Web Survey Bibliography
Some researchers worry that when reporting the frequency with which they have performed a category of events (e.g., “gone shopping”), survey respondents may fail to take into account all events in the category. One remedial strategy that some researchers have recommended is for a survey question to offer examples of events that might commonly be overlooked by respondents (Groves, et al., 2004). In our research, we examined the effects of offering two different types of examples that survey developers could use to help respondents recall commonly overlooked events when generating frequency estimates.
A total of N=1124 U.S. consumers completed an online survey in which they answered a general question about their average number of weekly shopping trips during the previous six months, and later in the survey reported their average weekly shopping trips to 15 different specific store types. Some respondents answered a No Examples version of the general question which read, “During the last 6 months, how many times per week, on average, did you visit a store to go shopping?” Other respondents answered an Object Examples version (defined as references to people, places, or things related to a target category of events) in which specific store types were added to the question as examples. The last group of respondents answered a Behavior Examples version (defined as references to activities related to a target category) in which the phrase “…to go shopping” was expanded to include other shopping-related behaviors. In each condition, respondents entered a numerical value into an open-ended response option box that accepted a maximum of two digits.
Our results indicate that questions offering either Object Examples or Behavior Examples generate larger frequency estimates than questions with No Examples . However, the effects of Object Examples on frequency estimates appear to be driven by enhanced recall of only the listed objects. In contrast, Behavior Examples appear to influence frequency estimates by enhancing recall of a wider array of events. This suggests that giving respondents examples of target behaviors, rather than locations where those behaviors might have occurred, yields more accurate reports of frequencies.
General online research (GOR) 2008 (abstract)
Web survey bibliography (4086)
- Using global online panels; 2008; Pearson, C., Smith, E., Ridlen, R., Zhang, H., Cooper, A
- The quest for on-line quality research; 2008; Rhall, T., Fine, B.
- Visual Design Effects on on Respondents Behaviour in Web-Surveys. A Design Experiment; 2008; Greinoecker, A.
- Effects of Privacy Assurances on the Online Measurement of Psychological Constructs; 2008; Witzki, A., Kramer, J.
- How Web 2.0 Technologies Can Become a Valuable Part of Online Research; 2008; Jaron, R.
- Respondent Authenticity - A biometrical approach to authenticate panelists; 2008; Wachter, B., Bender, C.
- Not Mixed-Mode but Switch-Mode; 2008; Höglinger, M., Abraham, M., Arpagaus, J.
- The Impact of Cognitive and Computer Skills on Data Quality in Computer Assisted Self Administered Questionnaires...; 2008; Brecko, B. N., Vehovar, V.
- Optimal Contact Strategy in a Mail-and-Web Mixed Mode Survey; 2008; Holmberg, A., Lorenc, B., Werner, P.
- 10 Years of Meinungsplatz.de: Success in the Collection of Data for Targeted Audiences, Such as the...; 2008; Weyergraf, O.
- Self-selection in Online Access Panels: No “Little Difference” in the Recruiting Process...; 2008; Wirth, T.
- Mobile Market Research; 2008; Maxl, E.
- Online vs. Offline in Mobile Surveys; 2008; Neubarth, W., Maier, U.
- Gender-of-Interviewer Effects in Video-Enhanced Web Surveys. Results from a Randomized Field-Experiment...; 2008; Fuchs, M.
- The Online Use of Randomized Response Measurements; 2008; Snijders, C., Weesie, J.
- The Influence of Human Cues on Drop-out and Answer Behaviour within Web Surveys; 2008; Oesterlau, T., Geißler, H.
- “For Example…,” How Different Example Types in Online Surveys Influence Frequency...; 2008; Berent, M., Krosnick, J. A.
- How Too Little Can Give You a Little Too Much: Determining the Number of Household Phone Lines in RDD...; 2008; Merkle, D., Langer, G.
- Learning and fatigue during choice experiments: a comparison of online and mail survey modes; 2008; Savage, S. J., Waldman, D. M.
- Avoiding Massive Automated Voting in Internet Polls ; 2008; Basso, A., Miraglia, M.
- Internet surveys; 2008; Vehovar, V., Lozar Manfreda, K., Koren, G.
- Reasons for nonresponse in a web-based survey of alcohol involvement among first-year college students...; 2008; Cranford, J. A., McCabe, S. E., Boyd, C. J., Slayden, J., Reed, M. B., Lange, J. E., Scott, M. S.
- The influence of mobile telephones on telephone surveys; 2008; Kuusela, V., Callegaro, M., Vehovar, V.
- Telephone and Web: Mixed-Mode Challenge ; 2008; Greene, J., Speizer, H., Wiitala, W.
- Fast times and easy questions: the effects of age, experience and question complexity on web survey...; 2008; Yan, T., Tourangeau, R.
- Mixed Methods Sampling; A Typology With Examples; 2007; Teddie, C.; Yu, F.
- Web Application Stress Testing and Blaise IS; 2007; O'Reilly, J. M.
- Analyses of Web Survey Data; 2007; Kuusela, V.
- Cognitive aspects of survey methodology; 2007; Schwarz, N.
- Panel Quality: Tips to Achieve Pure Sample, from Recruitment to Long-Term Engagement; 2007; Fitzgerald, D.
- Non-Response in the Panel Study of Belgian Households (1992-2002): An Output and Process Evaluation; 2007; De Keulenaer, F.
- Sensitive questions in surveys; 2007; Tourangeau, R., Yan, T.
- Webmasters, web policies, and academic libraries: a survey; 2007; Hendricks, A.
- Toward a Definition of Mixed Methods Research; 2007; Johnson, R. B., Onwuegbuzie, A. J., Turner, L. A.
- Sample bias, weights and efficiency of weights in a continuous web voluntary survey; 2007; de Pedraza, P., Tijdens, K., de Bustillo, R.
- What is Sexual Harassment? It Depends on Who Asks! Framing Effects on Survey Responses; 2007; Galesic, M., Tourangeau, R.
- Mixing modes of data collection in surveys: A methodological review; 2007; Roberts, C.
- Differences between respondents and nonrespondents in an Internet survey recruited from face-to-face...; 2007; Bandilla, W., Blohm, M., Kaczmirek, L. & Neubarth, W.
- XSight and the shaping of Marketing Analytics; 2007; Birks, D. F.
- Whither statistical metadata?; 2007; Westlake, A.
- Web survey design; 2007; Ma, Q., McCord, M.
- Web survey and representativeness: Close to three in ten Canadians do not have access to the Internet...; 2007; Bourque, C., Lafrance, S.
- Video mediated communication: Implications for surveys; 2007; Anderson, A. H.
- Utopia - a complete research management system; 2007; Brandwood, T.
- Triple-S: The broader horizon; 2007; Wright, Ge.
- The use of seasonal adjustment software within the Office for National Statistics; 2007; Hussain, F., McLaren, C. H., Stuttard, N.
- The Internet audience. Constitution & measurement; 2007; Bermejo, F.
- The influence of advance letters on response in telephone surveys; 2007; de Leeuw, E. D., Callegaro, M., Hox, J., Korendijk, E., Lensvelt-Mulders, G. J.
- The impact of cookie deletion on the accuracy of site-server and ad-server metrics: An empirical comScore...; 2007; Abraham, Ma., Meierhoefer, C., Lipsman, A.
- The challenge of geocoding large-scale travel surveys; 2007; J.Smith, A. J.