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 (4086)
- Current Projects at University of Ljubljana; 2011; Lozar Manfreda, K.
- Collecting information with Knowledge technologies; 2011; Foulonneau, M.
- E-dater, Artificial Actors, and German Households; 2011; Hebing, M.
- DIME-SHS; 2011; Lesnard, L.
- Web based Data Collection – A Jungle becoming a Field or a Field becoming a Jungle? ; 2011; Ole Finnemann, N.
- Standard Definitions: Final Dispositions of Case Codes and Outcome Rates for Surveys 2011; 2011
- Calibrating Non-Probability Internet Samples with Probability Samples Using Early Adopter Characteristics...; 2011; DiSogra, C., Cobb, C. L., Chan, E., Dennis, J. M.
- How Visual Design Affects the Interpretability of Survey Questions; 2011; Toepoel, V., Dillman, D. A.
- True Longitudinal and Probability-Based Internet Panels: Evidence from the Netherlands; 2011; Das, M., Scherpenzeel, A.
- Web Survey Methodology: Interface Design, Sampling and Statistical Inference; 2011; Couper, M. P.
- Effect of interview modes on measurement of identity; 2011; Nandi, A., Platt, L.
- Maintaining Cross-Sectional Representativeness in a Longitudinal General Population Survey ; 2011; Lynn, P.
- Understanding Society Innovation Panel Wave 3: Results from Methodological Experiments; 2011; Burton, J., Budd, S., Gilbert, E., Jaeckle, A., McFall, S., Uhrig, S. C. N.
- The Effect of a Mixed Mode Wave on Subsequent Attrition in a Panel Survey: Evidence from the Understanding...; 2011; Lynn, P.
- Seeing Through the Eyes of the Respondent: An Eye-tracking Study on Survey Question Comprehension; 2011; Lenzner, A., Kaczmirek, L., Galesic, M.
- Eye Tracking in testing questionnaires: What’s the added value?; 2011; Tries, S.
- Panel Recruitment via Facebook; 2011; Toepoel, V.
- Usability and burden measurement in online forms; 2011; Thomsen, P.
- Dynamic Data Editing in online data collection for the Vacant Positions Survey; 2011; Stax, H.-P.
- Utilizing Web Technology in Business Data Collection: Some Norwegian, Dutch and Danish Experiences; 2011; Snijkers, G., Haraldsen, G., Stax, H.-P.
- Web survey software; 2011; Slavec, A., Berzelak, N., Vehovar, V.
- Disentangling relative mode effects for the web survey mode in the Safety Monitor; 2011; Schouten, B., van de Brakel, J., Buelens, B., Klausch, L. T., van der Laan, J.
- Improving validity in web surveys with hard‐to‐reach targets: Online Respondent Driven Sampling...; 2011; Mavletova, A. M.
- Developing Electronic Questionnaires at Statistics Canada: Experiences and Challenges in a Changing...; 2011; Lawrence, D.
- Experiences with mixed mode mail & web-enquêtes in probability samples with known individuals; 2011; Kalgraff Skjak, K., Kolsrud, K.
- Effects of internet data collection in business surveys – the case of the Dutch SBS; 2011; Giesen, D.
- Ignoring the compatibility of online questionnaires may bias the psychological composition of your sample...; 2011; Funke, F.
- Video enhanced web survey; 2011; Fuchs, M., Kunz, T., Gebhard, F.
- Keeping Up Appearances: Maintaining standards during strategic changes in electronic reporting; 2011; Farrell, E., Hewett, K.
- Respondent engagement: using usability testing; 2011; Dowling, Z.
- Scrolling or paging - it depends; 2011; Blanke, K.
- Research Applications for Mobile Data Collection; 2011; Fawson, B.
- Results from Real-Time Data Collection (RTD) vs. Data from Traditional Panelists: Is it valid to combine...; 2011; Pingitore, G., Witten, S., Walker, A., Seldin, D., Ellrodt, R., Muns, N., Parks, C., Serrato, C.
- 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.