Web Survey Bibliography
Relevance & Research Question: A matrix question format (grid) has may advantages in traditional paper-and-pen surveys design: more questions can be presented in a smaller space, thereby saving paper, printing and mailing costs. With the onset of computer-assisted questionnaires and Internet research, these cost saving arguments are no longer valid. Still, matrix questions remain a widely used tool also in Web surveys (e.g. Couper, 2008). There is some empirical evidence (e.g. Toepoel et al 2005; Petchev, 2006; Callegaro, 2010) that matrix questions lead to more statisficing and more dropout. However, presenting questions as single items on the screen leads to longer response times and may increase response burden. In this study we therefore evaluate an alternative to traditional matrix and scrolling formats for web surveys: the horizontal scrolling matrix (HSM).
Methods & Data: In the HSM questions are presented one-by-one on the screen, while ease of answering is improved (e.g., after an answer is selected, the next question is quickly and automatically presented, there is no need for the next or previous button, etc.), and respondents still have an overview of the number of questions in the matrix through a visual bar. In a randomized field experiment we tested whether the HSM question format does improve data quality over the traditional matrix format. We used a 2 by 3 factorial design: the experimental factors were (1) question format: traditional matrix vs HSM and (2) length of ‘matrix’: 5, 10, and 15 items per matrix.
Results: The results were positive: the HSM-format led to fewer break-offs, better data quality and less satisficing as indicated by well-known response styles, such as non-differentiation and extremeness. The HSM helped improving data quality in the longer matrix conditions, which typically suffer from worse data quality. Finally, respondents evaluated the HSM format very positive.
Added Value: Online researchers can profit from the flexibility of web surveys by moving away from grid formats, which are a heritage of paper and pencil surveys. The HSM is a useful alternative, which prevents respondent demotivation by offering superior usability.
GOR Homepage (abstract) / (full text)
Web Survey Bibliography - Survey methodology (2531)
- The Handbook of Questionnaire Design; 2013; Krosnick, J. A., Fabrigar, L. R.
- ESSnet Data: Collection for Social Surveys using Multiple Modes; 2013; Sattelberger, S., Blanke, K.
- Using Technology to Conduct Questionnaire Evaluations with Hard to Reach Populations ; 2013; Ridolfo, H., Ott, K.
- Recent Experiences with Electronic Questionnaire Testing at Statistics Canada ; 2013; Lawrence, D.
- Questionnaire development & testing in the 21st century: What are the challenges?; 2013; Collins, D.
- Improved Dialogue Features in Web Surveys?; 2013; Lund, K.
- Evaluation of a Sequential Mixed-Mode Design Experiment with Physicians on Response Rates, Costs, and...; 2013; Geisen, E., Olmsted, M. G., Murphy, J., Stanley, M.
- When We Do Not Know the Difference – the Level of DK in Different Question Formats and Different...; 2013; Schwarzer, S., Zeglovits, E., Connor, D. S.
- New Versus Old Technologies: An Examination of Usability and Cognitive Issues Across Modes Among Respondents...; 2013; Nichols, E. M., Goerman, P. L., Jurgenson, N., King, T., Olmsted, M. G., Childs, J. H.
- Factors Influencing Survey Participation Rates on an Online, Probability-Based Research Panel; 2013; Wiest, D.
- The Effect of Differential Mailing Methodologies on Response Rates: Testing Advanced Notices, Pre-Recorded...; 2013; Pens, Y., Cantave, M. A., Gentry, R. J.
- The Influence of Respondent Incentives on Item Nonresponse and Measurement Error in a Web Survey; 2013; Felderer, B., Kreuter, F., Winter, J.
- A Multi-Survey, Multi-Methodological Assessment of Perception of Need and Quality of Life: Opinion Polling...; 2013; Levy, D.,
- Eliminate Item Non-Response: The Effect of Forcing Respondents to Answer in Web Surveys; 2013; Leach, L. M.
- The Influence of Answer Box Format, Personal Topic Interest, and Respondent Characteristics on Response...; 2013; Keusch, F.
- Using Motivating Prompts to Increase Responses to Open-ended Questions in Mixed-mode Surveys: Where...; 2013; Israel, G. D.
- How Open Are We to the Open-Ended Questions?; 2013; Mamedova, S.
- Will Snowball Sampling Leave Your Data in the Cold?; 2013; Cavallaro, K.
- Panel Attrition: Separating Stayers, Sleepers and Other Types of Drop-Out in an Internet Panel; 2013; Lugtig, P. J.
- Building a History: Collecting Comprehensive Employment Data in a Web-Based, Multi-Mode Survey; 2013; Cominole, M., Bennett, C., Caves, L.
