Web Survey Bibliography
Title Social Media Analyses for Social Measurement
Author Schober, M. F.; Pasek, J.; Guggenheim, L.; Lampe, C.; Conrad, F. G.
Source Public Opinion Quarterly (POQ), 80, 1, pp. 180-211
Year 2016
Database Oxford Journals
Access date 05.02.2016
Abstract Demonstrations that analyses of social media content can align with measurement from sample surveys have raised the question of whether survey research can be supplemented or even replaced with less costly and burdensome data mining of already-existing or “found” social media content. But just how trustworthy such measurement can be—say, to replace official statistics—is unknown. Survey researchers and data scientists approach key questions from starting assumptions and analytic traditions that differ on, for example, the need for representative samples drawn from frames that fully cover the population. New conversations between these scholarly communities are needed to understand the potential points of alignment and non-alignment. Across these approaches, there are major differences in (a) how participants (survey respondents and social media posters) understand the activity they are engaged in; (b) the nature of the data produced by survey responses and social media posts, and the inferences that are legitimate given the data; and (c) practical and ethical considerations surrounding the use of the data. Estimates are likely to align to differing degrees depending on the research topic and the populations under consideration, the particular features of the surveys and social media sites involved, and the analytic techniques for extracting opinions and experiences from social media. Traditional population coverage may not be required for social media content to effectively predict social phenomena to the extent that social media content distills or summarizes broader conversations that are also measured by surveys.
Access/Direct link Oxford Journals (Abstract) / (Full text)
Year of publication2016
Bibliographic typeJournal article
Web survey bibliography - Public Opinion Quarterly (POQ) (90)
- Necessary but Insufficient: Why Measurement Invariance Tests Need Online Probing as a Complementary...; 2017; Meitinger, K.
- Nonresponse in Organizational Surveying: Attitudinal Distribution Form and Conditional Response Probabilities...; 2017; Kulas, J. T.; Robinson, D. H.; Kellar, D. Z.; Smith, J. A.
- Theory and Practice in Nonprobability Surveys: Parallels between Causal Inference and Survey Inference...; 2017; Mercer, A. W.; Kreuter, F.; Keeter, S.; Stuart, E. A.
- Is There a Future for Surveys; 2017; Miller, P. V.
- Respondent mode choice in a smartphone survey ; 2017; Conrad, F. G., Schober, M. F., Antoun, C., Yan, H. Y., Hupp, A., Johnston, M., Ehlen, P., Vickers, L...
- Effects of Mobile versus PC Web on Survey Response Quality: a Crossover Experiment in a Probability...; 2017; Antoun, C.; Couper, M. P.; G. G.Conrad, F. G.
- The Low Response Score (LRS): A Metric to Locate, Predict, and Manage Hard-to-Survey Populations; 2016; Erdman, C.; Bates, N.
- Targeted Appeals for Participation in Letters to Panel Survey Members; 2016; Lynn, P.
- Fieldwork Effort, Response Rate, and the Distribution of Survey Outcomes: A Multilevel Meta-analysis; 2016; Sturgis, P.; Williams, Jo.; Brunton-Smith, I.; Moore, J.
- Measuring Generalized Trust: An Examination of Question Wording and the Number of Scale Points; 2016; Lundmark, S.; Giljam, M.; Dahlberg, S.
- Social Media Analyses for Social Measurement; 2016; Schober, M. F.; Pasek, J.; Guggenheim, L.; Lampe, C.; Conrad, F. G.
- Do Attempts to Improve Respondent Attention Increase Social Desirability Bias?; 2015; Clifford, S.; Jerit, J.
- Response Rates, Nonresponse Bias, and Data Quality: Results from a National Survey of Senior Healthcare...; 2015; Meterko, M.; Restuccia, J. D.; Stolzmann, K.; Mohr, D.; Brennan, C. W.; Glasgow, J.; Kaboli, P.
- Respondent Screening and Revealed Preference Axioms: Testing Quarantining Methods for Enhanced Data...; 2015; Jones, M. S.; House, L. A.; Zhifeng, G.
- Exploring the Effects of Removing "Too Fast" Responses and Respondents from Web Surveys; 2015; Greszki, R.; Meyer, M.; Schoen, H.
- The Effects of the Direction of Rating Scales on Survey Responses in a Telephone Survey; 2015; Keusch, F., Yan, T.
- Assessing the Potential of Paradata and Other Auxiliary Data for Nonresponse Adjustments; 2014; Krueger, B. S., West, B. T.
