Web Survey Bibliography
Mixed mode surveys are becoming increasingly common. This has led to calls for tests of the differences in response patterns between survey modes. In this article, we present an analysis of mode effects, using data from Wave 1 of the ITC Netherlands Survey, conducted by web (CAWI) and telephone (CATI). For many of the questions, the web and telephone samples differed in the distribution of response options. This was found to be partly attributable to selection effects, since the web and telephone respondents were recruited in different ways, and the web and telephone samples differed on demographic characteristics. Another source of difference in the response option distribution was “administrative” in origin, having to do with the tendency of respondents to process the options differently depending on survey mode. This article illustrates an approach to modelling in a mixed mode survey that takes into account both selection and administration mode effects. The model is also embedded in an analysis of reactions to labels on cigarette packages using ITC data from the Netherlands, Germany, France, and the United Kingdom.
Spanish
Los modos mixtos de colecta son cada vez más frecuentes en las encuestas, y se hace necesario comprobar las diferencias entre las respuestas obtenidas por diferentes métodos. Este artículo analiza los efectos del modo de colecta utilizando los datos de la primera ola de la encuesta holandesa International Tobacco Control (ITC), realizada por internet (CAWI) y por teléfono (CATI). Para muchas preguntas, las dos muestras presentan distribuciones de repuestas diferentes. Ello es debido en parte a efectos de selección pues los sujetos que respondieron por teléfono fueron escogidos de manera diferente a los que respondieron por internet, y también al hecho de que las dos muestras diferían por ciertas características demográficas. Además intervino otro factor de origen "administrativo", pues hubo una tendencia a tratar las opciones de respuesta diferentemente según el modo de colecta. Este artículo presenta una modelización que toma en cuenta ambos efectos, selección y administración, en una encuesta con un modo mixto de colecta. El modelo es utilizado también en un análisis de las reacciones a las etiquetas que figuran en los paquetes de cigarrillos en Holanda, Alemania, Francia y Reino-Unido.
French
Les enquêtes recourant à un mode mixte de collecte sont de plus en plus nombreuses, et il devient nécessaire de tester les écarts entre les réponses obtenues par téléphone et par internet. Cet article analyse les effets des différents modes de collecte en utilisant la vague 1 de l'enquête International Tobacco Control (ITC) des Pays-Bas réalisée par internet (CAWI) et par téléphone (CATI). Pour de nombreuses questions, les échantillons présentent des distributions de réponse différentes. C'est dû en partie à des effets de sélection, car les répondants sont recrutés par des procédures différentes et les échantillons n'ont pas les mêmes caractéristiques démographiques, et en partie à des facteurs d'administration des questions, les répondants traitant différemment les items de réponse en fonction du mode de collecte. L'objectif est ici de présenter une modélisation qui prend en compte à la fois les effets de sélection et d'administration dans une enquête utilisant un mode mixte de collecte. Le modèle est aussi intégré dans une analyse des réactions à des mentions figurant sur les paquets de cigarettes, d'après les enquêtes ITC aux Pays-Bas, en Allemagne, en France et au Royaume-Uni.
IngentaConnect (Abstract) / (Full text); Journal Homepage (Abstract) / Full text)
Web survey bibliography - 2013 (465)
- The role of gamification in better accessing reality and hence increasing data validity ; 2015; Bailey, P.; Kernohan, H.; Pritchard, G.
- Rewarding the Truth; 2015; Puleston, J.
- Tailored fieldwork design to increase representative household survey response: an experiment in the...; 2015; Luiten, A.; Schouten, B.
- Challenges with Online Research for Couples and Families: Evaluating Nonrespondents and the Differential...; 2015; Busby, D. M.; Yoshida, Ke.
- Do Incentives Commoditize Surveys Or Reinforce The Relationship Economy?; 2014; Murphy, L.
- Is it what you say, or how you say It? An experimental analysis of the effects of invitation wording...; 2014; Fazekas, Z., Wall, M. T., Krouwel, A.
- Asking Sensitive Questions: An Evaluation of the Randomized Response Technique Versus Direct Questioning...; 2013; Wolter, F.; Preisendoerfer, P.
- Developing an Inclusive Web Survey Design for Respondents with Disabilities; 2013; Jagger, J.; Schaad, A.; Davis, As.; Falcone, A. E.
- The Impact of Survey Communications on Response Rates and Response Quality; 2013; Barlas, F. M.; Falcone, A. E.; Bellamy, N. D.; Mack, A. R.
- The Smartphone Way to Collect Survey Data; 2013; Stapleton, C.
- A Glimpse Inside the Mind of a Respondent: Using Paradata to Improve Online Surveys; 2013; Pape, T.; Barron, S.
- Respondent Choice of Survey Mode; 2013; Fuchs, M.
- Mobile-Mostly Internet Users and Noncoverage in Traditional Web Surveys ; 2013; Antoun, C.; Couper, M. P.
- Pret met panels [Fun online]; 2013; Roberts, A., de Leeuw, E. D., Hox, J., Klausch, L. T., de Jongh, A.
