Web Survey Bibliography
Rising costs of survey data collection and researchers' growing concerns about the quality of survey data necessitate the development of innovative approaches to data collection. This research will focus on improving survey data collected from computer-assisted methods. The project will include research related to internet data collection and computer-assisted telephone interviews (CATI) data collection systems, along with the variants of these computer-assisted data collection systems. With an overall goal of improving the quality of data derived from surveys, the research will focus on accomplishing three objectives. First, the study will evaluate the use of four diagnostic tools for identifying measurement errors in computer-assisted, interviewer-administered data collection instruments, and it will use these findings to inform visual redesign of common features of computer-assisted, interviewer-administered data collection instruments. Second, the study will evaluate the use of adaptive/responsive designs in which a dynamic modeling of collected data is used to modify the questionnaire as the data are being collected. Third, the study will evaluate the application of calendar- and time diary-based data collection methods to aid in the accuracy of behavioral self-reports by tailoring questions to the needs of individual respondents. The tasks under these objectives will be integrative, allowing researchers to improve survey designs/instruments and enhance data quality by reducing interviewer and respondent burden. The interdisciplinary project team includes experts in statistics, psychology, sociology, survey research and methodology, and computer science. The team will leverage long-term collaborations and partner with industry leaders -- Gallup and Abt SRBI -- as well as Census to accomplish its goal and objectives. This research will advance scientific knowledge in survey methodology and related fields. Reducing measurement errors in survey data is critical to accurate inference from survey data, and identifying new tools that minimize or reduce measurement errors in survey data will improve conclusions made from surveys across fields. In addition to advancing discovery and understanding in survey data collection, the project will contribute significantly to the training of future survey research professionals through implementation of an education plan designed to: (1) recruit and retain a diverse methodologically-oriented student pool from related social science and statistical disciplines; (2) integrate research into existing and new curricula at UNL; (3) provide all participating students with hands-on research opportunities; and (4) develop student researchers' professional skills. The results will be broadly relevant and broadly disseminated at multidisciplinary and interdisciplinary conferences and workshops, to the federal statistical agencies, and to researchers in the survey industry. This activity is supported by the NSF-Census Research Network funding opportunity.
NSF Homepage (abstract) / (full text)
Web survey bibliography - 2011 (358)
- Widening the Net: A Comparison of Online Intercept and Access Panel Sampling; 2011; Bakken, D. G., Nawani, R.
- Making it fit: how survey technology providers are responding to the challenges of handling web surveys...; 2011; Macer, T.
- Probably the Best Bias in the World?; 2011; Dent, T.
- Optimus Modus: Comparing interviewing modes for visitor surveys; 2011; Stanley, N., Jenkins, S.
- The development of the KubeMatrix™ as a mobile app for Market Research Online Communities; 2011; Birks, D. F., Wilson, De.
- Online Research – Game On!: A look at how gaming techniques can transform your online research; 2011; Puleston, J.
- Engagement, Consistency, Reach – why the Technology Landscape Precludes All Three; 2011; Johnson, A., Rolfe, G.
- The use of paradata to improve data collection at Statistics Canada: Empirical results and research; 2011; Gambino, J., Wrighte, D.
- Medium Node: NSF Census Research Network; 2011; McCutcheon, A. L., Belli, R. F., Olson, K., Smyth, J. D., Soh, L.-K.
- A new online building survey system; 2011; Wang, Yic.
- A Comparison of Internet-Based Participant Recruitment Methods: Engaging the Hidden Population of Cannabis...; 2011; Temple, E. C., Brown, R. F.
- The German Access Panel and the Impact of Response Propensities; 2011; Amarov, B., Enderle, T., Muennich, R., Rendtel, U., Zins, S.
- Web Survey Process within the Concept of eSocial Sciences; 2011; Vehovar, V.
- Can biomarkers be collected in an Internet survey? A pilot study in the LISS panel; 2011; Avendano, M., Mackenbach, J., Scherpenzeel, A.
- Innovations in survey sampling design: Discussion of three contributions presented at the U.S. Census...; 2011; Opsomer, J.
- A Bayesian analysis of small area probabilities under a constraint; 2011; Nandram, B., Sayit, H.
- Adaptive network and spatial sampling; 2011; Thompson, S. K.
- Experiences with the online questionnaire on www.csfd.cz as a part of mixed research; 2011; Kratka, J.
- Administered versus self-administered online surveys: Are the findings comparable?; 2011; de Rada, V. D.
