Web Survey Bibliography
It wasn't too long ago that we relied on probabilistic models for collecting our data. Telephone facilities were quite adept at the pursuit of respondents. Studies with 70 percent recovery rates from duly harassed respondents were accomplished with considerable effort. Recovery rate itself was an important metric in evaluating the utility of research data. Those days are go ne. Telephone has lost its luster,but this is becoming an old story now. Most practitioners only remotely recall those halcyon days when accurately representing a population through appropriate data collection methods was our calling. As online research gained traction we held on to the high bar that a representative sample frame implied. Our claim to a representative sample frame became our weak point. Academics assailed us mercilessly that our samples were not properly grounded in theory to achieve anything that might be representative. As we recoiled off the ropes some of us called for a retreat from claims that were indefensible.Instead,we advocated that the industry pursue consistency in its research. A consistent sample has now become the substitute for a representative one. Well,not really. That dirty little "r" word continues to haunt us. Consistency would seem easy to measure.If your data remains constant then you are consistent. But what if the world is changing? Should our data remain constant? Clients need to know if the change that they see in data is real or the artifact of changes in the sample frame. If the sample frame changes without warning, then there can be little assurance that the shifts we see are real. To confound things, there ha s bee n a considerable amount of data that has demonstrated differences between panel sources. There is much for us to fear as panels change their sourcing,merge with one another, change incenting models and go from high to low usage periods. With all these drivers of variability, why should we expect online panels to be capable of consistency in the data that they collect? In fact,convenience sampling is a prescription for instability,a warning that things might change. The maintenance of a stable sample frame requires effort. We ask ourselves, are online panels capable of sustaining consistency? After all,they seem to be standing on shifting sands.
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Web survey bibliography (4086)
- Approaches to empiric ablation of slow pathway: results from the Canadian EP web survey; 2012; Laish-Farkash, A., Shurrab, M., Tiong, I., Verma, A., Amit, G., Kiss, A., Morriello, F., Singh, S.,...
- Statistical Disclosure Control; 2012; Hundepool, A., Domingo-Ferrer, J., Franconi, L., Giessing, S., Schulte Nordholt, E., Spicer, K., de...
- Methodology of the RAND Continuous 2012 Presidential Election Poll ; 2012; Kapteyn, A., Meijer, E., Weerman, B.
- How and when social media storms impact brands; 2012; Morris, A., Perry, H.
- (Online) Access Panels: Types and Quality Standards; 2012; Bosnjak, M.
- Biting the Hand and Bending the Rules: An IJMR Presentation; 2012; Pettit, A.
- Passive measurement of online data in Practice - A White Paper Wakoopa; 2012
- Using response probabilities for assessing representativity; 2012; Bethlehem, J.
- Analysis of Web Survey Data based on Similarity of Fuzzy Clusters; 2012; Chiba, R., Sato-Ilic, M.
- Disentangling Mode-Specific Selection and Measurement Bias in Social Surveys; 2012; Buelens, B., van der Laan, J., Schouten, B., Klausch, L. T., van der Brakel, J., Burger, J.
- The efficiency and effectiveness of mixed mode versus single mode designs; 2012; Blunsdon, B.
- The National Survey of College Graduates: Developing a Web Data Collection Component; 2012; Thornton, T.
- Automated Web Testing Using Selenium; 2012; Gaston, D., Fanning, S., Daher, L.
- Mixed Mode: Phone and Web Discussion on Efficient Strategies; 2012; Gagnon, M.
- The Measurement of Consistency in Online Research; 2012; Gittelman, S. H., Trimarchi, E.
- Thinking Differently About How to Select Respondents for Surveys; 2012; Terhanian, G., Bremer, J.
- Benefits of Modular Design for Mobile and Online Surveys; 2012; Kelly, F., Johnson, A., Stevens, S.
- Emerging Techniques of Respondent Engagement: Leveraging Game and Social Mechanics for Mobile Application...; 2012; Lai, J. W., Vanno, L.
- An Introduction to Using Video for Research; 2012; Jewitt, C.
- A Machine Learning Based Topic Exploration and Categorization on Surveys; 2012
- Survey Swipe; 2012; Macer, T.
- A Framework for the Collection of Universal Client Side Paradata (UCSP); 2012; Kaczmirek, L.
- Improving ability measurement in surveys by following the principles of IRT: The Wordsum vocabulary...; 2012; Cor, K., Haertel, E., Krosnick, J. A., Malhotra, N.
- Online Surveys Aren't Just for Computers Anymore! Exploring Potential Mode Effects between Smartphone...; 2012; Buskirk, T. D., Andrus, C.
- Why do survey participants choose to report by Web, paper, or not at all? Results from an American Community...; 2012; Nichols, E. M.
- Worldwide online research spending; 2012
- Using paradata to explore item-level response times in surveys; 2012; Couper, M. P., Kreuter, F.
- Using multivariate statistics, 6th Edition; 2012; Tabachnick, B. G., Fidell, L. S.
- Unintentional mobile respondents; 2012; Peterson, G.
- Tracking preference expression (DNT); 2012
- The smartphone psychology manifesto; 2012; Miller, G.
- The practice of social research; 2012; Babbie, E. R.
- The integration of facebook into class management: an exploratory study; 2012; Chou, P. N.
- The effects of item saliency and question design on measurement error in a self-administered survey; 2012; Stern, M. J., D., Mendez, J. D.Smyth, J. D.
- The cross platform report. Q2 -2012 - US; 2012
- Smartphone ownership update: September 2012; 2012; Rainie, L.
- Selection bias of internet panel surveys: A comparison with a paper-based survey and national governmental...; 2012; Tsuboi, S., Yoshida, H., Ae, R., Kojo, T., Nakamura, Y., Kitamura, K.
- Screenwise panel: Frequently Asked Questions; 2012
- Research company spotlight - Mobile surveys; 2012
- Quality in market research. From theory to practice. 2nd Edition; 2012; Harding, D., Jackson, P.
- Participation of mobile users in traditional online studies; 2012; Jue, A.
- Online survey statistics for the mobile future. Updated with Q3 2012 data; 2012
- Ofcom technology tracker Wave 2; 2012
- Not just playing around; 2012; Ewing, T.
- Norme di qualita' Assirm (Assirm quality rules]; 2012
- NBCU enlists Google, ComScore to track multiscreen Olympics viewing; 2012; Spangler, T.
- MRS Guidelines for online reseach; 2012
- More dirty little secrets of online panel research.; 2012
- Mobile email opens report 2nd half 2011; 2012
- Metering mobile usage. Insights from global Arbitron mobile trends panel; 2012; Verkasalo, H.