Web Survey Bibliography
Relevance and research question: Nonserious answering is one of the most important threats to the validity of online research (Oppenheimer, 2009). Respondents with little motivation to participate, or respondents who are interested in a survey's content or methodology only may decide to participate without giving serious answers, thus increasing noise and reducing experimental power.
Methods and data: One approach to identifying nonserious participants is to directly ask respondents about the seriousness of their participation (Klauer, Musch & Naumer, 2000; Musch & Klauer, 2002; Reips, 2000, 2002). We hypothesized that when given an opportunity to do so, randomly answering participants might be willing to identify themselves to help researchers (Reips, 2009). To validate this approach, we questioned a sample of more than 3000 respondents in the week prior to the German 2009 federal election to the Bundestag. We asked the participants whether they were responding to the questions in earnest, expecting that the exclusion of nonserious participants would help to improve data quality.
Results: We found that restricting analyses to serious participants allowed a more valid forecast of the election result. Moreover, serious participants answered attitudinal questions in a more consistent manner than nonserious participants. For example, among serious participants, self-ratings on a left-right scale correlated more strongly with approval ratings for the two major parties (CDU/CSU and SPD), and intentions to vote corresponded better with the participant’s recollections of their voting behavior in a previous election.
Added value: Taken together, our results document the usefulness of employing seriousness checks to improve data validity. We therefore recommend to routinely employ seriousness checks in online surveys. Nonserious participants should be allowed to render their data invalid, instead of letting their data invalidate the results.
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Web survey bibliography - 2010 (251)
- Running experiments on Amazon Mechanical Turk; 2010; Paolacci, G., Chandler, J., Ipeirotis, P. G.
- Making Good Use of Survey Paradata; 2010; Lynn, P., Nicolaas, G.
- Questionnaire Length, Fatigue Effects and Response Quality Revisited; 2010; Cape, P. J.
- Preventing Satisficing in Online Surveys: A “Kapcha” to Ensure Higher Quality Data...; 2010; Chandler, D., Kapelner, A.
- Game on; 2010; Ewing, T.
- Respondent Engagement: How Much Does it Matter?; 2010
- The Internet and Social Inequalities; 2010; Mannon, S.E.; Witte, J. C.
- Need to Improve Routine HIV Testing of U.S. Veterans in Care: Results of an Internet Survey; 2010; Valdiserri, R. O., Nazi, K., McInnes, D. K., Ross, D., Kinsinger, L.
- The Prevalence of Chronic Pain in United States Adults: Results of an Internet-Based Survey; 2010; Johannes, C. B., Le, T. K., Zhou, X., Johnston, J. A., Dworkin, R. H.
- Response Rates in Organizational Science, 1995–2008: A Meta-analytic Review and Guidelines for...; 2010; Anseel, F., Lievens, F., Schollaert, E., Choragwicka, B.
- Marketing Research: Methodological Foundations; 2010; Iacobucci, D., Churchill, G.A. Jr.
- Computer Assisted Interview Testing Tool (CTT) - a review of new features and how the tool has improved...; 2010; Stark, R., Gatward, R.
- Address-based Sampling Nets Success for KnowledgePanel® Recruitment and Sample Representation; 2010; DiSogra, C.
- A method of automated nonparametric content analysis for social science; 2010; Hopkins, D. J., King, G.
- Developing a web explicit research strategy theory in African universities: a cross-comparison of specific...; 2010; Kirigha, K. A., Neema-A.
- The use of paradata to monitor and manage survey data collection; 2010; Kreuter, F., Couper, M. P., Lyberg, L. E.
- Mitigating Online Survey Nonresponse Error In Aviation Research; 2010; Ison, D. C.
- Optimizing response rates in online surveys; 2010; Kaczmirek, L.
- The Decision Maker's Guide to Online Research; 2010
- Mixed-Method Approaches to Social Network Analysis; 2010; Edwards, G.
- Measuring Intent to Participate and Participation in the 2010 Census and Their Correlates and Trends...; 2010; Pasek, J., Krosnick, J. A.
- Nonresponse and Measurement Error in Mobile Phone Surveys ; 2010; Kennedy, C.
- Wordle; 2010; Feinberg, J.
- What it takes to be a top 100 website; 2010
- Total Survey Error: past, present, and future; 2010; Groves, R. M., Lyberg, L. E.
- There is an app for that! A review of smartphone apps for marketing research; 2010; Michelson, M.
- The who, what, and where of America: Understanding the American Community Survey; 2010; Gaquin, D. A.
- The weirdest people in the world?; 2010; Heine, S. J., Henrich, J., Norenzayan, A.
- The state of online research in the U.S.; 2010; Miller, J.
- The psychology or survey response. An ASA webinar; 2010; Tourangeau, R.
- The psychology of survey response, 2nd Edition; 2010; Tourangeau, R., Bradburn, N. M.
- The multidimensional integral business survey response model; 2010; Bavdaz, M.
- The impact of next and back buttons on time to complete and measurement reliability in computer-based...; 2010; Hays, R. D., Bode, R., Rothrock, N., Riley, W., Cella, D., Gershon, R.
- The Gallup Poll: Public opinion 2009; 2010; Gallup, A. M.
- Surveying cultures: Discovering shared conceptions and sentiments; 2010; Heise, D. R.
- Site-intercpet survey best practices; 2010; Henning, J.
- Sampling: design and analysis, 2nd Edition; 2010; Lohr, S. L.
- Research synthesis. AAPOR report on online panels; 2010; Brick, J. M., Baker, R., Blumberg, S. J., Couper, M. P., Courtright, M., Dennis, J. M., Dillman, D....
- Recruiting probability samples for a multi-mode research panel with Internet and mail components; 2010; Rao, K.
- Real ID. State of The Art Representative and Repeatable Online Samples. Behaviorally Profiled Respondents...; 2010; Gittelman, S. H., Trimarchi, E.
- Randomized response and indirect questioning techniques in surveys; 2010; Chaudhuri, A.
- Protecting and accessing data from the survey of earned doctorates: A workshop summary; 2010; Plewes, T. J.
- Paradata: a new data source from web-administered measures; 2010; Sowan, A. K., Jenkins, L. S.
- Overview of data collection methodology; 2010
- On-the-go and in-the-moment. Mobile research offers speed, immediacy; 2010; Pferdekamper, T.
- Mixed-mode surveys; 2010; Dillman, D. A., Messer, B. L.
- Measuring the group quarters population in the American Community Survey: Interim report; 2010; Marton, K., Voss, P. R.
- Measures of interobserver agreement and reliability; 2010; Shoukri, M. M.
- Machines that lean how to code open ended survey data; 2010; Esuli, A., Sebastiani, F.
- Libraries nationwide receiving ALA-APA Library Salary Survey Invitation; 2010; Grady, J.