Web Survey Bibliography
One major reason for the recent and rapid proliferation of Web surveys is the apparent ease with which they can be conducted. Almost anyone with a computer and an Internet connection can design and conduct a Web survey at a fraction of the cost of other modes, even mail. One unfortunate consequence of this dramatic increase in survey quantity has been an equally dramatic deterioration in survey quality. Some of this is due to lack of training in survey methods for a new generation of survey practitioners, but equally problematic has been the lack of agreed-upon standards and methods for Web-based data collection within the survey profession.
Fortunately, help is on the way. As the research record builds, we can now identify several best practices emerging in Web survey design, implementation, and execution that help to reduce survey error and establish Web surveys as a legitimate, mature mode for rigorous survey data collection.
This course will provide a basic understanding of current issues and best practices in Web survey design and implementation. The first part will focus on the “mechanics” of Web surveys and includes topics such as software selection and use, survey testing and quality assurance, and sample acquisition and contact methods. The second part will discuss screen design and question presentation by covering several important topics such as survey navigation, presentation of standard question types, use of color, and impact of images. Much of the course is based on the emerging literature in Web survey methods and includes a special emphasis on findings from a series of experiments on visual and interactive features of Web surveys conducted by the instructor with colleagues from the University of Michigan. The course is not a programming course: anyone who conducts (or anticipates conducting) Web surveys will find it useful.
THE INSTRUCTOR: Reg Baker is Chief Operating Office for Market Strategies, Inc. (MSI), a full-service survey research company that conducts research in the government, healthcare, public policy, energy, financial services, and information technology sectors. With more than two decades of experience in all phases of survey research, he has been especially active in the application of new technologies to surveys. He has authored numerous articles and papers on such subjects as the impacts of new data collection technologies on data quality, CATI system design, interviewer training for CAPI, and likely future developments in computer-assisted information collection. His current research focus is Internet applications for survey data collection and dissemination. He has been doing research on the Web since 1997. Prior to joining Market Strategies in 1995, he was Vice President for Research Operations at NORC.
Web Survey Bibliography - Standards, codes (445)
- Forum - Research 2.0: engage or give up the ghost?; 2009; Oxley, M., Light, B.
- Summaries of Address-Based Sampling Presentations at the AAPOR Annual Meeting; 2009; W., Daily, G., Shuttles, D. C., Yancey, L. T., Thu Burks, A., Bourquin, C.Link, M. W.
- Effects of Questionnaire Length on Participation and Indicators of Response Quality in a Web Survey; 2009; Galesic, M., Bosnjak, M.
- Questionnaire Survey Nonresponse: A Comparison of Postal Mail and Internet Surveys ; 2009; Hoonakker, P., Carayon, P.
- 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.
- Using Internet survey paradata to optimize survey questionnaire design; 2009; Heerwegh, D.
- Nonresponse in the Recruitment of an Internet Panel Based on Probability Sampling; 2009; Hoogendoorn, A., Daalmans, J.
- Internet research differs from research on internet users: some methodological insights into online...; 2009; Lohmann, M., Schmucker, D. J.
- Improving survey response in mail and internet general public surveys using address-based sampling and...; 2009; Messer, B. L.
- Are Mode Preferences Real?; 2009; Millar, M. M., O'Neill, A. C., Dillman, D. A.
- The Internet as a research site: establishment of a web-based longitudinal study of the nursing and...; 2009; Huntington, A., Gilmour, J., Schluter, P., Tuckett, A., Bogossian, F., Turner, C.
- Mobile Phone Interviewing - Why being engaged is a good thing!; 2009; Johnson, A. J., Martin, P.
- Mobility, Flexibility and Identity - How the use of mobile questionnaires improves the data quality...; 2009; Hellwig, O., Wirth, T.
- Anytime, Anywhere Mobile Interviewing: Comparing Mobile Voice and Web Response Patterns; 2009; Petit, F. C.
- Using mobile phones to measure TV-broadcast quality; 2009; Wieland, J. L., Puggaard, B.
- Life360: Use of Mobile Technology for Electronic Ethnographic Studies; 2009; W., Lai, J. W., Vanno, L., Makowska, H., Benezra, K., Green, M.Link, M. W.
