Web Survey Bibliography
Title Calculating Standard Errors for Nonprobability Samples when Matching to Probability Samples
Author Lee, Ad.; ZuWallack, R. S.
Year 2016
Access date 09.06.2016
Abstract
Integrating a non-probability panel survey with a probability based survey using statistical matching is a promising model for leveraging the statistical benefits of a rigorous probability sample with the cost and timeliness benefits of non-probability web. Statistical matching, or data fusion, is the process of combining data from two separate sources by linking members with similar characteristics. The traditional statistical matching challenge is to join two disparate sets of variables (Y, Z) in order to create a synthetic record jointly measuring Y and Z. In a nonprobability to probability matching application, the focus may be less on joint distributions and more on weighting. The probability sample, which represents the population, provides the distribution to calibrate the nonprobability sample. Each person selected in the probability sample is assigned a statistical match from the nonprobability sample and inherits the nonprobability data from that match. The questions we explore in this presentation is—does this statistical matching approach preserve the sampling properties of the probability sampling, allowing the calculation of sampling errors and subsequently inferential statistics? Are there other forms of variability that must be accounted for in order to capture the total variance? Is the variability from the web panel a good estimate of the population variance? Our research uses data from the National Health Interview Survey, the National Alcohol Survey (dual-frame RDD) and a non-probability web survey.
Access/Direct link Conference Homepage (abstract)
Year of publication2016
Bibliographic typeConferences, workshops, tutorials, presentations
Web survey bibliography (4086)
- Respondent Processing of Rating Scales and the Scale Direction Effect ; 2016; Caporaso, A.
- The Effects of Pictorial vs. Verbal Examples on Survey Responses ; 2016; Sun, H.; Bertling, J.; Almonte, D.
- Evaluating Grid Questions for 4th Graders; 2016; Maitland, A.
- Mixing Modes: Challenges (and Tradeoffs) of Adapting a Mailed Paper Survey to the Web ; 2016; Wilkinson-Flicker, S.; McPhee, C. B.; Medway, R.; Kaiser, A.; Cutts, K.
- An Examination of How Survey Mode Affect Eligibility, Response and Health Condition Reporting Rates...; 2016; Stern, M. J.; Ghandour, R.
- Investigating Measurement Error through Survey Question Placement ; 2016; Wilson, A.; Wine, J.; Janson, N.; Conzelmann, J.; Peytcheva, E.
- Instructions in Self-administered Survey Questions: Do They Improve Data Quality or Just Make the Questionnaire...; 2016; Redline, C. D.; Zukerberg, A.; Owens, C.; Ho, A.
- Usability Testing within Agile Process; 2016; Holland, T.
- Exploring Why Web Surveys Take Longer to Complete on Smartphones than PCs: Findings from a Within-subjects...; 2016; Antoun, C.; Cernat, A.
- Making Mobile Web Surveys Accessible; 2016; Malakhoff, L.
- Association of Eye Tracking with Other Usability Metrics ; 2016; Olmsted, E. L.
- Cognitive Probing Methods in Usability Testing – Pros and Cons; 2016; Nichols, E. M.
- Grids and Online Surveys: Do More Complex Grids Induce Survey Satisficing? Evidence from the Gallup...; 2016; Wang, Me.; McCutcheon, A. L.
- 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...
- Calculating Standard Errors for Nonprobability Samples when Matching to Probability Samples ; 2016; Lee, Ad.; ZuWallack, R. S.
- Communicating Data Use and Privacy: In-person versus Web based methods for message testing ; 2016; Clark Fobia, A.; Hunter Childs, J. E.
- User Experience and Eye-tracking: Results to Optimize Completion of a Web Survey and Website Design ; 2016; Walton, L.; Ricci, K.; Libman Barry, A.; Eiginger, C.; Christian, L. M.
- Estimated-control Calibrated Estimates from Nonprobability Surveys; 2016; Dever, J. A.
- Decomposing Selection Effects in Non-probability Samples ; 2016; Mercer, A. W.; Keeter, S.; Kreuter, F.
- The Effect of Emphasizing the Web Option in a Mixed-mode Establishment Survey ; 2016; O'Brien, J.; Rajapaksa, S.; Schafer, B.; Langetieg, P.
- A Multi-phase Exploration Into Web-based Panel Respondents: Assessing Differences in Recruitment, Respondents...; 2016; Redlawsk, D.; Rogers, K.; Borie-Holtz, D.
- Effect of Clarifying Instructions on Response to Numerical Open-ended Questions in Self-administered...; 2016; Kumar Chaudhary, A.; Israel, G. D.
- Exploring the Feasibility of Using Facebook for Surveying Special Interest Populations ; 2016; Lee, C.; Jang, S.