- Leuker kunnen wij het wel maken. Online vragenlijst design: standaard matrix of scrollmatrix (We can...; 2013; Roberts, A., de Leeuw, E. D., Hox, J., Klausch, L. T., de Jongh, A.
- Development and validation of a single- item scale for the relative assessment of physical attractiveness...; 2013; Lutz, J.; Kemper, C. J.; Beierlein, C.; etc.
- Accounting for the Effects of Data Collection Method Application to the International Tobacco Control...; 2013; Thompson, M. E.; Huang, Y. C.; Boudreau, C.; Fong, G. T.; van den Putte, B.; Nagelhout, G. E.; Willemsen...
- A dual-frame sampling methodology to address landline replacement in tobacco control research..; 2013; McMillen, R. C.; Winickoff, J. P.; Wilson, K.; Tanski, S.; Klein, J. D.
- User Modeling via Machine Learning and Rule-Based Reasoning to Understand and Predict Errors in Survey...; 2013; Stuart, L. C.
- Measuring Mobile Phone Use: Self-Report Versus Log Data; 2013; Boase, J., Ling, R.
- How Sliders Bias Survey Data; 2013; Sellers, R.
- Does the first impression count? Examining the effect of the welcome screen design on the response rate...; 2013; Haer, R., Meidert, N.
- Survey Research Response Rates: Internet Technology vs. Snail Mail ; 2013; Lanier, P. A., Tanner, J. R., Totaro, M. W., Gradnigo, G.
- The impact of New Zealand's 2008 prohibition of piperazine-based party pills on young people'...; 2013; Sheridan, J., Dong, C. Y., Butler, R., Barnes, J.
- PRM144 – An adaptable methodology for the design, implementation and conduct of a web-based survey...; 2013; Yeomans, K., Kawata, A. K., Bassel, M., Burk, C. T., Daniels, S. R., Wilcox, T. K.
- The relationships among nurses' job characteristics and attitudes toward web-based continuing learning...; 2013; Chiu, Y.-L., Tsai, C.-C., Fan Chiang, C.-Y.
- Surveillance of patients post-endovascular abdominal aortic aneurysm repair (EVAR). A web-based survey...; 2013; Patel, A., Edwards, R., Chandramohan, S.
- How well do volunteer web panel surveys measure sensitive behaviours in the general population, and...; 2013; Erens, B., Burkill, S., Copas, A., Couper, M. P., Conrad, F.
- Tailoring mode of data collection in longitudinal studies; 2013; Kaminska, O., Lynn, P.
- Comparison of Three Modes for a Crime Victimization Survey; 2013; Laaksonen, S., Heiskanen, M.
- Community Life Survey: Summary of web experiment findings; 2013
- Does Stress Increase the Risk of Atopic Dermatitis in Adolescents? Results of the Korea Youth Risk Behavior...; 2013; Kwon, J. A., Lee, M., Park, E.-C., Park, S., Yoo, K.-B.
- The Short-term Campaign Panel of the German Longitudinal Election Study 2009. Design, Implementation...; 2013; Steinbrecher, M., Rossmann, J.
- Understanding Society Innovation Panel Wave 5: results from methodological experiments; 2013; Auspurg, K., Burton, J., Cullinane, C., Delavande, A., Fumagalli, L., Iacovou, M., Jaeckle, A., Kaminska...
- Bringing usability to pretesting of Business Survey Web Forms in Statistics Finland; 2013; Rouhunkoski, J.
- How do we Know Cognitive Interviewing is Any Good?; 2013; Willis, G. B.
- Survey optimisation considerations for Android, Apple and Windows 8 mobile devices; 2013; Owen, R.
- Speeding in Web Surveys: The tendency to answer very fast and its association with straightlining; 2013; Conrad, F. G.; Zhang, Che.
- About the Institute of Public Health - Data aspect; 2013; Zaletel, M.
- Analyzing Paradata to Investigate Measurement Error; 2013; Yan, T., Olson, K.
- Too Fast, Too Straight, Too Weird: Post Hoc Identification of Meaningless Data in Internet ; 2013; Leiner, D. J.
- Can timestamp analyses show the bottlenecks in web surveys?; 2013; Andreadis, I.
- Timing in a web based survey: an influential factor of the response rate; 2013; Paraschiv, D.-C.
- Achieving Synergy Across Survey Modes: Mail Contact and Web Responses from Address-Based Samples; 2013; Dillman, D. A.
- The Future of Social Media, Sociality, and Survey Research; 2013; Hill, C., Dever, J. A.
- Collecting Diary Data on Twitter; 2013; Richards, A., Dean, E., Cook, S.
- Second Life as a Survey Lab: Exploring the Randomized Response Technique in a Virtual Setting; 2013; Richards, A., Dean, E.
- Virtual Cognitive Interviewing Using Skype and Second Life; 2013; Dean, E., Head, B., Swicegood, J. E.
- Sentiment Analysis: Providing Categorical Insight into Unstructured Textual Data; 2013; Haney, C.
- Social Media, Sociality, and Survey Research; 2013; Hill, C., Dean, E., Murphy, J.