Web Survey Bibliography
Longitudinal social science surveys typically collect data at regular intervals. In most ongoing panel surveys, the time between two consecutive waves of measurement is 1 year. This interval is often chosen because year-to-year changes often suffice to answer the research questions of interest. This article focuses on the accuracy of data that are collected retrospectively on events that occur between two interviews: the use of the medical services of a Family Physician (FP). Surveys like the Survey of Health and Retirement in Europe (Börsch-Supan et al., 2013) and the Health and Retirement Survey (Wallace & Herzog, 1995) annually ask the survey question: “During the last 12 months, about how many times in total have you seen or talked to a medical doctor about your health?” Earlier studies on the quality of such survey reports have found substantial inaccuracies in retrospective reports of behavioral frequencies that were caused by underreporting, overreporting, or a combination of the two. Respondents can follow different strategies to answer retrospective questions. One strategy is to try to recall every specific behavioral event along with details of such events. Another strategy, used more often, is to estimate the frequency of events without recalling every event specifically (Conrad, Brown, & Cashman, 1998; Schwarz, 1990). Both strategies involve memory retrieval, which is often followed by a process of adding up or averaging the behavioral frequencies and giving an answer. At each …
Web survey bibliography - Lugtig, P. J. (12)
- Data chunking for mobile web: effects on data quality; 2017; Lugtig, P. J.; Toepoel, V.
- Mobile-only web survey respondents; 2016; Lugtig, P. J.; Toepoel, V.; Amin, A.
- Reducing Underreports of Behaviors in Retrospective Surveys: The Effects of Three Different Strategies...; 2016; Lugtig, P. J.; Glasner, T.; Boeve, A.
- Dropouts in Longitudinal Surveys; 2016; Lugtig, P. J.; De Leeuw, E. D.
- Online Surveys are Mixed-Device Surveys. Issues Associated with the Use of Different (Mobile) Devices...; 2016; Toepoel, V.; Lugtig, P. J.
- The Effects of Adding a Mobile-Compatible Design to the American Life Panel; 2015; Toepoel, V.; Lugtig, P. J.; Amin, A.
- Panel Attrition - Separating Stayers, Fast Attriters, Gradual Attriters, and Lurkers; 2014; Lugtig, P. J.
- Mixed-devices in a probability based panel survey. Effects on survey measurement error; 2014; Toepoel, V., Lugtig, P. J.
- Mobile devices a way to recruit hard-to-reach groups? Results from a pilot study comparing desk top...; 2013; Toepoel, V., Lugtig, P. J.
- Panel Attrition: Separating Stayers, Sleepers and Other Types of Drop-Out in an Internet Panel; 2013; Lugtig, P. J.
- “I think I know what you did last summer” Improving data quality in panel surveys; 2012; Lugtig, P. J.
- Using propensity score matching to separate mode- and selection effects; 2011; Lugtig, P. J., Lensvelt-Mulders, G. J.