Web Survey Bibliography
The search for cost effective survey designs with high coverage and high response increasingly leads survey practitioners to consider data collection via mobile phones, typically as part of a mixed-mode design. However, quality of measurement is also important. To conduct high quality surveys via mobile phone one needs to understand what factors may influence responses to survey questions in this mode and how, if at all, these factors may differ from other modes.
Building upon previously developed theories in survey methodology, we develop a theoretical model of response to survey questions via mobile phone. At the core of the model is the cognitive response process (Tourangeau, Rips, Rasinski, 2000). We then identify necessary conditions for optimum completion of this process and determinants of whether such conditions can be met, discussing the situational and respondent attributes which may influence the results. The respondent attributes can be influenced by selection (non-response) and in this way the model identifies the joint effect of non-response and measurement on survey error.
We then discuss the design and analysis of an empirical study used to test aspects of our model. The data were collected in Hungary in 2004 as part of a European Social Survey – Gallup Europe programme of research into survey modes. Suggestions are provided for further research to better understand and control influences on responses for mobile surveys.
Conference Homepage (abstract)
Web survey bibliography - Lynn, P. (35)
- Targeted Appeals for Participation in Letters to Panel Survey Members; 2016; Lynn, P.
- Assessing targeted approach letters: effects in different modes on response rates, response speed and...; 2016; Lynn, P.
- Revisiting “yes/no” versus “check all that apply”: Results from a mixed modes...; 2016; Nicolaas, G.; Campanelli, P.; Hope, S.; Jaeckle, A.; Lynn, P.
- Understanding Society Innovation Panel Wave 7: Results from Methodological Experiments; 2015; Blom, A. G.; Burton, J.; Booker, C. L.; Cernat, A.; Fairbrother, M.; Jaeckle, A.; Kaminska, O.; Keusch...
- Going Online with a Face-to-Face Household Panel: Effects of a Mixed Mode Design on Item and Unit Non...; 2015; Burton, J.; Jaeckle, A.; Lynn, P.
- The role of email addresses and email contact in encouraging web response in a mixed mode design ; 2014; Cernat, A., Lynn, P.
- Measurement effects between CAPI and Web questionnaires in the UK Household Longitudinal Study; 2014; Lynn, P., Vannieuwenhuyze, J. T. A.
- Improving Survey Methods: Lessons from Recent Research; 2014; Engel, U., Jann, B., Lynn, P., Scherpenzeel, A., Sturgis, P.
- Tailoring mode of data collection in longitudinal studies; 2013; Kaminska, O., Lynn, P.
- 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...
- The Role of Mode Preference Questions in Predicting Mode-Specific Response Propensities; 2013; Lynn, P., Kaminska, O.
- Issues of Coverage and Sampling in Web Surveys for the General Population; 2013; Lynn, P.
- Going online with a face-to-face household panel: initial results from an experiment on the Understanding...; 2013; Jaeckle, A., Lynn, P., Burton, J.
- Targeted response inducement strategies on longitudinal surveys; 2013; Lynn, P.
- An Initial Look at Non-Response and Attrition in Understanding Society; 2012; Lynn, P., Burton, J., Kaminska, O., Knies, G., Nandi, A.
- The Propensity of Older Respondents to Participate in a General Purpose Survey; 2012; Lynn, P.
- Mode-Switch Protocols: How a Seemingly Small Design Difference can affect Attrition Rates and Attrition...; 2012; Lynn, P.
- Going online with a face-to-face household panel: Initial results from an experiment on the UK Household...; 2012; Jaeckle, A., Lynn, P., Burton, J.
- ISER working paper 2011-31. Is it a good idea to optimise question format for mode of data collection...; 2011; Nicolaas, G., Campanelli, P., Hope, S., Jaeckle, A., Lynn, P.
- Maintaining Cross-Sectional Representativeness in a Longitudinal General Population Survey ; 2011; Lynn, P.
- The Effect of a Mixed Mode Wave on Subsequent Attrition in a Panel Survey: Evidence from the Understanding...; 2011; Lynn, P.
- Is it a good idea to optimise question format for mode of data collection? Results from a mixed modes...; 2011; Nicolaas, G., Campanelli, P., Hope, S., Lynn, P., Nandi, A.
- The effects of mixed mode designs on simple and complex analyses; 2011; Martin, P., Lynn, P.
- Making Good Use of Survey Paradata; 2010; Lynn, P., Nicolaas, G.
- Weighting Strategy for Understanding Society; 2010; Lynn, P., Kaminska, O.
- Sample Design for Understanding Society ; 2009; Lynn, P.
- Methodological Research for Longitudinal Surveys; 2009; Lynn, P.
- 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.
- New Methodologies in Sampling Rare and Elusive Populations; 2009; Pal, S., Thompson, S., Kalton, G., Lynn, P.
- Respondent Incentives in a Multi-Mode Panel Survey: Cumulative Effects on Non-Response and Bias; 2008; Jaeckle, A., Lynn, P.
- Methodology in Our Madness; 2007; Lynn, P.
- Using Multiple Modes to Collect Data in Surveys; 2007; Lynn, P.
- Telephone versus Face-to-Face Interviewing: Mode Effects on Data Quality and Likely Causes. Report...; 2006; Jaeckle, A., Lynn, P., Roberts, C.,
- Towards Standardisation of Survey Outcome Categories and Response Rate Calculations; 2003; Lynn, P., Beerten, R., Laiho, J., Martin, J.
- Recommended Standard Final Outcome Categories and Standard Definitions of Response Rate for Social Surveys...; 2001; Lynn, P., Beerten, R., Laiho, J., Martin, J.