Web Survey Bibliography
Objective: In this paper we will develop a standard definition for the response rate in multi
‐actor surveys. Multi‐actor surveys treat persons who are related to each other but who are not necessarily persons of the same household. Since the design of a multi‐actor survey differs from those of individual or in‐person household surveys, the well known classifications of outcomes and the formulas for overall response rates especially made for these latter types of surveys are no longer appropriate. In order to make an adjusted measure for non response available for the former type, this paper deals with a comprehensive way of describing the final disposition codes of cases and calculating outcome rates for such multi‐actor surveys. ‐actor surveys however neither a standardized classification system of final disposition codes, neither a standard response rate is available. This paper will overcome this lack and offers a significant contribution to the quality of multi‐actor surveys since comparable response rates are essential tools to obtain well‐documented multi‐actor data. ‐actor data. Standard definitions for response rates were made applicable for this type of survey data.
Theoretical framework: In order to define response rates, several different schemes exist for classifying the final disposition of cases in a survey. Last decades, many classifications were published for several types of surveys but none of them were exactly alike. To allow consistent calculations of outcomes and comparable response rates, a standardized classification system for final disposition of sample cases and a series of consistent formulas that use these codes are essential. For this purpose a lot of efforts are recently made in survey methodology research: standardized classifications systems and standard definitions for a lot of types of surveys are developed. For multi
Data: This new classification scheme with final disposition codes and the standard definition of the response rates are developed using data of the pilot study of the project "Divorce in Flanders". Contact forms based on the format of the contact forms of the ESS surveys were available in this project which makes detailed analyses of the response process possible.
Method: Several classification schemes for final disposition codes were compared in order to develop an appropriate scheme for multi
Conference homepage (abstract)
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.