Web Survey Bibliography
Computer and internet based questionnaires have become a standard tool in Human-Computer Interaction research and other related fields, such as psychology and sociology. Amazon’s Mechanical Turk (AMT) service is a new method of recruiting participants and conducting certain types of experiments. This study compares whether participants recruited through AMT give different responses than participants recruited through an online forum or recruited directly on a university campus. Moreover, we compare whether a study conducted within AMT results in different responses compared to a study for which participants are recruited through AMT but which is conducted using an external online questionnaire service. The results of this study show that there is a statistical difference between results obtained from participants recruited through AMT compared to the results from the participant recruited on campus or through online forums. We do, however, argue that this difference is so small that it has no practical consequence. There was no significant difference between running the study within AMT compared to running it with an online questionnaire service. There was no significant difference between results obtained directly from within AMT compared to results obtained in the campus and online forum condition. This may suggest that AMT is a viable and economical option for recruiting participants and for conducting studies as setting up and running a study with AMT generally requires less effort and time compared to other frequently used methods. We discuss our findings as well as limitations of using AMT for empirical studies.
ProQuest (Abstract) / (Full text); Journal Homepage (Abstract) / (Full text)
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.