- Ethical suicide research: A survey of researchers ; 2009; Lakeman, R., Fitzgerald, M.
- Mobile phone surveys in mixed mode environment; 2009; Vehovar, V.
- Survey Methodology (Wiley Series in Survey Methodology); 2009; Groves, R. M., Fowler, F. J., Couper, M. P., Lepkowski, J. M., Singer, E., Tourangeau, R.
- Introducing Visual Methods ; 2008; Prosser, J., Loxley, A.
- Providing Real-Time Incentives for Anonymous Web Surveys; 2008; Heinrich, T.
- Technology and the Survey Interview and Questionnaire; 2008; Couper, M. P.
- Quality Criteria for Quantitative, Qualitative and Mixed Methods Research: A View from Social Policy...; 2008; Bryman, A., Becker, S., Sempik, J.
- Encyclopedia of Survey Research Methods; 2008; Lavrakas, P. J.
- Internet, Mail, and Mixed-Mode Surveys: The Tailored Design Method ; 2008; Dillman, D. A., Christian, L. M., Smyth, J. D.
- The Methodological Issues Associated With Internet-Based Research; 2008; Beddows, E.
- Experiments in Mobile Web Survey Design; 2008; Peytchev, A., Hill, C.
- A multimedia-based and time-sensitive interactive web survey for road user opinion on traffic condition...; 2008; Posawang, P., Phosaard, S., Polnigongit, W., Pattara-Atikom, W.
- CAQDAS, Secondary Analysis and the Coding of Survey Data; 2008; Fielding, N.
- Machines that Learn how to Code Open-Ended Survey Data: Underlying Principles, Experimental Data, and...; 2008; Sebastiani, F.
- Computer coding of 1992 ANES Like/Dislike and MIP responses; 2008; Fan, D. P.
- CATA (Computer Aided Text Analysis) Options for the Coding of Open-Ended Survey Data; 2008; Skalski, P.
- Classifying Open Occupation Descriptions in the Current Population Survey; 2008; Conrad, F. G., Couper, M. P.
- Coding Responses Generated by Open-Ended Questions: Meaning Matching or Meaning Inference?; 2008; Potter, J.
- Open-ended questions and text analysis; 2008; Popping, R.
- Coding Verbal Data - What to Optimize?; 2008; Krippendorff, K.
- Practical advice for conducting ethical online experiments and questionnaires for United States psychologists...; 2008; Barchard K. A., Williams, J.
- Research Instruments: Driving e-Science? ; 2008; Schroeder, R.
- The US Institutional Review Board and Online Research Ethics; 2008; Markham, A., Buchanan, E. A., Ess, C.
- What Can We Achieve With 5 Euros? Optimization of Survey Data Quality Using Mixed-Mode Approaches; 2008; Berzelak, N., Vehovar, V., Lozar Manfreda, K.
- Measuring Non-Response Cross Nationally; 2008; Blom, A. G.
- Testing the Effects of Multiple Manipulations on Print and Online Survey Response Rates: Lessons Learned...; 2008; Bachman, M., Vaccaro, D.
- Validating Check-All and Forced-Choice Question in a Paper Survey of Provincial Park Campground Users...; 2008; Dyck, B., Moore, D.
- Rate of Response in Web-Based Data Collection as a Factor of Author of E-mail Invitation; 2008; Mitra, A.
- Graduate vs. Undergraduate Student Respondent Behavior Differences in Web Surveys; 2008; Showen, S., Eisenberg, D., Roe, D. J.
- Mode Effects and Non-Response Bias in an Undergraduate Student Satisfaction Survey: Results from a Randomized...; 2008; Beach, S., Musa, D., Beeson, P., Sparks, C.
- Worth the Weight?: The Benefits and Pitfalls in Applying Survey Weights to Web Surveys of College Undergraduates...; 2008; Bloom, J. D.
- Improving the Efficiency of Web Survey Experiments; 2008; Luks, S., Rivers, D.
- Computing Metrics for Online Panels; 2008; Callegaro, M., DiSogra, C.
- 2006 Canadian Census Internet Mode Effect Study; 2008; Grondin, C., Sun, L.,