Web Survey Bibliography
There are hundreds of studies which experimentally compare the effects of different modes of data collection on measurement. Some consistent findings and theories have emerged from these studies, notably regarding the measurement of sensitive attitudes and behaviours. Whether or not respondents will answer a particular survey question differently in one mode than in another is, nonetheless, still mostly unpredictable. This is in part because many experimental tests focus on descriptive comparisons of response distributions and do not attempt to identify generalisable features of the question or the modes that might cause the differences in measurement.
Based on existing theories and empirical findings, we develop a framework of the causes of mode effects on measurement, which can be used to assess the susceptibility of a survey question to mode effects. The framework posits three important sets of features, the first two of which often differ between modes: characteristics of the question design (e.g. the format), characteristics of the method of administration (e.g. whether or not an interviewer is present, whether information is transmitted to and from the respondent aurally or verbally), and more inherent features of a question, such as difficulty or sensitivity (though these features too may be mediated by question design and method of administration). To test predictions from our framework, we have carried out a mixed mode experiment with CAPI, CATI and web, followed by cognitive interviews to further understand the causes of differences in measurement caused by the use of different modes. This work is funded by the UK Economic and Social Research Council.
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.