Web Survey Bibliography
Relevance & Research Question: Survey researchers have been forced—by time and budget constraints—to rely on a slew of sampling methods to estimate population parameters. To be valid, sampling procedures must a) have nearly 100% population coverage b) ensure equal chance of selection, and c) feature reasonable response rates. Convenience samples have long been considered inadequate for serious research but collecting opinions from probability samples now takes longer than conveniently interviewing millions of people.
Increasingly, RDD telephone sampling now features response rates below 20%. Moreover, the decrease in landline telephony and the corresponding rise in mobile have put pressure on the claim of near total coverage. Though all online interviewing relies on convenience sampling, it is arguable that people only answer their phones to take surveys (that are a part of RDD studies) when it is convenient for them—a group that continues to shrink.
Methods & Data: This paper investigates whether volume-based approaches to collecting opinions are reasonable substitutes for probability sampling. To do so, we exposed Gallup’s long-used, well documented, United States Presidential approval rating question to a random subset of people who recently completed a survey for one of SurveyMonkey’s seven million survey creators. We presented the question to roughly 10,000 survey takers per day from June 10, 2010 to July 29, 2010. In total, 87, 308 people answered the question.
Results: The results track Gallup’s daily approval numbers within the reported margin of error nearly each day that the test ran without mimicking Gallup’s use of statistical weighting. A closer look reveals that coverage and response rate were respectable relative to those of probability studies. Specifically, respondents were from 8,300 of 19,000 American cities (43%) which approaches the proportion of U.S. households with a landline telephone (60%). Moreover, the respondents yielded an average daily response rate of 46%--more than double that of a typical telephone survey.
Added Value: These findings shed light on recent interest by market researchers in gathering data from technology and social networking sources that have access to extremely large and diverse pools of people and can ask questions of them for virtually no cost.
Conference Homepage (abstract) / (presentation)
Web Survey Bibliography (6390)
- An Empirical Investigation of the Role of the Email Contact in Web Survey Response Rates; 2012; Hsu, H.-Y., Lai, Y.-H., Chin, H.-Y.
- Measure the response burden in the Swedish Intrastat system; 2012; Weideskog, F.
- Mode and non-response effects and their treatment; 2012; Chrysanthopoulos, S., Georgostathi, A.
- What can be said about quality in the Central Population Register based on a self-completion survey...; 2012; Falnes-Dalheim, E., Pedersen, H. E.
- Improving the quality of complex surveys: The case of the EU Labour Force Survey ; 2012; van der Valk, J.
- Pros and cons of Internet based User Satisfaction Surveys; 2012; Consoli, A., Matsulevits, L.
- The re-engineering of the Structural Earnings survey process: Mixed - Mode data collection and new E...; 2012; Cardinaleschi, S., De Santis, S., Rocci, F., Spinelli, V.
- Between demand and reality: Ensuring efficiency and quality in pretesting questionnaires; 2012; Sattelberger, S., Blanke, K.
- How to provide high data quality in online-questionnaires: Setting guidelines in design; 2012; Tries, S., Nebel, S., Blanke, K.
- Boosting Web pick-up Rates by referring to Compliance Principles ; 2012; Falnes-Dalheim, E., Haraldsen, G., Sundvoll, A.
- Choosing a Data Collection Approach: Mixed Mode Design Experiences in Statistics Finland; 2012; Taskinen, P., Kiianmaa, N.
- Ebook readings jumps, print book reading declines; 2012; Rainie, L., Duggan, M.
- Does mentioning "Some People" and "Other People" in an opinion question improve...; 2012; Yeager, D. S., Krosnick, J. A.
- Digital Divides: A connectivity continuum for the United States. Data from the 2011 Current Population...; 2012; File, T.
- Developments and the impact of smart technology; 2012; Macer, T.
- How Should Debriefing Be Undertaken in Web-Based Studies? Findings From a Randomized Controlled Trial...; 2012; McCambridge, J., Kypri, K., Wilson, A.
