Web Survey Bibliography
The main objective of the presentation is to answer the question significant for social survey research why some people participate in a scientific panel survey while others refuse to participate. The so
‐called unit‐nonresponse, i.e. the systematic denial of a person to participate in a scientific survey, might be an important problem in social research, since it can be a crucial source of selective sampling. Meta‐analysis of existing literature on unitnonresponse provide empirical evidence that the empirical analysis of the reasons of unitnonresponse are not driven by testing the theories explaining the individuals’ refuse in participating at a survey but it is based on so‐called ‘variable sociology’. That WAPOR Annual Conference 2009 4 ‐participants have been used to deduce the main reasons for individuals’ unit‐nonresponse in a speculative way. Social decision‐making mechanisms of the respondent’s decisions with some explanation power working behind these distributions thus remain undetected. To answer the central research question, the causes for the participation or non‐participation in surveys have to be uncovered. ‐nonresponse as a result of an individual decision of the respondents. In traditional panel surveys, there is a lack of essential variables explaining the individuals’ participation behaviour; therefore it is necessary to conduct these information in a special research design. ‐mail addresses in order to send the results to them. However, these email addresses has been used to ask the former respondents to participate in an online survey on drug use twice. The actual participation is explained by the previously collected theoretical constructs. The collected data provide following results: At the beginning of a panel survey, considerations of costs (such as fear of data misuse) as well as the factor of the respondent’s currently available time have influences the respondents participation decision. Respondents will take part at the second wave of a panel survey more likely if only a few questions were stressful in the initial wave and, moreover, if the survey topic is of interest for them. These results support the theory of rational action in order to explain unit‐nonresponse. As part of this study on the participation behavior in social science surveys, an experiment was carried out to explore for a mailed questionnaire empirically, whether non‐monetary incentives increases the cooperation of the respondents in an classroom survey and reduces their fear of costs. Therefore, two experiments were carried out. ‐monetary incentives (one 50g Toblerone) had no influence on the cooperation of the respondents, a promised non‐monetary incentive (lottery) leads to the opposite effect. It appeared to be successful for the respondents cooperation, although could not reduce the respondents fear of costs.
means that the distributions of demographic variables of participants and non
One model of participation behavior in social research – the theory of rational action (based on the theory of subjective expected utility) by Esser (1974, 1984, 1986, 1990) – explain the unit
Using an experimental design, the theoretically relevant expectations, evaluations and attitudes toward scientific surveys has been collected. The sample contains about 300 students at the University of Berne (classroom survey; random selection of courses). At the end of the questionnaire, students were asked to provide their e
Students of the first experimental group received the questionnaire combined with a bar of chocolate (here: one 50g Toblerone). Students of the second experimental group were offered the chance to participate in a lottery (here: 2 x 2000g Toblerone). While the use of prepaid non
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Web survey bibliography (4086)
- The Effects of the Initial Mode of Contact on the Response Rate and Data Quality in an Internet-Based...; 2009; Wiseman, F.
- Doing Research in the Real World; 2009; Gray, D. E.
- Conducting Mobile Surveys: A Hands-on Introduction to an Innovative Research Mode; 2009; Pferdekämper, T., Melcher, T.
- Internet-based surveys and urban design education: A community outreach graduate project in Redding,...; 2009; del Rio, V., Levi, D.
- Exploration of secondary students’ creativity by integrating web-based technology into an innovative...; 2009; Jang, S.-J.
- An experimental mixed mode design on a general population survey ; 2009; Eva, G.
- Declining Working Phone Rates Impact Sample Efficiency; 2009; Piekarski, L.
- Using Non-Probability Samples for Confusion Surveys - Mall Intercepts and the Internet; 2009; Ericksen, E. P.
- Using Debit Cards for Incentive Payments: Experiences of a Weekly Survey Study; 2009; Gatny, H. H., Couper, M. P., Axinn, W., Barber, J. S.
- Characteristics of Cell Phone Only, Listed, and Unlisted Telephone Households; 2009; Tarnai, J., Schultz, R., Moore, D.
- Cell Phone-Only Households: A Good Target for Internet Surveys?; 2009; Bates, N.
- Nonsampling Error Research in Practice; 2009; Brick, J. M., Kalton, G.
- Total Survey Error: Past, Present, Future; 2009; Groves, R. M.
