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 - WAPOR 62nd Annual Conference, 2009 (13)
- 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.