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 - Other (439)
- A comparison of surveys using different modes of data collection; 2010; Revilla, M., Saris, W. E.
- Examining the effects of website-induced flow in professional sporting team websites; 2010; O'Cass, A., Carlson, J.
- Research into questionnaire design - A summary of the literature; 2010; Lietz, P.
- College Students' Response Rate to an Incentivized Combination of Postal and Web-Based Health Survey; 2010; Balajti I., Daragó, L., Ádány, R., Kósa, K.
- Improving the response rate and quality in Web-based surveys through the personalization and frequency...; 2010; Muñoz-Leiva, F., Sánchez-Fernández, J., Montoro-Ríos, F. J., Ibáñez-Zapata, J. A.
- What are participants doing while filling in an online questionnaire: A paradata collection tool and...; 2010; Stieger, S., Reips, U.-D.
- ESS Handbook for Quality Reports; 2009
- ESS Standard for Quality Reports; 2009
- MarketTools TrueSample; 2009
- ISO 26362 Access panels in market, opinion, and social research-Vocabulary and service requirements; 2009
- Stochastic properties of the Internet sample; 2009; Getka-Wilczynska, E.
- Web based survey: an emerging tool; 2009; Srivenkataramana, T., Saisree, M.
- The impact of gender in e-mailed survey invitations; 2009; Derham, P.
- The Coverage Bias of Mobile Web Surveys Across European Countries ; 2009; Fuchs, M., Busse, B.
- Interactivity in self-administered surveys. Influence on respondents' experience; 2009; Suarez Vazquez, A., Garcia Rodriguez, N., Alvarez, M. B.
- Metrics for panel contribution: a non probabilistic platform; 2009; Gittelmam, S. H., Trimarchi, E.
- Mode effects in Switzerland: non‐response and measurement error on the European Social Survey; 2009; Roberts, C.
- Reason analysis: an ambitious alternative for mixed‐mode survey design; 2009; Jerabek, H.
- 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.
- Computer-Assisted Audio Recording (CARI): Repurposing a Tool for Evaluating Comparative Instrument Design...; 2009; Edwards, B., Hicks, W., Tourangeau, K., Harris-Kojetin, L., Moss, A.
- Comparison between Liss panel (web) and ESS data (face to face); 2009; Revilla, M., Saris, W. E.
- The influence of the field time on data quality in list-based Web surveys; 2009; Goeritz, A., Stieger, S.
- Why don’t all Businesses report on Web?; 2009; Haraldsen, G.
- Turning Grid Questions into Sequences in Business Web Surveys; 2009; Haraldsen, G., Bergstrøm, Y.
- Visual Design Effects on Respondents’ Behavior in Web-Surveys; 2009; Greinoecker, A.
- Applying theory to structure respondents' stated motivations for participating in web surveys; 2009; Han, V., Albaum, G., Wiley, J. B., Thirkell, P.
- Web-based survey attracted age-biased sample with more severe illness than paper-based survey; 2009; Klovning, A., Sandvik, H., Hunskaar, S.
- Online Election Surveys: Keeping the Voters Honest? ; 2009; Gibson, R., McAllister, I.
- A recipe for effective participation rates for web-based surveys ; 2009; Bennett, L., Nair, C. S.
- Pause Mechanism in Complex Online Surveys; 2009; Milewski, J.
- Response Formats in Cross-cultural Comparisons in Web-based Surveys; 2009; Thomas, R. K.l, Terhanian, G., Funke, F.
- Relevance Of Health-Related Online-Information In Offline- And Online-Samples; 2009; Stetina, B. U., McElheney, J., Lehenbauer, M., Hinterberger, E., Pintzinger, N., Kryspin-Exner, I.
- Three Different Designs of Type Ranking‐Questions; 2009; Sackl, A.
- Gay and Lesbian People: The Use of Online Communication Services; 2009; Lehenbauer, M., Stetina, B. U., Kryspin-Exner, I.
- An Online Study on Coping with Anxiety and Disease-Specific Internet Use in Panic Attack Sufferers; 2009; König, D., Hiebler, C., Kryspin-Exner, I.
- Distortion of demographics through technically induced dropout in restricted online surveys; 2009; Voracek, M., Stieger, S., Goeritz, A.
- An Internet-based Study on Coping with Illness and Attitudes towards Online Health Care in Cancer Patients...; 2009; Setz, J., König, D., Kryspin-Exner, I.
- WebEXEC: A Short Self-Report Measure of Executive Function Suitable for Administration via the Internet...; 2009; Buchanan, T., Heffernan, T. M., Parrott, A. C., Ling, J., Rodgers, J., Scholey, A. B.
- Let's go formative: Continuous student ratings with Web 2.0 application Twitter; 2009; Burger, C., Stieger, S.
- Self-Efficacy Of Online Health Seekers; 2009; Stetina, B. U., Schramel, C., Lehenbauer, M., Schawill, W., Kryspin-Exner, I.
- Diffusion of Mobile Services Adoption in Taiwan; 2009; Doong, H.-S., Wang, H.-C.
- Verbal Vs Visual Response Options: Reconciling Meanings Conveyed by a Computer Aided Visual Rating Scale...; 2009; Garland, P., Cape, P.
- Increasing response rates in list based samples; 2009; Keusch, F., Kurz, H., Penzkofer, P.
- Implementation of a reaction time tool for brand measurement at Swisscom; 2009; Paar, I., Urbahn, J.
- Measuring Network Quality: Strengths and Weaknesses of different Evaluation Methods (SMS, w@p and web...; 2009; Wallisch, A., Schwab, H.
- Large Scale Digital Data Collection in Developing Countries: Is The Time Right? ; 2009; Hattas, M., Cronje, M., Berard, O.
- Implementation of web-based data-collection channel eSTAT for economic entities; 2009; Sillajoe, T.
- Personality on Social Network Sites: An Application of the Five Factor Model; 2009; Wehrli, S.
- Use of Online Interviews in the Underlying Discourse Unveiling Method (UDUM); 2009; Nicolaci-da-Costa, A. M., Romao-Dias, D., Di Luccio, F.