- Envisioning the Survey Interview of the Future ; 2009; Conrad, F. G., Schober, M. F.
- Metrics for panel contribution: a non probabilistic platform; 2009; Gittelmam, S. H., Trimarchi, E.
- Are telephone Surveys a dying bread. How declining response rates can be explained and resolved; 2009; Degen, M., Obermüller, A., Schielicke, A.-M.
- Relation between values and topic of a survey in internet panel research; 2009; Vis, C., Marchand, M.
- The potential of mobile research: Implications for the future and the role of industry standards; 2009; Nelson, Li.
- Factors Contributing to Participation in Web‐based Surveys among Italian University Graduates; 2009; Cimini, C., Girottu, C., Gasperoni, G.
- Integration of different data collection techniques using the propensity score; 2009; Camillo, F., Conti, V., Ghiselli, S.
- Mode effects in Switzerland: non‐response and measurement error on the European Social Survey; 2009; Roberts, C.
- The mixing of survey modes: application to Laon web and face‐to‐face household travel survey...; 2009; Bayart, C., Bonnel, P.
- Reason analysis: an ambitious alternative for mixed‐mode survey design; 2009; Jerabek, H.
- An innovative open source strategy for the development of electronic questionnaires for statistical...; 2009; Degortes, M., Landriscina, M., Murgia, M.
- Response rates in multi actor surveys; 2009; Pasteels, I., Ponnet, K., Mortelmans, D.
- Unit non‐response in panel surveys: empirical finding from an experiment; 2009; Haunberger, S.
- Do cash incentives helps with RDD studies? Examination of results from a national and a statewide survey...; 2009; Miller, Y., Barger, K., Hearn, D.
- Are people sharing their mobile phones? Selection probabilities in cellular telephone surveys; 2009; Fuchs, M., Busse, B.
- Accuracy of Estimates in Access Panel based Surveys; 2009; Enderle, T., Münnich, R., Bruch, C.
- New developments in survey methodology for official statistics; 2009; Bethlehem, J.
- Survey cooperation: response to initial and follow-up requests - Recent experiences from the recruitment...; 2009; Bartsch, S., Engel, U., Schnabel, C., Vehre, H.
- Methodological Research for Longitudinal Surveys; 2009; Lynn, P.
- Using Mobile Phones to Administer a Working Memory Updating Task in a Survey - Cognitive Performance...; 2009; Schmiedek, F., Riediger, M., Lindenberger, U., Wagner, G. G.
- Accessibility of individuals for mobile phone surveys; 2009; Gabler, S., Häder, S.
- Mixed Modes and Measurement Error: Comparing face-to-face, telephone and web modes ; 2009; Hope, S., Nicolaas, G., Jaeckle, A., Lynn, P., Nandi, A., Campanelli, P.
- The Difficult but Essential Challenge of Designing Mixed-Mode Surveys; 2009; Dillman, D. A.
- Overcoming the challenges of measuring self-reported digital media use: Using feedback to increase data...; 2009
- The Internet survey ; 2009; Getka-Wilczynska, E.
- Modelling online survey participation among Italian university graduates ; 2009; Cimini, C., Girotti, C., Gasperoni, G.
- Coverage rates of mobile telephones and the Internet in Italy ; 2009; Fabbris, L., Gorelli, S.
- Imperfect frames and new data collection techniques ; 2009; Biffignandi, S.
- Web based survey methods workshop; 2009; Weiss, M.
- Web Surveys; 2009; Bosnjak, M.
- Internet Surveys and the Demise of the Matrix; 2009; O’Neill, G., Freedman, S.
- Assesssment of Potential Bias in Telephone Survey Estimates Due to Noncontact and Noncoverage When Household...; 2009; Khare, M., Wouhib, A.
- Experimenting With Speech Interactive Voice Response, Touchtone Data Entry and the Web for the National...; 2009; Cantor, D., Brick, P. D., Tourangeau, R., Conrad, F. G.
- Avoiding the ‘Hang ups’ - Understanding Mobile Phone Self-completion Surveys ; 2009; Johnson, A. J.
- The Impact of Technology on Research Quality; 2009; Milla, P.
- Respondent Technology Preferences; 2009; Miller, C.
- Getting In Line with Online: Making Sense of Chat-based Focus Groups, Ethnogrophies, Blogs, and More; 2009; Longo, J.