- Impact of Length or Relevance of Questionnaires on Attrition in Online Trials: Randomized Controlled...; 2011; McCambridge, J., Kalaitzaki, E., White, I. R., Khadjesari, Z., Murray, E., Linke, S., Thompson, S. G...
- Questions for Surveys: Current Trends and Future Directions; 2011; Schaeffer, N. C., Schaeffer, N. C.
- The Future of Modes of Data Collection; 2011; Couper, M. P.
- The Future of Survey Sampling; 2011; Brick, J. M.
- Methodological Issues in Internet-Mediated Research: A Randomized Comparison of Internet Versus Mailed...; 2011; Whitehead, L.
- Why do you play? The development of the motives for online gaming questionnaire (MOGQ); 2011; Demetrovics, Z., Urbán, R., Nagygyörgy, K., Farkas, J., Zilahy, D., Mervó, B., Reindl, A., Agoston,...
- Citizen Satisfaction Survey Data: A Mode Comparison of the Derived-Importance Performance Approach; 2011; Herian, M. N., Tomkins, A. J.
- Surveying ourselves: examining the use of a web-based approach for a physician survey.; 2011; Matteson, K., Anderson, B. L., Pinto, S. B., Clark, M. A., Lopes, V., Schulkin, J.
- Using Online Surveys to Conduct Jury Research; 2011; Edelman, B.
- The Impact of Non-Response Treatments on the Stability of Blockmodels; 2011; Znidarsic, A., Ferligoj, A., Doreian, P.
- The “Frequency Divide” on Web Surveys: Opinions, Behaviours and Demographics Differences...; 2011; Reis, E., Vicente, P.
- LinkedIn and Facebook in Belgium: The Influences and Biases of Social Network Sites in Recruitment and...; 2011; Caers, R., Castelyns, V.
- Apples and oranges: does a web survey produce similar results to social media tracking?; 2011; Bourque, C., Hobbs, R., Hilaire, D. S.
- PhD Students’ Research Group Networks. A Qualitative Approach; 2011; Coromina, L., Capo, A., Coenders, G., Guia, J.
- The influence of Social Support and Personal Networks on Doctoral Student Performance; 2011; Hlebec, V., Kogovsek, T., Ferligoj, A.
- From Busy Bees to Science Geeks and Party Animals: A Typology of Slovenian Doctoral Students; 2011; Hlebec, V., Kogovsek, T., Ferligoj, A.
- PhD Students’ Research Group Social Capital in Two Countries: A Clustering Approach with Duocentred...; 2011; Coenders, G., Coromina, L., Ferligoj, A., Guia, J.
- Preface; 2011; Coenders, G., Doreian, P.
- Does the Inclusion of a Cost Attribute in Forced and Unforced Choices Matter? Results from a Web Survey...; 2011; Pedersen, L. B., Kjaer, T., Kragstrup, J., Gyrd-Hansen, D.
- Explaining Unit Nonresponse in Online Panel Surveys: An Application of the Extended Theory of Planned...; 2011; Haunberger, S.
- Reliability and Validity of Self-Reported Smoking in an Anonymous Online Survey With Young Adults; 2011; Ramo, D. E., Hall, S. M., Prochaska, J. J.
- Nonparametric Tests of Panel Conditioning and Attrition Bias in Panel Surveys; 2011; Das, M., Toepoel, V., van Soest, A.
- Preferences, intentions, and expectation violations: A large-scale experiment with a representative...; 2011; Bellemare. C., Kroeger, S., van Soest, A.
- Twitter mood predicts the stock market.; 2011; Bollen, J., Mao, H., Zeng, X.-J.
- Using Facebook to Locate Sample Members; 2011; Rhodes, B. B., Marks, E. L.
- Paradata in Survey Research; 2011; West, B. T.
- The Perils of Online Surveys; 2011; McCullough, P. R.
- A National Profile of Teacher Education Faculty: The Construction of an Online Survey; 2011; Graber, K. C., Erwin, H., Woods, A. M., Rhoades, J., Zhu, W.
- Validation of the web-based LUMINA questionnaire for recruiting large cohorts of migraineurs; 2011; van Oosterhout, W. P. J., Weller, C. M., Stam, A. H., Stijnen, T., Ferrari, M. D., Terwindt, G. M.
- Exploring Health-related Experiences and Access to Care: Differences between Online and Telephone Survey...; 2011; Doty, M. M., Peugh, J., Shand-Lubbers, J.
- The Impact of “Forgiving” Introductions on the Reporting of Sensitive Behavior in Surveys...; 2011; Peter, J., Valkenburg, P. M.