Web Survey Bibliography
The field of visual design effects on respondent’s behavior in online surveys is well researched; however in several cases the outcomes of different studies have provided contradictory findings. In this thesis, the focus will be on experiments dealing mainly with
(VAS) and ratings scales. A VAS is an instrument that tries to measure a characteristic or attitude that is believed to range across a continuum of values and is verbally anchored at eac end (e.g. VAS is relatively rare, in part because of operational difficulties (Couper et al. (2006)). Hence a detailed view on technical possibilities and pitfalls should be given.
Three main studies with the same experimental design (ensuring that occurring effects were reproducible) were carried out, whereby 6 different types of such scales were presented to the interviewees in order to measure the effect of varying appearance and functionality of the controls used for implementing the scales. To run these experiments, software was developed that focused on a good support system for Web survey experimenting. The results refer to the general fill out behavior, completion time, dropout, reliability and usage of extreme points.
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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.