Web Survey Bibliography
Although comprehension is critical to the survey response process, much about it remains unknown. Research has shown that concepts can be clarified through the use of definitions, instructions or examples, but respondents do not necessarily attend to these clarifications. This dissertation presents the results of three experiments designed to investigate where and how to present clarifying information most effectively. In the first experiment, eight study questions, modeled after questions in major federal surveys, were administered as part of a Web survey. The results suggest that clarification improves comprehension of the questions. There is some evidence from that initial experiment that respondents anticipate the end of a question and are more likely to ignore clarification that comes after the question than before it. However, there is considerable evidence to suggest that clarifications are most effective when they are incorporated into a series of questions. A second experiment was conducted in both a Web and Interactive Voice Response (IVR) survey. IVR was chosen because it controlled for the effects of interviewers. The results of this experiment suggest that readers appear no more capable of comprehending complex clarification than listeners. In both channels, instructions were least likely to be followed when they were presented after the question, more likely to be followed when they were placed before the question, and most likely to be followed when they were incorporated into a series of questions. Finally, in a third experiment, five variables were varied to examine the use of examples in survey questions. Broad categories elicited higher reports than narrow categories and frequently consumed examples elicited higher reports than infrequently consumed examples. The implication of this final study is that the choice of categories and examples require careful consideration, as this choice will influence respondents' answers, but it does not seem to matter where and how a short list of examples are presented.
University of Maryland (abstract) / (full text)
Web survey bibliography - Thesis, diplomas (29)
- A Meta-Analysis of the Effects of Incentives on Response Rate in Online Survey Studies; 2017; Mohammad Asire, A.
- Designing web surveys for the multi-device internet; 2015; de Bruijne, M.
- Rating Scales in Web Surveys: A Test of New Drag-and-Drop Rating Procedures; 2015; Kunz, T.
- Mixed-method feasibility study comparing the outpatient assessment of burn patients using a tablet device...; 2015; Mitchell, S. S.
- Facebook, Twitter, & Qr Codes: An Exploratory Trial Examining The Feasibility Of Social Media Mechanisms...; 2014; Gu, L. L.
- Open-ended questions in Web Surveys-Using visual and adaptive questionnaire design to improve narrative...; 2014; Emde, M.
- Design and Implementation of an Online Questionnaire Tool; 2014; Schaniel, R.
- User Modeling via Machine Learning and Rule-Based Reasoning to Understand and Predict Errors in Survey...; 2013; Stuart, L. C.
- Investigation of background acoustical effect on online surveys: A case study of a farmers' market...; 2013; Tang, Xi.
- Developing a New Mixed-Mode Methodology For a Provincial Park Camper Survey in British Columbia; 2013; Dyck, B. W.
- Classifying Mouse Movements and Providing Help in Web Surveys; 2013; Horwitz, R.
- Satisficing in Web Surveys: Implications for Data Quality and Strategies for Reduction; 2013; Zhang, Che.
- “I think I know what you did last summer” Improving data quality in panel surveys; 2012; Lugtig, P. J.
- Analyzing Functionalities for Online Questionnaire System (OQS); 2012; Atown, H. Y.
- Web panels in Slovenia; 2011; Lenar, J.
- Clarifying Survey Questions; 2011; Redline, C. D.
- Nonresponse and Measurement Error in Mobile Phone Surveys ; 2010; Kennedy, C.
- Internet-Based Measurement With Visual Analogue Scales: An Experimental Investigation; 2010; Funke, F.
- Social Networking Sites: Evaluating and Investigating their use in Academic Research; 2010; Redmond, F.
- E-epidemiology : Adapting epidemiological methods for the 21st century; 2009; Bexelius, C.
- Visual Design Effects on Respondents’ Behavior in Web-Surveys; 2009; Greinoecker, A.
- Improving survey response in mail and internet general public surveys using address-based sampling and...; 2009; Messer, B. L.
- Design Variations in Adaptive Web Sampling; 2008; Vincent, K. S.
- Internet-based survey design for university web sites : a case study of a Thai university ; 2007; Vate-U-Lan, P.
- On the cost-efficiency of probability sampling based mail surveys with a Web response option; 2005; Werner, P.
- Cognitive Laboratory Experiences : On Pre-testing Computerised Questionnaires; 2002; Snijkers, G.
- (Non)Response bei Web-Befragungen; 2002; Bosnjak, M.
- Web survey errors; 2001; Lozar Manfreda, K.
- A study of factors affecting responses in electronic mail surveys; 1997; Good, K. P.