Web Survey Bibliography
Background: Quality normative data requires a diverse sample of participants and plays an important role in the appropriate use of health outcomes. Using social media and other online resources for survey recruitment is a tempting prospect, but the effectiveness of these methods in collecting a diverse sample is unknown. The purpose of this study is to pilot test four methods of recruitment to determine their ability to produce a sample representative of the general US population. Methods: This project is part of a larger study to gather normative data for the Michigan Hand Outcomes Questionnaire (MHQ). We used flyers, e-mail, Facebook, and an institution-specific clinical research recruitment Web site to direct participants to complete an online version of the MHQ. Participants also provided comorbidity and demographic information. Results: The institution-specific recruitment Web site yielded the greatest number of respondents in an age distribution that mirrored the US population. Facebook was effective for recruiting young adults, and e-mail was successful for recruiting the older adults. None of the methods was successful in reaching an ethnically diverse sample. Conclusions: Obtaining normative data that is truly representative of the US population is a difficult task. The use of any one recruitment method is unlikely to result in a representative sample, but a greater understanding of these methods will empower researchers to use them to target specific populations. This pilot analysis provides support for the use of Facebook and clinical research sites in addition to traditional methods of e-mail and paper flyers.
Web survey bibliography - Noncoverage & sampling (851)
- Solving the Nonresponse Problem With Sample Matching?; 2016
- HUFFPOLLSTER: Why Reaching Latinos Is A Challenge For Pollsters; 2016; Jackson, N. M.; Edwards-Levy, A.; Velencia, J.
- Predictive inference for non-probability samples: a simulation study ; 2016; Buelens, B.; Burger, J.; van den Brakel, J.
- Does the Inclusion of Non-Internet Households in a Web Panel Reduce Coverage Bias?; 2016; Eckman, S.
- Quota Controls in Survey Research.; 2016; Gittelman, S. H.; Thomas, R. K.; Lavrakas, P. J.; Lange, V.
- Scientific Surveys Based on Incomplete Sampling Frames and High Rates of Nonresponse; 2016; Fahimi, M.; Barlas, F. M.; Thomas, R. K.; Buttermore, N. R.
- Doing Surveys Online ; 2016; Toepoel, V.
- Doing Online Surveys: Zum Einsatz in der sozialwissenschaftlichen Raumforschung; 2015; Nadler, R.; Petzold, K.; Schoenduwe, R.
- Response Rates and Response Bias in Web Panel Surveys; 2015; Boyle, J.; Berman, L.; Dayton, Ja.; Fakhouri, T.; Iachan, R.; Courtright, M.; Pashupati, K.
- Characteristics of the Population of Internet Panel Members; 2015; Boyle, J; Freedner, N.; Fakhouri, T.
- Internet and Smartphone Coverage in a National Health Survey: Implications for Alternative Modes; 2015; Couper, M. P.; Kelley, J.; Axinn, W.; Guyer, H.; Wagner, J.; West, B. T.
- An Overview of Mobile CATI Issues in Europe; 2015; Slavec, A.; Toninelli, D.
- Using Mobile Phones for High-Frequency Data Collection; 2015; Azevedo, J. P.; Ballivian, A.; Durbin, W.
- Willingness of Online Access Panel Members to Participate in Smartphone Application-Based Research; 2015; Pinter, R.
- Who Has Access to Mobile Devices in an Online Opt-in Panel? An Analysis of Potential Respondents for...; 2015; Revilla, M.; Toninelli, D.; Ochoa, C.; Loewe, G.
- Who Are the Internet Users, Mobile Internet Users, and Mobile-Mostly Internet Users?: Demographic Differences...; 2015; Antoun, C.
- Optimizing the Decennial Census for Mobile – A Case Study; 2015; Nichols, E. M.; Hawala, E. O.; Horwitz, R.; Bentley, M.
- App vs. Web for Surveys of Smartphone Users: Experimenting with mobile apps for signal-contingent experience...; 2015; McGeeney, K.; Keeter, S.; Igielnik, R.; Smith, A.; Rainie, L.
- On the Go: How Mobile Participants Affect Survey Results; 2015; Barlas, F. M.; Thomas, R. K.
- Variance Estimation for Surveys from Internet Panels ; 2015; Rivers, D.
- Sensitivity Analysis of Bias of Estimates from Web Surveys with Nonrandomized Panel Selection; 2015; Beresovsky, V.
