Web Survey Bibliography
Item nonresponse in self-administered modes such as Web and mail can be a major problem affecting survey data quality and, in some cases, may be as severe as unit nonresponse. Moreover, little is known about the determinants of item nonresponse in Web and mail household surveys. In this paper, we assess item nonresponse differences by Web and mail modes, question types (e.g. factual, attitudinal, behavioral) and formats (e.g. nominal, ordinal, multi-item, open-end, etc.), and respondent demographics (e.g. gender, age, education, race, and income) in three general public household surveys. For the three surveys, each conducted in the northwestern U.S. in 2007, 2008, and 2009, respectively, we used address-based sampling with the U.S. Postal Service‟s Delivery Sequence File and employed postal mail methods to send all contacts. Sampled respondents in each survey were presented with a) a mail-only response option, b) a mail response option with a Web follow-up sent two weeks later (i.e. mail+web), or c) a Web response option with a mail follow-up sent two weeks later (i.e. web+mail). The Web and mail questionnaires in each survey were designed very similarly in order to minimize and control for effects from visual design and layout. This paper serves to quantify and describe item nonresponse differences and the sources of those differences, and to identify potential ways of reducing item nonresponse in Web and mail modes of data collection.
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Web Survey Bibliography - Nonresponse (1931)
- Timing of Nonparticipation in an Online Panel: The effect of incentive strategies; 2013; Douhou, S., Scherpenzeel, A.
- Mixed-mode including web: Recent developments at Statistics Netherlands; 2013; Luiten, A., Schouten, B.
- Surveys on Mobile Devices: Opportunities and Challenges; 2013; Couper, M. P.
- Experiences from a probability-based Internet panel: Sample, recruitment and participation; 2013; Scherpenzeel, A.
- Participation and engagement in web surveys of the general population: An overview of challenges and...; 2013; Roberts, C.
- Using Web Survey Panels to Estimate Population Characteristics: A Comparison of Alternative Approaches...; 2013; Rivers, D.
- Online Research, Game On!; 2013; Puleston, J.
- The Design of Grids in Web Surveys; 2013; Couper, M. P., Tourangeau, R., Conrad, F. G., Zhang, C.
- Understanding and Applying Research Design; 2013; Abbott, M. L., McKinney, J.
- Virtual Research Methods; 2013; Hine, C.
- Informed Consent for Web Paradata Use; 2013; Couper, M. P., Singer, E.
- Exploring Response Differences between Face-to-Face and Web Surveys: A Qualitative Comparative Analysis...; 2013; Bennink, M., Moors, G., Gelissen, J.
- 'Ready to complete the survey on Facebook': Web 2.0 as a research tool in business studies; 2013; Gregori, A., Baltar, F.
- Convenient yet not a convenience sample: Jury pools as experimental subject pools; 2013; Murray, G. R., Rugeley, C. R., Mitchell, D.-G., Mondak, J. J.
- Examining the Gender Effects of Different Incentive Amounts in a Web Survey; 2013; Boulianne, S. J.
- How Do Lotteries and Study Results Influence Response Behavior in Online Panels?; 2013; Goeritz, A., Luthe, S. C.
- Incentives for college student participation in web-based substance use surveys; 2013; Patrick, M. E., Singer, E., Boyd, C. J., Cranford, J. A., McCabe, S. E.
- Increasing Web Survey Response Rates in Innovation Research: An Experimental Study of Static and Dynamic...; 2013; Sauermann, H.; Roach, M.
- Sample composition discrepancies in different stages of a probability-based online panel; 2013; Bosnjak, M., Haas, I., Galesic, M., Kaczmirek, L., Bandilla, W., Couper, M. P.
- A comparison of data quality and practicality of online versus postal questionnaires in a sample of...; 2013; King, M. T., Butow, P., Olver, I., Smith, A. B.
- Using paradata to explore item-level response times in surveys; 2012; Couper, M. P., Kreuter, F.
- Tracking preference expression (DNT); 2012
- The rise of the "connected viewer"; 2012; Smith, A., Boyles, J. L.
- Guide to social science data preparation. Best practice throughout the data life cycle; 2012
- GMI Pinnacle; 2012
- Explaining rising nonresponse rates in cross-sectional surveys; 2012; Brick, J. M., Williams, D.
- The Impact of Academic Sponsorship on Online Survey Dropout Rates; 2012; Allen, P. J., Roberts, L. D.
- Especially for You: Motivating Respondents in an Internet Panel by Offering Tailored Questions; 2012; Oudejans, M.
- Data quality of questions sensitive to social-desirability bias in web surveys; 2012; Lozar Manfreda, K., Zajc, N., Berzelak, N., Vehovar, V.
- The war against unengaged online respondents; 2012; Gittelman, S. H., Trimarchi, E.
- Can Microtargeting Improve Survey Sampling? An Assessment of Accuracy and Bias in Consumer File Marketing...; 2012; Pasek, J.
- Anonymity and Confidentiality; 2012; Tourangeau, R.
- Cognitive Evaluation of Survey Instruments: State of the Science (Art?) and Future Directions; 2012; Willis, G. B.
- Can Official Records Correct Errors in Turnout Self-reports?; 2012; Berent, M., Krosnick, J. A., Lupia, A.
- Computation of Survey Weights: Bridging Theory and Practice; 2012; Debell, M.
- Optimizing Response Rates; 2012; Brick, J. M.
- The Use and Effects of Incentives in Surveys; 2012; Singer, E.
- Respondent Attrition vs Data Attrition and Their Reduction; 2012; Olsen, R. J.
- Survey Interviewing: Deviations from the Script; 2012; Schaeffer, N. C.
- The Impact of Survery Nonresponse on Survey Accuracy; 2012; Keeter, S.
- An Empirical Investigation of the Role of the Email Contact in Web Survey Response Rates; 2012; Hsu, H.-Y., Lai, Y.-H., Chin, H.-Y.
- Measure the response burden in the Swedish Intrastat system; 2012; Weideskog, F.
- Mode and non-response effects and their treatment; 2012; Chrysanthopoulos, S., Georgostathi, A.
- Between demand and reality: Ensuring efficiency and quality in pretesting questionnaires; 2012; Sattelberger, S., Blanke, K.
- Boosting Web pick-up Rates by referring to Compliance Principles ; 2012; Falnes-Dalheim, E., Haraldsen, G., Sundvoll, A.
- Choosing a Data Collection Approach: Mixed Mode Design Experiences in Statistics Finland; 2012; Taskinen, P., Kiianmaa, N.
- Does mentioning "Some People" and "Other People" in an opinion question improve...; 2012; Yeager, D. S., Krosnick, J. A.
- 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...
- 2010 ACS Content Test Evaluation Report Covering Computer and Internet ; 2012; Shin, H. B.
- Response Mode Choice and the Hard-to-Interview in the American Community Survey; 2012; Nichols, E. M., Horwitz, R., Guarino Tancreto, J.

