Web Survey Bibliography
Park and resource management agencies are looking for less costly ways to undertake park visitor surveys. The use of the Internet is often suggested as a way to reduce the costs of these surveys. By itself, however, the use of the Internet for park visitor surveys faces a number of methodological challenges that include the potential for coverage error, sampling difficulties and nonresponse error. A potential way of addressing these challenges is the use of a mixed-mode approach that combines the use of the Internet with another survey mode. The procedures for such a mixed-mode approach, however, have not been fully developed and evaluated. This study develops and evaluates a new mixed-mode approach –a face-toface/web response – for a provincial park camper survey in British Columbia. The five key steps of this approach are: (a) selecting a random sample of occupied campsites; (b) undertaking a short interview with potential respondents; (c) obtaining an email address at the end of the interview; (d) distributing a postcard to potential respondents that contains the website and an individual access code; and (e) undertaking email follow-ups with nonrespondents. In evaluating this new approach, two experiments were conducted during the summer of 2010. The first experiment was conducted at Goldstream Provincial Park campground and was designed to compare a face-to-face/paper response to face-to-face/web response for several sources of survey errors and costs. The second experiment was conducted at 12 provincial park campgrounds throughout British Columbia and was designed to examine the potential for coverage error and the effect of a number of email follow-ups on return rates, nonresponse error and the substantive results. Taken together, these experiments indicate: a low potential for coverage error (i.e., 4% non-use Internet rate); a high email collection rate for follow-ups (i.e., 99% at Goldstream; a combined rate of 88% for 12 campgrounds); similar return rates between a paper mode (60%) and a web (59%) mode; the use of two email follow-ups reduced nonresponse error for a key variable (i.e., geographic location of residence), but not for all variables; low item nonresponse for both mixedmodes (about 1%); very few differences in the substantive results between each follow-up; a 9% cost saving for the web mode. This study suggests that a face-to face/web approach can provide a viable approach for undertaking park visitor surveys if there is high Internet coverage among park visitors.
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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.