Web Survey Bibliography
Previous research has demonstrated that respondents recognize the formal and graphical properties of a questionnaire. Among other aspect, the shape, proximity and color of response boxes have been identified as relevant characteristics (Couper et al., 2004; Christian et al.; 2007; Smyth et al., 2006).
With respect to open-ended text questions it was demonstrated that the size and the design of an input field to an open-ended text questions have a significant effect on the amount of information reported by Web survey respondents (Smyth et al., 2007). Larger input boxes evoke more information, also a segmented box (with lines) yields more input than a simple box. Based on these findings it has been theorized that respondents interpret the size of the response field as auxiliary information when searching for an answer to a survey question and when formatting the response. Thus, in addition to the question wording the formal characteristics of the response box are also of importance for the amount of information provided by the respondents.
Thus, it has been recommended that the size of the response field should reflect the desired amount of information. If a longer elaboration on a particular topic is expected from respondents a small input fields is less appropriate. However, if the response field is too large it may restrain respondents from answering since the large input box is perceived as a signal that a lot of details and text is expected which might overstrain them (resulting in item nonresponse). Thus, the optimal size of an input box to an open-ended text question is a trade-off of item non-response and the amount of information provided by those respondents who are actually answering the question.
Web Survey Bibliography - Online measurement (790)
- Improving the quality of complex surveys: The case of the EU Labour Force Survey ; 2012; van der Valk, J.
- The re-engineering of the Structural Earnings survey process: Mixed - Mode data collection and new E...; 2012; Cardinaleschi, S., De Santis, S., Rocci, F., Spinelli, V.
- Between demand and reality: Ensuring efficiency and quality in pretesting questionnaires; 2012; Sattelberger, S., Blanke, K.
- How to provide high data quality in online-questionnaires: Setting guidelines in design; 2012; Tries, S., Nebel, S., Blanke, K.
- Boosting Web pick-up Rates by referring to Compliance Principles ; 2012; Falnes-Dalheim, E., Haraldsen, G., Sundvoll, A.
- Ebook readings jumps, print book reading declines; 2012; Rainie, L., Duggan, M.
- 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.

