Web Survey Bibliography
The use of online surveys to elicit consumer preference and estimate welfare measures such as willingness-to-pay (WTP) is growing because of the increasing coverage of internet and several advantages of web-based surveys. One potential advantage of online survey is that it is relatively easy to collect data from multiple countries to compare responses to the same questions and therefore contrast consumer attitude, preference, and WTP across countries (Auger, et al., 2010, Okechuku, 1994). However, using online surveys to collect data may result in problems such as lowering the reliability of the data for analysis, or lower data quality. For instance, with an increasing number of survey companies that recruit consumer panels using reward programs (e.g.
www.e-Rewards.com , http://us.toluna.com/ , www.panelbase.net ), the chance exists that consumers in the panels are motivated by the monetary reward rather than the motivation to express their true opinions or preferences with regard to an event, policy, program, or product. Additionally, the motivation of taking online surveys may be quite different in different countries, and therefore the data quality may differ significantly across countries. If this is the case, applying the same analysis methods to the data from multiple countries may be inefficient. Previous studies on multi-country comparison using survey data in general assume that respondents answer surveys truthfully, and that respondents in different countries have the same behavior in answering survey questions. However, most recent research indicates that some respondents may not seriously answer online survey questions, and those respondents demonstrate quite different preferences and WTP compared to the respondents who answer the survey questions seriously (Gao, et al., 2012). This implies that developing instruments to control online survey data quality is an important topic for future research. Gao et al.’s research focuses on the US consumer, and it is unknown whether the data quality problem is common across countries and whether the quality of data collected from different countries differs significantly. If respondents in some countries are more likely to give less reliable answers than respondent in other countries, resulting in poor estimates of consumer preferences, we should take additional actions to improve the estimates of consumer preference. Answers to aforementioned questions will provide insightful information to researchers who heavily rely on survey research data and those who consider conducting the cross-country comparison research with online survey data. It may fundamentally change the way of collecting online survey data by including instruments to control data quality. The objective of this article is to 1) determine whether an online data quality problem is common across countries; 2) whether a significant difference exists in data quality across countries; and 3) whether the difference, if one exists, significantly affects welfare measures such as consumer WTP, which have important implications for policy development and welfare analysis.
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Web survey bibliography (4086)
- The 2012 Confirmit Annual Market Research Software Survey; 2013; Macer, T., Wilson, S.
- A mixed-mode survey tackling against an increasing rate of nonresponse; 2013; Jokinen, M.
- Using Mixed-Mode Contacts in Client Surveys: Getting More Bang for Your Buck; 2013; Israel, G. D.
- Using Eye Tracking Data to Understand Respondent's Processing of Rating Scales; 2013; Kunz, T., Fuchs, M.
- Advancing the field of questionnaire translation - identifying problems, discussing methods, pushing...; 2013; Behr, D., Dorer, B., Van Houten, G
- European Values Study - methodological and substantive applications; 2013; Luijkx, R., Jagodzinski, W.
- The Impact of Culture and Economy on Values and Attitudes; 2013; Duelmer, H., Voicu, M.
- Educational attainment in cross-national surveys: instrument design, data collection, harmonisation...; 2013; Schneider, S.
- Mode Effects in Mixed-Mode Surveys: Prevention, Diagnostics, and Adjustment 1; 2013; de Leeuw, E. D., Dillman, D. A., Schouten, B.
- History of Technology in Research; 2013; Sahu, C.
- Comparing Web-based with Mail Survey Administration of the Consumer Assessment of Healthcare Providers...; 2013; Bergeson , S. C., Gray, J., Ehrmantraut, L. A., Hays, R. D.
- Data Collection in Sociolinguistics: Methods and Applications; 2013; Mallinson, C., Childs, B., Van Herk, G.
- Effect of survey mode on response patterns: comparison of face-to-face and self-administered modes in...; 2013; Illemann Christensen, A., Ekholm, O., Gluemer, C., Juel, K.
- Online Survey Data Quality and its Implication for Willingness-to-Pay: A Cross-Country Comparison; 2013; Gao, Z., House, L., Jing, X.
- The Online Statistical Survey As An Alternative To Traditional Methods; 2013; Dinu, S., Nitoiu, M., Pomazan, C.
- Self-Rated Health Assessed by Web Versus Mail Modes in a Mixed Mode Survey: The Digital Divide Effect...; 2013; Shim, J.-M., Shin, E., Johnson, T. P.
- Online Survey Design and Development: A Janus-Faced Approach; 2013; Lauer, C., McLeod, M., Blythe, S.
