Web Survey Bibliography
Internet panel surveys based on probability samples of the population present new and exciting opportunities for gathering social science data. Yet despite their considerable appeal, particularly with respect to measurement quality (for example, the potential to reduce bias on socially sensitive questions, the avoidance of interviewer effects, and the possibility to exploit all the benefits of computer-assisted questionnaire administration), threats to data quality persist in the form of nonresponse and attrition, and the possibility that over time, the responses of even the most loyal panelists may exhibit effects associated with learning or declining motivation. As interest in the relation between different types of survey error and their implications for survey costs grows among survey methodologists, a question that arises in the context of probability-based Internet panels is whether the resources needed to recruit and retain those sample members who are least motivated to join and participate in the panel can be justified in terms of the resulting quality of the data such respondents contribute. Given that factors influencing the decision to participate in a survey may also influence the respondents’ motivation and ability to respond to the survey questions, variations in the quality of responses may simultaneously be affected by both non-response bias and measurement error. We address this question using data from the 2008-09 American National Election Studies Internet Panel Survey, a specially-designed study based on an RDD sample of the US electorate. Using interview and paradata from the initial recruitment survey, we examine the relation between the level of effort needed to recruit panelists, their willingness to participate in subsequent panel waves and the quality of responses given when taking part, using a range of indicators of data quality, including effects associated with satisficing (Krosnick, 1991).
Conference Homepage (abstract)
Web survey bibliography - Roberts, C. (9)
- Mode Effects on Subjective Well-being Research: Do they Affect Regression Coefficients? ; 2016; Sanchez Tome, R.; Roberts, C.; Staehli, M. E.; Joye, D.
- Mixing modes of data collection in Swiss social surveys: Methodological report of the LIVES-FORS mixed...; 2016; Roberts, C.; Joye, D.; Staehli, M. E.
- Nonresponse and measurement error in an online panel; 2014; Roberts, C., Allum, N., Sturgis, P.
- Participation and engagement in web surveys of the general population: An overview of challenges and...; 2013; Roberts, C.
- User’s Guide to the Advance Release of the 2008-2009 ANES Panel Study ; 2009; DeBell, M.; Krosnick, J. A.; Lupia, A.; Roberts, C.
- Mode effects in Switzerland: non‐response and measurement error on the European Social Survey; 2009; Roberts, C.
- Mixing modes of data collection in surveys: A methodological review; 2007; Roberts, C.
- Telephone versus Face-to-Face Interviewing: Mode Effects on Data Quality and Likely Causes. Report...; 2006; Jaeckle, A., Lynn, P., Roberts, C.,
- Expert workshop on mixed mode data collection in comparative social surveys; 2005; Roberts, C.