; van Soest, A.; Wijnant, A.
- Correlates of early and late responses to surveys in an online panel; 2015; Douhou, S.; Vis, C.
- Higher Item Nonresponse Rates Caused by Slider Scales in Web Surveys; 2015; Toepoel, V.; Funke, F.
- Coding Surveys on their Item Characteristics: Reliability Diagnostics; 2015; Bais, F.; Schouten, B.; Toepoel, V.
- Selection error in single- and mixed mode surveys of the Dutch general population; 2015; Hox, J., Klausch, L. T., Schouten, B.
- Investigating Response Quality in Mobile and Desktop Surveys: A Comparison of Radio Buttons, Visual...; 2014; Toepoel, V.; Funke, F.
- 640 Current trends in management of high-risk prostate cancer in Europe: Results of a web-based survey...; 2014; Briganti, A., Isbarn, H., Ost, P., Ploussard, G., Sooriakumaran, P., Van Den Bergh, R.C.N., Van Oort...
- Query on Data Collection for Social Surveys; 2014; Blanke, K., Luiten, A.
- Improving Response Rates and Questionnaire Design for Mobile Web Surveys; 2014; de Bruijne, M., Wijnant, A.
- Quality of physical therapy from a patient's perspective; factor analysis on web-based survey data...; 2014; Scholte, M., Calsbeek, H., Nijhuis-van der Sanden, M. W. G., Braspenning, J.
- Mining “Big Data” using Big Data Services ; 2014; Reips, U.-D., Matzat, U.
- Barriers and facilitators for participation in a preventive pelvic floor muscle training program from...; 2014; Albers-Heitner, P., Moossdorff-Steinhauser, H., Weemhoff, M., Nieman, F., Berghmans, B.
- Informing panel members about study results; 2014; Scherpenzeel, A., Toepoel, V.
- Targeting the bias – the impact of mass media attention on sample composition and representativeness...; 2014; Steinmetz, S., Oez, F., Tijdens, K. G.
- Exploring selection biases for developing countries - is the web a promising tool for data collection...; 2014; Tijdens, K. G., Steinmetz, S.
- Evaluating mixed-mode redesign strategies against benchmark surveys: the case of the Crime Victimization...; 2014; Klausch, L. T., Hox, J., Schouten, B.
- The quality of ego-centered social network data in web surveys: experiments with a visual elicitation...; 2014; Marcin, B., Matzat, U., Snijders, C.
- Measuring the very long, fuzzy tail in the occupational distribution in web-surveys; 2014; Tijdens, K. G.
- Social desirability is the same in offline, online, and paper surveys: A meta-analysis; 2014; Dodou, D., de Winter J. C. F.
- The impact of contact effort on mode-specific selection and measurement bias; 2014; Schouten, B., van der Laan, J., Cobben, F.
- Clicking vs. Dragging: Different Uses of the Mouse and Their Implications for Online Surveys; 2014; Sikkel, D., Steenbergen, R., Gras, S.