- Survey Sidekick: Learning & designing scientifically sound surveys; 2013; Hsiao, I.-H., Malhotra, M., Joo, J., Chae, H. S., Natriello, G.
- Satisficing in Web Surveys: Implications for Data Quality and Strategies for Reduction; 2013; Zhang, Che.
- A probability-based web panel for UK policy research: some initial thoughts from a Government survey...; 2013; Littlechild, J.
- Scientific impact of the MESS Project: A brief overview; 2013; Das, M.
- A probability-based web panel for the UK: What could it look like?; 2013; Nicolaas, G.
- Current UK provision of web panaels and Omnibus; 2013; Lagorio, C.
- Feasibility of Using Web to Survey at a Sample of Addresses: a UK ESS experiment; 2013; Villar, A.
- What works? Getting the General Population To Go Online in a Mixed Mode Local Health Survey; 2013; Frigault, L.-R., Azzou, S. A. K., Molloy, E. J. K., Ammarguellat, F., Couture, M., Gratton, J.
- ONS Plans for Web Data Collection in LFS; 2013; Lound, C.
- On-line questionnaire completion time and personality test scores; 2013; Furnham, A., Hyde, G., Trickey, G.
- ESSnet Data: Collection for Social Surveys using Multiple Modes; 2013; Sattelberger, S., Blanke, K.
- Using Technology to Conduct Questionnaire Evaluations with Hard to Reach Populations ; 2013; Ridolfo, H., Ott, K.
- Recent Experiences with Electronic Questionnaire Testing at Statistics Canada ; 2013; Lawrence, D.
- Usability and Accessibility Guidelines for Web Sites and Web Surveys ; 2013; Ashenfelter, K. T.
- Questionnaire development & testing in the 21st century: What are the challenges?; 2013; Collins, D.
- Improved Dialogue Features in Web Surveys?; 2013; Lund, K.
- Evaluation of a Sequential Mixed-Mode Design Experiment with Physicians on Response Rates, Costs, and...; 2013; Geisen, E., Olmsted, M. G., Murphy, J., Stanley, M.
- When We Do Not Know the Difference – the Level of DK in Different Question Formats and Different...; 2013; Schwarzer, S., Zeglovits, E., Connor, D. S.
- Factors Influencing Survey Participation Rates on an Online, Probability-Based Research Panel; 2013; Wiest, D.
- Effects of Self-Awareness on Disclosure During Skype Survey Interviews; 2013; Feuer, S., Schober, M. F.
- The Effect of Differential Mailing Methodologies on Response Rates: Testing Advanced Notices, Pre-Recorded...; 2013; Pens, Y., Cantave, M. A., Gentry, R. J.
- The Influence of Respondent Incentives on Item Nonresponse and Measurement Error in a Web Survey; 2013; Felderer, B., Kreuter, F., Winter, J.
- A Multi-Survey, Multi-Methodological Assessment of Perception of Need and Quality of Life: Opinion Polling...; 2013; Levy, D.,
- Eliminate Item Non-Response: The Effect of Forcing Respondents to Answer in Web Surveys; 2013; Leach, L. M.
- The Influence of Answer Box Format, Personal Topic Interest, and Respondent Characteristics on Response...; 2013; Keusch, F.
- Using Motivating Prompts to Increase Responses to Open-ended Questions in Mixed-mode Surveys: Where...; 2013; Israel, G. D.
- How Open Are We to the Open-Ended Questions?; 2013; Mamedova, S.
- Will Snowball Sampling Leave Your Data in the Cold?; 2013; Cavallaro, K.
- Panel Attrition: Separating Stayers, Sleepers and Other Types of Drop-Out in an Internet Panel; 2013; Lugtig, P. J.
- Building a History: Collecting Comprehensive Employment Data in a Web-Based, Multi-Mode Survey; 2013; Cominole, M., Bennett, C., Caves, L.
- Augmenting Paper Diaries With Phone and Web Data Retrieval: Is it Effective?; 2013; Wargelin, L., Minser, J., Homer, Z., Fleeman, A., ZuWallack, R. S.
- Alone in a Group: Comparison of Effects of a Group-Administered Paper-Pencil Survey Versus an Individually...; 2013; Higgins, W. B., Barlas, F. M., Pflieger, J., Thomas, R. K., Jeffery, D., Mattiko, M.
- The Effect of Survey Mode on Socially Undesirable Responses to Open Ended Questions: Online vs. Paper...; 2013; Hedberg, E., Ceasar, G., Wallace, D.