Web Survey Bibliography
According to numbers from Statistics Netherlands, already 50% of Dutch people in the age of 12-72 years old use mobile devices to access the Internet. This number will probably increase in a rapid pace in the next couple of years. The literature on web surveys, mode effects and visual design is still in progress, but researchers need to adapt their research strategy in order to investigate how the use of these new mobile devices affect total survey error. This research uses a mixed device survey. We compare two parallel surveys: one with a traditional web survey and one suitable for mobile devices where respondents could choose their preferred device. Data come from an online probability-based research panel of Market Response in the Netherlands. We investigate response rates, measurement error indicators and evaluation of the questionnaire in both groups. In addition, we take the use of QR codes, the transmission of GPS coordinates and feedback from other respondents into account. The goal of this research is to gain insight on how to design quality surveys in this new situation and if it is successful in recruiting hard-to-reach populations.
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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.