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. (33)
- Issues of Coverage and Sampling in Web Surveys for the General Population: An Overview; 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.
- A classification of question characteristics relevant to measurement (error) and consequently important...; 2011; Campanelli, P., Nicolaas, G., Jaeckle, A., Lynn, P., Hope, S., Blake, M., Gray, M.
- 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., Jaeckle, A., Lynn, P., Nandi, A.
- The role of the interviewer in producing mode effects: results from a mixed modes experiment; 2011; Hope, S., Campanelli, P., Nicolaas, G., Lynn, P., Jaeckle, A., Nandi, A.
- The role of visual and aural stimuli in producing mode effects on answers to survey questions; 2011; Lynn, P., Hope, S., Campanelli, P., Nandi, A., Nicolaas, G., Jaeckle, A.
- Causes of Mode Effects on Survey Measurement ; 2011; Lynn, P., Campanelli, P., Nicolaas, G., Hope, S., Nandi, A., Jaeckle, A.
- The effects of mixed mode designs on simple and complex analyses; 2011; Martin, P., Lynn, P.
- Survey Response via Mobile Phone: A Total Survey Error Perspective; 2011; Kaminska, O., Lynn, P.
- Weighting Strategy for Understanding Society; 2010; Lynn, P., Kaminska, O.
- Lessons from a Randomised Experiment with Mixed-Mode Designs for a Household Panel Survey; 2010; Lynn, P., Uhrig, S.C. N., Burton, J.
- The ESRC Survey Resources Network - Opportunities for the advancement of survey methods; 2010; Lynn, P., Erens, B.
- Sample Design for Understanding Society ; 2009; Lynn, P.
- The Potential of a Multi-mode Data Collection Design to Reduce non-response bias. The Case of a Survey...; 2009; Sala, E., 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., Jäckle, A., Lynn, P., Nandi, A., Campanelli, P.
- Methodology of Longitudinal Surveys (Wiley Series in Survey Methodology); 2009; Lynn, 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; Jäckle, A., Lynn, P.
- The Problem of Nonresponse; 2008; Lynn, P.
- Methodology in Our Madness; 2007; Lynn, P.
- Using Multiple Modes to Collect Data in Surveys; 2007; Lynn, P.
- The Use of Web Surveys in the UK Household Longitudinal Study; 2007; Jaeckle, A., Laurie, H., Lynn, P.
- Inferential Potential of Non-Probability Samples; 2005; Lynn, P.
- In the Long Run: lessons from a panel survey respondent incentive experiment; 2004; Jäckle, A., Lynn, P.
- Towards Standardisation of Survey Outcome Categories and Response Rate Calculations; 2003; Lynn, P., Beerten, R., Laiho, J., Martin, J.
- Response Rates as a Measure of Survey Quality; 2001; Beerten, R., Lynn, P., Laiho, J., Martin, J.