- Augmenting Paper Diaries With Phone and Web Data Retrieval: Is it Effective?; 2013; Wargelin, L., Minser, J., Homer, Z., Fleeman, A., ZuWallack, R. S.
- Alone in a Group: Comparison of Effects of a Group-Administered Paper-Pencil Survey Versus an Individually...; 2013; Higgins, W. B., Barlas, F. M., Pflieger, J., Thomas, R. K., Jeffery, D., Mattiko, M.
- The Effect of Survey Mode on Socially Undesirable Responses to Open Ended Questions: Online vs. Paper...; 2013; Hedberg, E., Ceasar, G., Wallace, D.
- Mode Effects in a National Establishment Survey; 2013; Daley, K., Phillips, B. T.
- Cognitive Interviewing in Online Modes: a Comparison of Data Collected in Second Life and Skype; 2013; Swicegood, J. E., Head, B., Dean, E., Keating, M.
- Mobile Browser Web Surveys: Testing Response Rates, Data Quality and Best Practices; 2013; McGeeney, K., Marlar, J.
- Comparing Tablet, Computer, and Smartphone Survey Administrations; 2013; Wells, T., Bailey, J., Link, M. W.
- Mode Choice on an iPhone Increases Survey Data Quality; 2013; Conrad, F. G., Schober, M. F., Zhang, C., Yan, H. G., Vickers, L., Johnston, M., Hupp, A., Hemingway...
- Online Survey Participation via Mobile Devices: Findings From Seven Access Panel Studies; 2013; Bosnjak, M., Poggio, T., Funke, F.
- Speeding and Non-Differentiation in Web Surveys: Evidence of Correlation and Strategies for Reduction...; 2013; Zhang, C.
- Use of Drag-and-Drop Rating Scales in Web Surveys and Its Effect on Survey Reports and Data Quality; 2013; Kunz, T.
- Effects of Respondent Reluctance, Mode, and Technical Difficulties on Straight- Lining and Refusals...; 2013; Gibson, J. L., Mendelson, J.
- The Relations Among Different Cognitive Shortcuts in Surveys; 2013; Tourangeau, R., Medway, R., Presser, S.
- Suppressing Survey Response: Further Evidence to Not Use Web Instruction Cards; 2013; Puniello, O. T., Weiner, M., Noland, R. B.
- Differential Incentives in a Dual Mode Survey of Health Care Providers; 2013; Roff, B., Barrett, K.
- Demonstration of an Integrated Respondent Management and Data Collection Tool for Mixed-Mode (Phone/...; 2013; Luxenberg, H., Rainey, J.
- Effects of Displaying Videos on Measurement in a Web Survey; 2013; Mendelson, J., Gibson, J. L., Romano Bergstrom, J. C.
- The Effect of Attempting to Recruit Respondents to a Web-Based Diary on Overall Response Rate; 2013; Cantave, M. A. Gentry, R. J.
- Comparisons of Online Recruitment Strategies: Craigslist, Facebook, Google Ads and Amazon’s Mechanical...; 2013; Antoun, C., Zhang, C., Conrad, F. G., Schober, M. F.
- Watch Your Language!: The Impact of the Survey Language on Bilingual Hispanics’ Response Process...; 2013; Ay, M., Gross, W., Cobb, C. L., Thomas, R. K.
- Estimation of Expected Academic Engagement Behaviors: The Use of Vague Quantifiers Versus Tallied Responses...; 2013; Cole, J.
- Self-Reported Participation in Research Practices Among Survey Methodology Researchers; 2013; Perez-Vergara, K., Smith, C., Lowenstein, C., Ozonoff, A., Martins, Y.
- Changing of the Guard: Effects of Different Self-Administered Survey Modes on Sensitive Questions; 2013; Barlas, F. M., Higgins, W. B., Pflieger, J., Thomas, R. K., Jeffery, D., Mattiko, M.
- Estimating Measurement Effects of Survey Modes From Between and Within Subject Designs; 2013; Klausch, L. T., Hox, J., Schouten, B.
- Web Versus Outbound: A Mode Face-Off Following the Presidential Debate; 2013; Marlar, J.
- Innovative Retention Methods in Panel Research: Can SmartPhones Improve Long-Term Panel Participation...; 2013; Dayton, J. J., Dyer, A.
- Predicting Survey Breakoff in Internet Survey Panels; 2013; Al Baghal, T., McCutcheon, A. L., Tsabutashvili, D.
- Using GIS to Target Address-Based Samples of Households for a Web (vs. Mail) Response: Evidence from...; 2013; Messer, B. L.
- Is Pushing the General Public to the Web in Address-Based Samples Cost Effective?; 2013; Lesser, V. M.
- Effects of Survey Sponsorship on Internet and Mail Response: Using Address- Based Sampling; 2013; Edwards, M. L.
