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 - European survey research associaton conference 2011, ESRA, Lausanne (35)
- Effects of speeding on satisficing in Mixed-Mode Surveys; 2011; Bathelt, S., Bauknecht, J.
- Quantifying Open-Ended Responses: Results from an Online Advertising Tracking Survey; 2011; Jacobe, A., Brewer, L., Vakalia, F., Turner, S., Marsh, S. M.
- Quality of responses to an open-ended question on a mixed-mode survey; 2011; Gibson, J., Vakalia, F., Turner, S.
- Open-ended questions in the context of temporary work research; 2011; Siponen, K.
- How do Respondents Perceive a Questionnaire? The Contribution of Open-ended Questions; 2011; Markou, E., Garnier, B.
- The Uses of Open-Ended Questions in Quantitative Surveys; 2011; Singer, E., Couper, M. P.
- Agree-Disagree Response Format versus Importance Judgment; 2011; Krebs, D.
- Testing a single mode vs a mixed mode design; 2011; Laaksonen, S.
- Germans' segregation preferences and immigrant group size: A factorial survey approach; 2011; Schlueter, E., Ullrich, J., Schmidt, P.
- Errors within web-based surveys: a comparison between two different tools for the analysis of tourist...; 2011; Polizzi, G., Oliveri, A. M.
- Benefits of Structured DDI Metadata across the Data Lifecycle: The STARDAT Project at the GESIS Data...; 2011; Linne, M., Brislinger, E., Zenk-Moeltgen, W.
- Microdata Information System MISSY; 2011; Bohr, J.,
- The Use of Structured Survey Instrument Metadata throughout the Data Lifecycle; 2011; Hansen, S. E.
- DDI and the Lifecycle of Longitudinal Surveys; 2011; Hoyle, L., Wackerow, J.
- Dissemination of survey (meta)data in the LISS data archive; 2011; Streefkerk, M., Elshout, S.
- Underreporting in Interleafed Questionnaires: Evidence from Two Web Surveys; 2011; Medway, R., Viera Jr., L., Turner, S., Marsh, S. M.
- The use of cognitive interviewing methods to evaluate mode effects in survey questions; 2011; Gray, M., Blake, M., Campanelli, P., Hope, S.
- Does the direction of Likert-type scales influence response behavior in web surveys?; 2011; Keusch, F.
- Cross-country Comparisons: Effects of Scale Type and Response Style Differences; 2011; Thomas, R. K.
- Explaining more variance with visual analogue scales: A Web experiment; 2011; Funke, F.
- A Comparison of Branching Response Formats with Single Response Formats; 2011; Thomas, R. K.
- Different functioning of rating scale formats – results from psychometric and physiological experiments...; 2011; Koller, M., Salzberger, T.
- Cognitive process in answering questions: Are verbal labels in rating scales attended to?; 2011; Menold, N., Kaczmirek, L., Lenzner, T.
- Experiments on the Design of the Left-Right Self-Assessment Scale; 2011; Zuell, C., Scholz, E., Behr, D.
- Separating selection from mode effects when switching from single (CATI) to mixed mode design (CATI /...; 2011; Carstensen, J., Kriwy, P., Krug, G., Lange, C.
- Testing between-mode measurement invariance under controlled selectivity conditions; 2011; Klausch, L. T.
- Using propensity score matching to separate mode- and selection effects; 2011; Lugtig, P. J., Lensvelt-Mulders, G. J.
- A mixed mode pilot on consumer barometer; 2011; Taskinen, P., Simpanen, M.
- Separation of selection bias and mode effect in mixed-mode survey – Application to the face-to...; 2011; Bayart, C., Bonnel, P.
- Optimization of dual frame telephone survey designs; 2011; Slavec, A., Vehovar, V.
- A Comparison of CAPI and PAPI through a Randomized Field Experiment; 2011; De Weerdt, J.
- Flexibility of Web Surveys: Probing 'do-not-know' over the Phone and on the Web; 2011; Hox, J., de Leeuw, E. D.
- Changing research methods in Ukraine: CATI or Mixed-Mode Surveys?; 2011; Paniotto, V., Kharchenko, N.
- The effects of mixed mode designs on simple and complex analyses; 2011; Martin, P., Lynn, P.
- Measurement Error in Mixed Mode Surveys: Mode or Question Format?; 2011; de Leeuw, E. D., Hox, J.