- Detecting Fraud in a Survey Sample Recruited Online; 2015; Brown, D.; Dever, J. A.; Augustson, E.; Squiers, L.
- On Climbing Stairs Many Steps at a Time: The New Normal in Survey Methodology; 2015; Dillman, D. A.
- Mobile Research Methods: Opportunities and challenges of mobile research methodologies. ; 2015; Toninelli, D. (Ed.); Pinter, R.; de Pedraza, P.
- Explorations in Non - Probability Sampling Using the Web; 2015; Brick, J. M.
- On Bias Adjustments for Web Surveys; 2015; Fan, L.; Lou, W.; Landsman, V.
- Web panel surveys – a challenge for official statistics; 2015; Svensson, J.
- Estimation with Non-probability Surveys and the Question of External Validity; 2015; Dever, J. A.; Valliant, R. L.
- Can Non-full-probability Internet Surveys Yield Useful Data? A Comparison with Full-probability Face...; 2015; Simmons, A.D.; Bobo, L. D.
- The Cathie Marsh lecture: What does the failure of the polls tell us about the future of survey research...; 2015; Sturgis, P., Matheson, J.
- Hidden Populations, Online Purposive Sampling, and External Validity: Taking off the Blindfold; 2015; Barrat, M. J.; Ferris, J. A.; Lenton, S.
- Mixed Mode Design Considerations; 2015; Hupp, A.
- Standard Definitions: Final Dispositions of Case Codes and Outcome Rates for Surveys 2015; 2015
- Analysis of four recruitment methods for obtaining normative data through a Web-based questionnaire:...; 2015; Nolte, M. T.; Shauver, M. J.; Chung, K. C.
- Doing online research involving university students with disabilities: Methodological issues; 2015; De Cesarei, A.; Baldaro, B.
- Understanding Society Innovation Panel Wave 7: Results from Methodological Experiments; 2015; Blom, A. G.; Burton, J.; Booker, C. L.; Cernat, A.; Fairbrother, M.; Jaeckle, A.; Kaminska, O.; Keusch...
- Correcting for non-response bias in contingent valuation surveys concerning environmental non-market...; 2015; Bonnichsen, O.; Boye Olsen, S.
- An Introduction to Survey Research; 2015; Cowles, E. L.; Nelson, E.
- HUFFPOLLSTER: Pollsters Debate If Modern Surveys Can Be Trusted; 2015; Blumenthal, M.; Edwards-Levy, A.; Velencia, J.
- Using Internet to Recruit Immigrants with Language and Culture Barriers for Tobacco and Alcohol Use...; 2015; Carlini, B. H.; Safioti, L.; Rue, T. C.; Miles, L.
- Online Recruitment Methods for Web-Based and Mobile Health Studies: A Review of the Literature; 2015; Lane, T. S.; Armin, J.; Gordon, Ju. S.
- iTunes Song-Gifting is a Low-Cost, Efficient Recruitment Tool to Engage High-Risk MSM in Internet Research...; 2015; Holland, C. M.; Ritchie, N. D.; Du Bois, S. N.
- Comparing the Similarity of Responses Received from Studies in Amazon’s Mechanical Turk to Studies...; 2015; Bartneck, C.; Duenser, A.; Moltchanova, E.; Zawieska, K.
- Recruiting Online: Lessons From a Longitudinal Survey of Contraception and Pregnancy Intentions of Young...; 2015; Harris, M. L.; Loxton, D.; Wigginton, B.; Lucke, J. C.
- Recruiting for addiction research via Facebook; 2015; Thornton, L. K.; Harris, K.; Baker, A.; Johnson, M.; Kay-Lambkin, F. J.
- Can a non-probabilistic online panel achieve question quality similar to that of the European Social...; 2015; Revilla, M.; Saris, W. E.; Loewe, G.; Ochoa, C.
- Innovative Recruitment Using Online Networks: Lessons Learned From an Online Study of Alcohol and Other...; 2015; Bauermeister, J. A.; Zimmerman, M. A.; Johns, M. M.; Glowacki, P. F.; Stoddard, S. A.; Volz, E. M.
- Probabilistic Web Survey Methodology in Education Centers: An Example in Spanish Schools; 2015; Tapia, J. A., Menendez, J. A.
- Understanding Participation in a Web-Based Measurement Burst Design: Response Metrics and Predictors...; 2015; Griffin, J., Patrick, M. E.
- Facebook as a Tool for Respondent Tracing; 2015; Schneider, S. J., Burke-Garcia, A., Thomas, G.