Web Survey Bibliography
Researchers sometimes place images in Web surveys to motivate participation or to illustrate the meaning of a question, but studies indicate that presenting an image affects responses (e.g., Couper et al. 2007; Couper et al. 2004). To date, this research has investigated changes in responses based on the type of image presented; for example, how presenting an image of grocery shopping versus clothing shopping changes reports of shopping frequency (Couper et al. 2004). Our study extends this research by examining how quantity depicted in images affects respondent reports. Respondents will be randomly assigned to receive one of two Web surveys. One version will present pictures of one cigarette and one alcoholic beverage as illustrations for smoking and drinking behavior questions. The other version will present images with multiple cigarettes and glasses of alcoholic beverages for the same questions. We hypothesize that the respondents in the single cigarette and alcoholic beverage image condition will report consuming fewer cigarettes and alcoholic beverages compared to respondents in the condition in which many cigarettes and alcoholic beverages are depicted. Moreover, we hypothesize that the quantity depicted in the images will affect how respondents consider themselves as heavy versus light smokers and drinkers. Respondents may compare themselves to the quantity presented in the image to judge whether they smoke and drink heavily. In addition to analyzing differences in respondent reports, we will use eye-tracking data to analyze the time respondents spend looking at the image and the frequency with which they look between the images and the questions and response options to try to further understand how images and their content affect survey responses. We will conclude with implications for the use of images in Web surveys and Web survey design in general.
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Web survey bibliography (4086)
- Detecting Satisficing In Online Surveys: What we found ; 2012; Salifu, S.
- Challenges of assessing the quality of a prerecruited probability-based panel of internet users in...; 2012; Struminskaya, B., Kaczmirek, L.
- Assessing Cross-National Equivalence of Measures of Xenophobia: Evidence from Probing in Web Surveys; 2012; Behr, D., Braun, M., Kaczmirek, L.
- Impact and the Research Excellence Framework: New challenges for universities; 2012; Grant, J.
- Impact of Fixed Choice Design on Blockmodeling Outcomes; 2012; Znidarsic, A.
- Panel Conditioning in Online Survey Panels: Problems of Increased Sophistication and Decreased Engagemeent...; 2012; Adams, A. N., Atkeson, L. R., Karp, J. A.
- Efficiency of Different Recruitment Strategies for Web Panels; 2012; Hansen, K. M., Pedersen, R. T.
- Understanding Mode Effects between Mobile Web and Mobile SMS Surveys; 2012; Poduska, B., Johnson, E. P.
- Paper-and-Pencil versus Web Administration of a Student Satisfaction Survey; 2012; Bowen, C.-C.
- Nonresponse and Online Student Evaluations of Teaching: Understanding the Influence of Salience...; 2012; Adams, M. J. D., Umbach, P. D.
- Disfluencies and Gaze Aversion in Unreliable Responses to Survey Questions; 2012; Schober, M. F., Conrad, F. G., Dijkstra, W., Ongena, Y. P.
- Use of Paradata in a Responsive Design Framework to Manage a Field Data Collection; 2012; Wagner, J., West, B. T., Kirgis, N., Lepkowski, J. M., Axinn, W., Kruger-Ndiaye, S.
- Recruiting A Probability Sample For An Online Panel: Effects Of Contact Mode, Incentives, And Information...; 2012; Scherpenzeel, A., Toepoel, V.
- Do Questions about Watching Internet Pornography Make People Watch Internet Pornography? A Comparison...; 2012; Peter, J., Valkenburg, P. M.
- “I think I know what you did last summer” Improving data quality in panel surveys; 2012; Lugtig, P. J.
- An Initial Look at Non-Response and Attrition in Understanding Society; 2012; Lynn, P., Burton, J., Kaminska, O., Knies, G., Nandi, A.
- Understanding Society Innovation Panel Wave 4: Results from Methodological Experiments; 2012; Burton, J., Budd, S., Kaminska, O., Uhrig, S. C. N., Brown, M., Calderwood, L.
- The Propensity of Older Respondents to Participate in a General Purpose Survey; 2012; Lynn, P.
- Mode-Switch Protocols: How a Seemingly Small Design Difference can affect Attrition Rates and Attrition...; 2012; Lynn, P.
- Does Giving People Their Preferred Survey Mode Actually Increase Survey Participation Rates?; 2012; Olson, K., Smyth, J. D., Wood, H.
- Adaptive web sampling in ecology; 2012; Thompson, S. K.
- Deep Data: Qualitative Approaches to E-Research in the Digital Age; 2012; Salmons, J.
- Going online with a face-to-face household panel: Initial results from an experiment on the UK Household...; 2012; Jaeckle, A., Lynn, P., Burton, J.
- Opportunities and Challenges for the Digital Researcher; 2012; Blank, G., Morey, Y.
- Measures of Data Quality Across the RDD Frames; 2012; Lavrakas, P. J.
- Reliable Online Social Network Data Collection; 2012; Abdesslem, F. B., Parris, I., Henderson, T.
- Statisticians don’t like non-probability; 2012; Murphy, J.
- Diasporas on the web: new networks, new methodologies; 2012; Crush, J., Eberhardt, C., Caesar, M., Chikanda, A., Pendleton, W., Hill, A.
- Not by the Book: Facebook as a Sampling Frame; 2012; Brickman Bhutta, C.
- Survey Quality Evaluation for Business Surveys; 2012; Biemer, P. P.
- Respondent-driven sampling; 2012; Schonlau, M., Liebau, E.
- Online Data Collection in the Agro-Food Sector; 2012; Biffignandi, S., Artaz, R.
- Collecting data electronically from enterprises – searching for the right approach; 2012; Keating, J., Portillo, S.
- Tailoring the design of e-questionnaires to the response process: About audit trails and other methods...; 2012; Morren, M., Snijkers, G.
- Predicting potential respondents' decision to participate in web surveys; 2012; Fang, J., Wen, C.
- Comparing Ranking Techniques in Web Surveys; 2012; Blasius, J.
- Design of CAWI Instruments for Social Surveys ; 2012; Blanke, K.
- Web Survey Software; 2012; Berzelak, N., Vehovar, V., Slavec, A.
- Surveying general population: What types of experiments are further needed?; 2012; Vehovar, V., Berzelak, N.
- Psychometric properties of an internet administered version of the Marlowe-Crowne Social Desirability...; 2012; Vesteinsdottir, V., Reips, U.-D., Joinson, A. N., Porsdottir, F.
- Enhancing Web Surveys With New HTML5 Input Types; 2012; Funke, F.
- Mobile Survey Participation Rates in Commercial Market Research: A Meta-Analysis; 2012; Bosnjak, M., Poggio, T., Becker, K. R., Funke, F., Wachenfeld, A., Fischer, B.
- Research design for studying online communities with web surveys; 2012; Petrovcic, A., Petric, G., Lozar Manfreda, K.
- “What a waste of time!” vs “Why not participate?” On sentiments by business...; 2012; Torres van Grinsven, V., Snijkers, G., Daas, P.
- Case study: Respondent perspective on survey response; 2012; Jarrett, C.
- Effect of different stimulus on data quality in online panels; 2012; Zagar, S., Lozar Manfreda, K.
- The German Internet Panel: First Results from the Recruitment Phases; 2012; Blom, A. G.
- Panel retention rate and data quality: experimental results drawing on Reciprocity design; 2012; Biffignandi, S., Artaz, R.
- Analysis of coverage bias for the implementation of web surveys in Spain; 2012; de Pedraza, P., Serrano, F.
- Web panels in Slovenia; 2012; Lenar, J., Vehovar, V.