- Better customer in sight in real time; 2012; Macdonald, E., Wilson, H. N., Konus, H.
- Best practices in data cleaning: A complete guide to everything you need to do before and after collecting...; 2012; Osborne, J. W.
- Benchmarking for better surveys; 2012; Nallan, S.
- An experimental investigation of the effects of noncontingent and contingent incentives in recruiting...; 2012; Lavrakas, P. J., Dennis, J. M., Peugh, J., Shand-Lubbers, J., Lee, E., Peugh, J., Charlebois, O., Murakami...
- Adult gadget ownership over time (2006-2012); 2012
- Subjective Well-being Of Spanish Workers: Continuous Voluntary Web Survey Examination; 2012; de Pedraza, P., Guzi, M.
- 28 Questions to Help Buyers of Online Samples; 2012
- 2010 ACS Content Test Evaluation Report Covering Computer and Internet ; 2012; Shin, H. B.
- Specific mixed-mode methodology to reach sensory disabled people in quantitative surveys; 2012; Fontaine, S.
- Response Mode Choice and the Hard-to-Interview in the American Community Survey; 2012; Nichols, E. M., Horwitz, R., Guarino Tancreto, J.
- Recruiting in an Internet panel using respondent driven sampling; 2012; Schonlau, M.
- A Choice in Mode: A Solution for Increasing Response Rates of Hard-to-Survey Populations?; 2012; Haan, M., Ongena, Y. P.
- The Feasibility of Conducting a Web Survey Using Respondent Driven Sampling among Transgenders in the...; 2012; Kappelhof, J.
- The role of topic interest and topic salience in online panel web surveys.; 2012; Keusch, F.
- Multi-Language Multi-Continent B2B Community Panel: How B2B research can effectively span the world; 2012; Morden, M., Accomando, E.
- Can Survey Gaming Techniques Cross Continents? Examining cross cultural reactions to creative questioning...; 2012; Puleston, J.
- Facing The Future Webcams as a survey tool in China; 2012; Gordon, A., Llewellyn, T., Gu, E.
- Device Diversity: Understanding the complexity of varied devices for taking surveys – Case study...; 2012; Pearson, C., Backlund, K., Veling, L., Tsvelik, M., Jehoel, S.
- Research Goes Mobile: Findings from initial smartphone application research; 2012; Dubreuil, C., Joubert, S.
- Research in the Mobile Mindset: Exploring the unexplored in the mobile research space; 2012; Willems, A., Veris, E., Verhaeghe, A.
- Better Answers to Basic Questions: Enhancing the accuracy of online reach and audience metrics; 2012; van Dam, P. H., van Ossenbruggen, R., Voorend, R.
- Rules of engagement: The war against poorly engaged respondents - guidelines for elimination; 2012; Gittelman, S. H., Trimarchi, E.
- Reality check in the digital age: The relationship between what we ask and what people actually do; 2012; Hofmeyr, J., Louw, A.
- Website Versus Traditional Survey Comments: Do they tell the same story?; 2012; Brandt, R., House, M.
- Dimensions of Online Survey Data Quality What really matters?; 2012; Puleston, J., Eggers, M.
- WEBDATANET: web-based data-collection methodological challenges, solutions and implementations. Action...; 2012; de Pedraza, P.
- WebSM Study: Survey software features overview ; 2012; Vehovar, V.; Cehovin, G.; Kavcic, L.; Lenar, J.
- Web Panels; 2012; Bethlehem, J., Biffignandi, S.
- Use of Response Propensities; 2012; Bethlehem, J., Biffignandi, S.
- Weighting Adjustment Techniques; 2012; Bethlehem, J., Biffignandi, S.
- The Problem of Self-Selection; 2012; Bethlehem, J.,Biffignandi, S.
- The Problem of Undercoverage; 2012; Bethlehem, J., Biffignandi, S.
- Mixed-Mode Surveys; 2012; Bethlehem, J., Biffignandi, S.
- Designing a Web Survey Questionnaire; 2012; Bethlehem, J., Biffignandi, S.