Web Survey Bibliography
Online surveys are becoming more and more interactive. Respondents can use new flash question types. Card sorting, clicking on coloured and interactive buttons, ranking of items shown as pictures – the options seems to be nearly unlimited. Research institutes and panel providers expect more fun for the respondents while answering the surveys. But what’s about the results? Are there really effects on respondents and, much more important, is there any effect on the data quality of survey results? - A number of methodological questions emerge, one of them being associated with the measurement possibilities and usability. Therefore, we conduct an empirical study aim at exploring the usability and measurement quality of different flash question types.
Based on a sample provided by an online panel, a classic test design is used with a split-half sample: One half of the sample will receive questions in the commonly used way (e.g. “HTML-Buttons/ Matrix questions”). The other half of the respondents will answer a questionnaire which is programmed with flash technology. The sample will also be quoted with demographic variables like age and gender. Against this background we analyze the perception and usability of flash compared to non-flash question types. Therefore a two-step approach is used, analyzing and comparing objective measures (i.e. termination, loading time) and respondents` subjective perceptions (liking, usability experiences).
The following research questions will be verified in our study:
a) Do response rate, completing rate, answering time of questionnaire and answer-length in open-ended questions increase when using flash technology compared to commonly used scales in online surveys?
b) Are there differences between the flash sample and the “normal” users with regard to data quality?
c) Does the acceptance of flash question types differ between groups of respondents (age and gender groups)?
Based on the results of this study we give recommendations for the use of flash question types in online surveys. Furthermore, the comparison of results deriving from objective measures with respondents’ subjective experiences and evaluation will be outlined.
Conference homepage (abstract)
Web Survey Bibliography - Online measurement (772)
- Developments and the impact of smart technology; 2012; Macer, T.
- How Should Debriefing Be Undertaken in Web-Based Studies? Findings From a Randomized Controlled Trial...; 2012; McCambridge, J., Kypri, K., Wilson, A.
- Better customer in sight in real time; 2012; Macdonald, E., Wilson, H. N., Konus, H.
- An experimental investigation of the effects of noncontingent and contingent incentives in recruiting...; 2012; Lavrakas, P. J., Dennis, J. M., Peugh, J., Shand-Lubbers, J., Lee, E., Peugh, J., Charlebois, O., Murakami...
- The Feasibility of Conducting a Web Survey Using Respondent Driven Sampling among Transgenders in the...; 2012; Kappelhof, J.
- The role of topic interest and topic salience in online panel web surveys.; 2012; Keusch, F.
- Multi-Language Multi-Continent B2B Community Panel: How B2B research can effectively span the world; 2012; Morden, M., Accomando, E.
- Can Survey Gaming Techniques Cross Continents? Examining cross cultural reactions to creative questioning...; 2012; Puleston, J.
- Rules of engagement: The war against poorly engaged respondents - guidelines for elimination; 2012; Gittelman, S. H., Trimarchi, E.
- WebSM Study: Survey software features overview ; 2012; Vehovar, V.; Cehovin, G.; Kavcic, L.; Lenar, J.
- Web Panels; 2012; Bethlehem, J., Biffignandi, S.
- Use of Response Propensities; 2012; Bethlehem, J., Biffignandi, S.
- Weighting Adjustment Techniques; 2012; Bethlehem, J., Biffignandi, S.
- The Problem of Self-Selection; 2012; Bethlehem, J.,Biffignandi, S.
- Designing a Web Survey Questionnaire; 2012; Bethlehem, J., Biffignandi, S.
- Examining Contexts-of-Use for Web-Based and Paper-Based Questionnaires; 2012; Hardré, P. L., Crowson, H. M., Xie, K.
- Probabilistic survey questions and incorrect answers: Retirement income replacement rates; 2012; van Santen, P., Alessie, R., Kalwij, A.
- Survey Quality; 2012; Lyberg, L. E.
- Effects of E-Mailed Versus Mailed Invitations and Incentives on Response Rates, Data Quality, and Costs...; 2012; Dykema, J., Stevenson, J., Klein, L., Kim, Y., Day, B.
- Unit Non-Response Due to Refusal; 2012; Stoop, I.