- Improving Response Rates and Questionnaire Design for Mobile Web Surveys; 2014; de Bruijne, M., Wijnant, A.
- Assessing Within-Household Selection Methods in Household Mail Surveys; 2014; Olson, K., Stange, M., Smyth, J. D.
- Mobile Technologies for Conducting, Augmenting and Potentially Replacing Surveys: Report of the AAPOR...; 2014; Link, M. W., Murphy, J., Schober, M. F., Buskirk, T. D., Childs, J. H., Tesfaye, C.
- Clicking vs. Dragging: Different Uses of the Mouse and Their Implications for Online Surveys; 2014; Sikkel, D., Steenbergen, R., Gras, S.
- The Effect of Benefit Wording on Consent to Link Survey and Administrative Records in a Web Survey; 2014; Sakshaug, J. W., Kreuter, F.
- Video Content in Web Surveys: Effects on Selection Bias and Validity; 2013; Shapiro-Luft, D., Cappella, J.
- Panel Conditioning in Difficult Attitudinal Questions; 2013; Binswanger, J., Schunk, D., Toepoel, V.
- Clarifying Categorical Concepts in a Web Survey.; 2013; Redline, C. D.
- Recruiting A Probability Sample For An Online Panel: Effects Of Contact Mode, Incentives, And Information...; 2012; Scherpenzeel, A., Toepoel, V.
- Does Giving People Their Preferred Survey Mode Actually Increase Survey Participation Rates?; 2012; Olson, K., Smyth, J. D., Wood, H.
- The changing role of address-based sampling in survey research; 2011; Iannacchione, V. G.
- 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.
- Questions for Surveys: Current Trends and Future Directions; 2011; Schaeffer, N. C., Schaeffer, N. C.
- The Future of Modes of Data Collection; 2011; Couper, M. P.
- The Future of Survey Sampling; 2011; Brick, J. M.
- The Impact of “Forgiving” Introductions on the Reporting of Sensitive Behavior in Surveys...; 2011; Peter, J., Valkenburg, P. M.
- Surveying the General Public over the Internet Using Address-Based Sampling and Mail Contact Procedures...; 2011; Messer, B. L., Dillman, D. A.
- Use of Cognitive Shortcuts in Landline and Cell Phone Surveys; 2011; Everett, S. E., Kennedy, C.
- An Alternative to the Response Rate for Measuring a Survey's Realization of the Target Population; 2011; Skalland, B.
- Can Verbal Instructions Counteract Visual Context Effects in Web Surveys?; 2011; Toepoel, V., Couper, M. P.
- Nonresponse Error, Measurement Error, And Mode Of Data Collection: Tradeoffs in a Multi-mode Survey...; 2011; Sakshaug, J. W., Yan, T., Tourangeau, R.
- A Method for Evaluating Mode Effects in Mixed-mode Surveys; 2011; Vannieuwenhuyze, J., Loosveldt, G., Molenberghs, G.
- Total Survey Error: past, present, and future; 2010; Groves, R. M., Lyberg, L. E.
- 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.
- Cell-Phone-Only Voters in the 2008 Exit Poll and Implications for Future Noncoverage Bias ; 2009; Mokrzycki, M., Keeter, S., Kennedy, C.
- Zero Banks: Coverage Error and Bias in Rdd Samples Based on Hundred Banks with Listed Numbers ; 2009; Boyle, J., Bucuvalas, M., Piekarski, L., Weiss, A.
- National Surveys Via RDD Telephone Interviewing vs. the Internet: Comparing Sample Representativeness...; 2009; Chang, L. C., Krosnick, J. A.
- Impact of T-ACASI on Survey Measurements of Subjective Phenomena ; 2009; Harmon, T., Rogers, S. M., Eggleston, E., Roman, A. M., Villarroel, M. A., Chromy, J. R., Ganapathi,...
- Open-Ended Questions in Web Surveys: Can Increasing the Size of Answer Boxes and Providing Extra Verbal...; 2009; Smyth, J. D., Dillman, D. A., Christian, L. M., McBride, M.
- Web Survey Methods: Introduction; 2009; Couper, M. P., Miller, P. V.
- Social desirability bias in CATI, IVR and Web surveys: The effects of mode and question sensitivity; 2008; Kreuter, F., Presser, S., Tourangeau, R.
- Does a Probability-Based Household Panel Benefit from Assignment to Postal Response as an Alternative...; 2008; Rookey, B. D., Hanway, S., Dillman, D. A.