Web Survey Bibliography
Landline telephone surveys have been used for several decades to generate critical knowledge about consumer confidence, health conditions, political attitudes, and other characteristics of the American public. The coverage provided by this methodology is rapidly declining due to widespread adoption and, in many cases, substitution of mobile (cell) phones over landlines. In order to address this problem, survey researchers have begun supplementing landline surveys with samples of cell phone numbers. The error properties of cell phone surveys, particularly with respect to nonresponse and measurement, are largely unknown. Researchers have limited knowledge as to why some people answer surveys on their cell phone but others do not. It is also an open question as to whether people respond less accurately on a cell phone as compared to a landline. The potential to interview people outside the home or engaged in an activity that distracts from the task of responding could result in respondents taking more cognitive shortcuts and providing less accurate data relative to landline interviews. These dynamics could also reduce the reliability of survey estimates and, for some measures, even change the mean of the response distribution. This dissertation uses data from a unique repeated-measures experiment to address these research gaps. Nonresponse modeling indicates that the sets of factors influencing participation decisions in landline and cell phone surveys are different, though overlapping. Measurement error comparisons show that the quality of data from cell phone and landline interviews are generally comparable, with some intriguing exceptions. Finally, there is evidence that respondents may answer some survey questions differently depending on whether they are interviewed at home or away from home, presumably because of differential environmental cues. This research demonstrates that the error properties of landline and cell phone survey data tend to be similar, but there are potentially important exceptions that warrant methodologists’ attention.
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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.