Web Survey Bibliography
Title Assessing the Accuracy of 51 Nonprobability Online Panels and River Samples: A Study of the Advertising Research Foundation 2013 Online Panel Comparison Experiment
Author Yang,Y.;Callegaro,M.;Yang,Y.;Callegaro,M.;Chin,K.;Yang,Y.;Villar,A.;Callegaro, M.; Chin, K.; Krosnick, J. A.; Villar, A.; Yang, Y.
Year 2016
Access date 09.06.2016
Abstract
Survey research is increasingly conducted using online panels and river samples. With a large number of data suppliers available, data purchasers need to understand the accuracy of the data being provided and whether probability sampling continues to yield more accurate measurements of populations. This paper evaluates the accuracy of a probability sample and non-probability survey samples that were created using various different quota sampling strategies and sample sources (panel versus river
samples) on the accuracy of estimates. Data collection was organized by the Advertising Research Foundation (ARF) in 2013. We compare estimates from 45 U.S. online panels of non-probability samples, 6 river samples, and one RDD telephone sample to high-quality benchmarks -- population estimates obtained from large-scale face-to-face surveys of probability samples with extremely high response rates (e.g., ACS, NHIS, and NHANES). The non-probability samples were supplied by 17 major U.S. providers. Online respondents were directed to a third party website where the same questionnaire was administered. The online samples were created using three quota methods: (A) age and gender within regions; (B) Method A plus race/ethnicity; and (C) Method B plus education. Mean questionnaire completion time was 26 minutes, and the average sample size was 1,118. Comparisons are made using unweighted and weighted data, with different weighting strategies of increasing complexity. Accuracy is evaluated using the absolute average error method, where the percentage of respondents who chose the modal category in the benchmark survey is compared to the corresponding percentage in each sample. The study illustrates the need for methodol
ogical rigor when evaluating the performance of survey samples.
samples) on the accuracy of estimates. Data collection was organized by the Advertising Research Foundation (ARF) in 2013. We compare estimates from 45 U.S. online panels of non-probability samples, 6 river samples, and one RDD telephone sample to high-quality benchmarks -- population estimates obtained from large-scale face-to-face surveys of probability samples with extremely high response rates (e.g., ACS, NHIS, and NHANES). The non-probability samples were supplied by 17 major U.S. providers. Online respondents were directed to a third party website where the same questionnaire was administered. The online samples were created using three quota methods: (A) age and gender within regions; (B) Method A plus race/ethnicity; and (C) Method B plus education. Mean questionnaire completion time was 26 minutes, and the average sample size was 1,118. Comparisons are made using unweighted and weighted data, with different weighting strategies of increasing complexity. Accuracy is evaluated using the absolute average error method, where the percentage of respondents who chose the modal category in the benchmark survey is compared to the corresponding percentage in each sample. The study illustrates the need for methodol
ogical rigor when evaluating the performance of survey samples.
Access/Direct link Conference Homepage (abstract)
Year of publication2016
Bibliographic typeConferences, workshops, tutorials, presentations
Web survey bibliography - Krosnick, J. A. (41)
- Assessing the Accuracy of 51 Nonprobability Online Panels and River Samples: A Study of the Advertising...; 2016; Yang,Y.;Callegaro,M.;Yang,Y.;Callegaro,M.;Chin,K.;Yang,Y.;Villar,A.;Callegaro, M.; Chin, K.; Krosnick...
- Establishing the accuracy of online panels for survey research; 2016; Bruggen, E.; van den Brakel, J.; Krosnick, J. A.
- Moderators of Candidate Name-Order Effects in Elections: An Experiment; 2016; Kim, Nu.; Krosnick, J. A.; Casasanto, D.
- 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...
- Comparing response order experiments with probability and non-probability samples; 2015; Yeager, D. S.; Krosnick, J. A.; Silber, H.
- A critical review of studies investigating the quality of data obtained with online panels based on...; 2014; Callegaro, M., Villar, A., Yeager, D. S., Krosnick, J. A.
- Online panel research: History, concepts, applications and a look at the future; 2014; Callegaro, M., Baker, R., Bethlehem, J., Goeritz, A., Krosnick, J. A., Lavrakas, P. J.
- Improving ability measurement in surveys by following the principles of IRT: The Wordsum vocabulary...; 2012; Cor, K., Haertel, E., Krosnick, J. A., Malhotra, N.
- Improving Question Design to Maximize Reliability and Validity; 2012; Krosnick, J. A.
- How accurate are surveys of objective phenomena?; 2012; Chang, L. C., Krosnick, J. A.