- National Estimates of Sexual Minority Women Alcohol Use through Web Based Respondent Driven Sampling...; 2016; Farrell Middleton, D.; Iachan, R.; Freedner-Maguire, N.; Trocki, K.; Evans, C.
- Bringing Fair Market Rent Surveys into the 21st Century – Evaluating the Effectiveness of MSG...; 2016; Dayton, J.; Brassell, T.; Cooper, V.; Dion, R.; Williams, R.
- Measuring Survey Behavior of Smartphone Users; 2016; Luks, S.; Phillips, R.
- Practical Considerations for Using Vignettes to Evaluate Survey Items ; 2016; Steiger, D. M.; Williams, Do.; Edwards, W. S.; Cantor, D.; Truman, J.
- Using Web Panels to Quantify the Qualitative: The National Center for Health Statistics Research and...; 2016; Scanlon, P. J.
- Impact of Field Period Length in the Estimates of Sexual Victimization in a Web-based Survey of College...; 2016; Berzofsky, M.; Peterson, K.; Shook-Sa, B. E.; Lindquist, C.; Krebs, C.
- Longitudinal Online Ego-centric Social Network Data Collection with EgoWeb 2.0 ; 2016; Amin, A.; Kennedy, D.
- Influences on Item Response Times in a Multinational Web Survey ; 2016; Phillips, B. T.; Kolenikov, S.; Howard Ecklund, E.; Ackermann, A.; Brulia, A.
- QR Codes for Survey Access: Is It Worth It?; 2016; Allen, L.; Marlar, J.
- An Exploration of the Relationship between Usability Testing and Data Verification ; 2016; Langer Tesfaye, C.; Kurmlavage, V.
- Beyond the Survey: Improving Data Insights and User Experience with Mobile Devices ; 2016; Graham, P.; Lew, G.
- User Experience Considerations for Contextual Product Surveys on Smartphones ; 2016; Sedley, A.; Mueller, H.
- The Differential Effect of Mobile-friendly Surveys on Data Quality; 2016; Horwitz, R.
- Embedding Survey Questions within Non-research Mobile Apps: A Method for Collecting High-quality Data...; 2016; Bapna, V.; Antoun, C.
- Does Changing Monetary Incentive Schemes in Panel Studies Affect Cooperation? A Quasi-experiment on...; 2016; Schaurer, I.; Bosnjak, M.
- Survey Mode and Mail Method: A Practical Experiment in Survey Fielding for a Multi-round Survey ; 2016; Sullivan, B. D.; Duda, N.; Bogen, K.; Clusen, N. A.; Wakar, B.; Zhou, H.
- Web Probing for Question Evaluation: The Effects of Probe Placement ; 2016; Fowler, S.; Willis, G. B.; Moser, R. P.; Townsend, R. L. M.; Maitland, A.; Sun, H.; Berrigan, D.
- Early-bird Incentives: Results From an Experiment to Determine Response Rate and Cost Effects ; 2016; De Santis, J.; Callahan, R.; Marsh, S.; Perez-Johnson, I.
- Using Cash Incentives to Help Recruitment in a Probability Based Web Panel: The Effects on Sign Up Rates...; 2016; Krieger, U.
- Assessing Changes in Coverage Bias of Web Surveys a s Internet Access Increases in the United States...; 2016; Sterrett, D.; Malato, D.; Benz, J.; Tompson, T.; English, N.
- Timing is Everything: Discretely Discouraging Mobile Survey Response through the Timing of Email Contacts...; 2016; Richards, A.; C.; Shook-Sa, B. E.; C.; Berzofsky, M.; Smith, A. C.
- Dynamic Instructions in Check-All-That-Apply Questions ; 2016; Kunz, T.; Fuchs, M.
- Patterns of Unit and Item Nonresponse in a Multinational Web Survey ; 2016; Ackermann, A.; Howard Ecklund, E.; Phillips, B. T.; Brulia, A.
- Debunking Myths About the Quality of Industry and O ccupation Data Collected Through Self-administered...; 2016; Hurwitz, F. I.; Stein, J.; Skaff, A. L.
- Desktops, Tablets and Phones, Oh My! Device Prefere nce for Web Based Surveys ; 2016; Schy, S.; Ghirardelli, A.; Morrison, H.
- Assessing Potential Bias in Respondent-driven Incident Based Data from a Web Survey of College Students...; 2016; Peterson, K.; Berzofsky, M.; Shook-Sa, B. E.; Krebs, C.; Lindquist, C.
- Making Connections on the Internet: Online Survey Panel Communications ; 2016; Libman Barry, A.; Eiginger, C.; Walton, L.; Ricci, K.