- Non-Response and Measurement Error; 2012; Billiet, J., Matsuo, H.
- An Overlooked Approach in Survey Research: Total Survey Error; 2012; Bautista, R.
- Data Quality in HIV/AIDS Web-Based Surveys: Handling Invalid and Suspicious Data; 2012; Bauermeister, J. A., Pingel, E., Zimmerman, M., Couper, M. P., Carballo-Diéguez, A., Strecher, V. J.
- Response rates in three opinion surveys performed through online questionnaires in the health setting...; 2012; Aerny Perreten, N., Domínguez-Berjón, M. F., Astray Mochales, J., Esteban-Vasallo, M. D., Blanco Ancos...
- Impact of Fixed Choice Design on Blockmodeling Outcomes; 2012; Znidarsic, A.
- The Mode of Invitation for Web Surveys; 2012; Bandilla, W., Couper, M. P., Kaczmirek, L.
- Disfluencies and Gaze Aversion in Unreliable Responses to Survey Questions; 2012; Schober, M. F., Conrad, F. G., Dijkstra, W., Ongena, Y. P.
- Evaluating Survey Questions: A Comparison of Methods; 2012; Yan, T., Kreuter, F., Tourangeau, R.
- When More Gets You Less: A Meta-Analysis of the Effect of Concurrent Web Options on Mail Survey Response...; 2012; Medway, R., Fulton, J.
- Reliable Online Social Network Data Collection; 2012; Abdesslem, F. B., Parris, I., Henderson, T.
- Enhancing Web Surveys With New HTML5 Input Types; 2012; Funke, F.
- Panel retention rate and data quality: experimental results drawing on Reciprocity design; 2012; Biffignandi, S., Artaz, R.
- Presidential Elections in Iceland 2012 – Did online panel surveys give false hope to new candidates...; 2012; Jonsdottir, G. A., Dofradottir, A. G., Bjornsdottir, A. E.
- Website exit surveys. What can we measure with them?; 2012; Andreadis, I.
- Challenges and pitfalls of measuring wages via web surveys - some explorations; 2012; Steinmetz, S., Bianchi, A., Tijdens, K., Biffignandi, S.
- Firefly Online Surveys: A fully featured tool for Web surveys and forums; 2012; Deal, K.
- Doing the E-Delphi: Using Online Survey Tools; 2012; Holloway, K.
- Using the Web to Snowball Discussants of Survey Respondents; 2012; Hopmann, D. N.
- Online Questionnaire Data Analysis System (OQDAS); 2012; Ali, A. Q.
- A Structural Analysis Based on Similarity between Fuzzy Clusters and Its Application to Evaluation Data...; 2012; Chiba, R., Furutani, T., Sato-Ilic, M.
- Online Survey Spawning, Administration And Management ; 2012; Jepson, S., Powlette, J. F., Queenan, M.
- Mixed Mode Survey Design: Mode Effect Problem; 2012; Sztabinski, F., Zmijewska-Jedrzejczyk, T.
- Transferring Telephone-Based National Household Travel Survey to the Internet ; 2012; Son, S., Khattak, A., Wang, X., Chen, J.-Y.
- Myths and realities of respondent engagement in online surveys; 2012; Downes-Le Guin, T., Baker, R. P., Mechling, J., Ruyle, E.
- Solving the Mode Mystery The Cost, Coverage and Quality Tradeoffs of Picking (and Mixing) Online and...; 2012; Cape, P. J., Phillips, K.
- A beginner's guide to DIY research ; 2012; Cates, T.
- Sample Survey on Sensitive Topics: Investigating Respondents’ Understanding and Trust in Alternative...; 2012; De Schrijver, A.
- Do You Know Who Your Respondents Are? Measuring Data Hygiene Using Respondent Validation; 2012; Frede, S., Suresh, N.
- How Online Technology May Open The Door to More Integrated Qual/Quant Research; 2012; Brandt, D., Markowitz, L.
- Designing an Instrument to Measure No-notice Emergency Evacuations: The Case of the Emergency Evacuation...; 2012; Bautista, R., Fontes, A., Auld, J., Sokolov, V.