Web Survey Bibliography
In Web-based surveys, a forced response to questions can be a solution to item non-response. This method may come with costs, however, that could affect the quality of responses and respondent drop-off rate. The Graduate Management Admission Council© (GMAC) conducted a Web-based survey with 4,135 motivated graduate business school alumni. GMAC investigated the impact that forced-response items had on respondent drop-off and qualitative differences in item answers. The survey used a random split-sample: Half of the respondents were forced to answer all survey questions. The other half was allowed to move to the next question without answering the current question. For the latter group, a request-response prompt notified respondents of an unanswered question and asked whether they would like to continue with or without answering the item. The survey was comprised of 49 questions and had an average completion time of 20 minutes. No differences were found between the forced-response and the request-response conditions with respect to respondent drop-off. In addition, no differences were found in the attitudinal nature of the response items. The forced-response and requestresponse designs had no impact on the response to categorical items regardless of placement in the survey. There was a marginal impact on items of personal sensitivity, such as compensation; however, this was not true for all finance-related questions. A motivated and interested population of graduate management alumni completed a lengthy questionnaire without regard to the treatment in this study. Furthermore, the content of responses was not impacted by forced or requested item conditions, and the only hesitancy was to reveal sensitive information, which is a common survey respondent issue.
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Web survey bibliography (4086)
- The 2012 Confirmit Annual Market Research Software Survey; 2013; Macer, T., Wilson, S.
- A mixed-mode survey tackling against an increasing rate of nonresponse; 2013; Jokinen, M.
- Using Mixed-Mode Contacts in Client Surveys: Getting More Bang for Your Buck; 2013; Israel, G. D.
- Using Eye Tracking Data to Understand Respondent's Processing of Rating Scales; 2013; Kunz, T., Fuchs, M.
- Advancing the field of questionnaire translation - identifying problems, discussing methods, pushing...; 2013; Behr, D., Dorer, B., Van Houten, G
- European Values Study - methodological and substantive applications; 2013; Luijkx, R., Jagodzinski, W.
- The Impact of Culture and Economy on Values and Attitudes; 2013; Duelmer, H., Voicu, M.
- Educational attainment in cross-national surveys: instrument design, data collection, harmonisation...; 2013; Schneider, S.
- Mode Effects in Mixed-Mode Surveys: Prevention, Diagnostics, and Adjustment 1; 2013; de Leeuw, E. D., Dillman, D. A., Schouten, B.
- History of Technology in Research; 2013; Sahu, C.
- Comparing Web-based with Mail Survey Administration of the Consumer Assessment of Healthcare Providers...; 2013; Bergeson , S. C., Gray, J., Ehrmantraut, L. A., Hays, R. D.
- Data Collection in Sociolinguistics: Methods and Applications; 2013; Mallinson, C., Childs, B., Van Herk, G.
- Effect of survey mode on response patterns: comparison of face-to-face and self-administered modes in...; 2013; Illemann Christensen, A., Ekholm, O., Gluemer, C., Juel, K.
- Online Survey Data Quality and its Implication for Willingness-to-Pay: A Cross-Country Comparison; 2013; Gao, Z., House, L., Jing, X.
- The Online Statistical Survey As An Alternative To Traditional Methods; 2013; Dinu, S., Nitoiu, M., Pomazan, C.
- Self-Rated Health Assessed by Web Versus Mail Modes in a Mixed Mode Survey: The Digital Divide Effect...; 2013; Shim, J.-M., Shin, E., Johnson, T. P.
- Online Survey Design and Development: A Janus-Faced Approach; 2013; Lauer, C., McLeod, M., Blythe, S.
- Survey Sidekick: Learning & designing scientifically sound surveys; 2013; Hsiao, I.-H., Malhotra, M., Joo, J., Chae, H. S., Natriello, G.
- Satisficing in Web Surveys: Implications for Data Quality and Strategies for Reduction; 2013; Zhang, Che.
- A probability-based web panel for UK policy research: some initial thoughts from a Government survey...; 2013; Littlechild, J.
- Scientific impact of the MESS Project: A brief overview; 2013; Das, M.
- A probability-based web panel for the UK: What could it look like?; 2013; Nicolaas, G.
- Current UK provision of web panaels and Omnibus; 2013; Lagorio, C.
- Feasibility of Using Web to Survey at a Sample of Addresses: a UK ESS experiment; 2013; Villar, A.
- What works? Getting the General Population To Go Online in a Mixed Mode Local Health Survey; 2013; Frigault, L.-R., Azzou, S. A. K., Molloy, E. J. K., Ammarguellat, F., Couture, M., Gratton, J.
- ONS Plans for Web Data Collection in LFS; 2013; Lound, C.
- On-line questionnaire completion time and personality test scores; 2013; Furnham, A., Hyde, G., Trickey, G.
- 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.
- Usability and Accessibility Guidelines for Web Sites and Web Surveys ; 2013; Ashenfelter, K. T.
- 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.
- Factors Influencing Survey Participation Rates on an Online, Probability-Based Research Panel; 2013; Wiest, D.
- Effects of Self-Awareness on Disclosure During Skype Survey Interviews; 2013; Feuer, S., Schober, M. F.
- 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.