- A Systematic Review of Studies Investigating the Quality of Data Obtained with Online Panels; 2012; Callegaro, M., Villar, A., Krosnick, J. A., Yeager, D. S.
- Measuring americans' issue priorities. A new version of the most important problem question reveals...; 2011; Yeager, D. S., Larson, S. B., Krosnick, J. A., Tompson, T.
- Experiments for evaluating survey questions; 2011; Krosnick, J. A.
- Does mentioning "some people" and "other people" in a survey question increase the...; 2011; Yeager, D. S., Krosnick, J. A.
- Measuring User Satisfaction in the Lab: Questionnaire Mode, Physical Location, and Social Presence Concerns...; 2011; Jans, M., Romano, J. C., Ashenfelter, K. T., Krosnick, J. A.
- Measuring Intent to Participate and Participation in the 2010 Census and Their Correlates and Trends...; 2010; Pasek, J., Krosnick, J. A.
- Assessing the Accuracy of the Face-to-Face Recruited Internet Survey Platform: A Comparison of Behavioral...; 2010; Villar, A., Malka, A., Krosnick, J. A.
- Study of Non-Probability Sample Internet Surveys' Estimates of Consumer Product Usage and Demographic...; 2010; Yeager, D. S., Carter, A., Tewoldemedhin, H., Krosnick, J. A.
- User’s Guide to the Advance Release of the 2008-2009 ANES Panel Study ; 2009; DeBell, M.; Krosnick, J. A.; Lupia, A.; Roberts, C.
- Question and Questionnaire Design; 2009; Krosnick, J. A., Presser, S.
- Attrition in a Face-to-Face Recruited Internet Panel with Substantial Incentives; 2009; Malka, A., Krosnick, J. A., Ackermann, A., Debell, M., Turakhia, C.
- Lessons Learned About How to Accomplish Effective In- Person Recruitment of a Web-Equipped Survey Panel...; 2009; Ackermann, A., Krosnick, J. A., Turakhia, C., Debell, M., Malka, A., Jarmon, R.
- Comparison Study of Probability and Non-Probability Sample Surveys Conducted by Internet and Face to...; 2009; Yeager, D. S., Krosnick, J. A.
- Does Weighting Improve the Accuracy of Data from Non- Probability Internet Survey Panels of People Who...; 2009; Yeager, D. S., Krosnick, J. A.
- National Surveys Via RDD Telephone Interviewing vs. the Internet: Comparing Sample Representativeness...; 2009; Chang, L. C., Krosnick, J. A.
- Scientific Survey Research: Sustainable in an Online World?; 2009; Krosnick, J. A.
- Money for Surveys: What about Data-Quality?; 2009; A.Krosnick, J. A.
- The accuracy of online surveys with non-probability samples; 2008; Krosnick, J. A.
- ‘For Example’: How Different Example Types in Online Surveys Influence Frequency ; 2008; Berent, M., Krosnick, J. A.
- Comparing the Results of Probability and Non-probability Telephone and Internet Survey Data; 2008; Wang, R., Krosnick, J. A.
- “For Example…,” How Different Example Types in Online Surveys Influence Frequency...; 2008; Berent, M., Krosnick, J. A.
- Response option ordering: Reconciliating meanings conveyed by rating scale position and label. Unpublished...; 2007; Garland, P., Krosnick, J. A.
- Vote Over-Reporting: Testing the Social Desirability Hypothesis in Telephone and Internet Surveys; 2005; Holbrook, A. L., Krosnick, J. A.
- The Economist/YouGov Internet Presidential poll.; 2004; Fiorina, M., Krosnick, J. A.
- Telephone versus face-to-face interviewing of national probability samples with long questionnaires:...; 2003; Holbrook, A. L.; C., Green, M. C., Krosnick, J. A.
- Can What We Don’t Know (about “Don’t Know”) Hurt Us?: Effects of Item Non-response...; 2003; Krosnick, J. A., Behnke, C. S., Lafond, C. R., Thomas, R. K.
- The threat of satisficing in surveys: The shortcuts respondents take in answering questions; 2000; Krosnick, J. A.
- Survey research; 1999; Krosnick, J. A.
- Designing rating scales for effective measurernent in surveys; 1997; Krosnick, J. A., Fabrigar, L. R.
- Mail Surveys for Election Forecasting? An Evaluation of the Columbus Dispatch Poll; 1996; Krosnick, J. A.
- Response strategies for coping with the cognitive demands of attitude measures in surveys; 1991; Krosnick, J. A.