Web Survey Bibliography
Title Adaptive survey designs to minimize survey mode effects – a case study on the Dutch Labor Force Survey
Author Calinescu, M.; Schouten, B.
Source Survey Practice 2015, 41 (2)
Year 2016
Access date 11.04.2016
Full text pdf (281 KB)
Abstract Assessing the impact of mode effects on survey estimates has become a crucial research objective due to the increasing use of mixed-mode designs. Despite the advantages of a mixed-mode design, such as lower costs and increased coverage, there is sufficient evidence that mode effects may be large relative to the precision of a survey. They may lead to incomparable statistics in time or over population subgroups and they may increase bias. Adaptive survey designs offer a flexible mathematical framework to obtain an optimal balance between survey quality and costs. In this paper, we employ adaptive designs in order to minimize mode effects. We illustrate our optimization model by means of a case-study on the Dutch Labor Force Survey. We focus on item-dependent mode effects and we evaluate the impact on survey quality by comparison to a gold standard.
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Year of publication2015
Bibliographic typeJournal article
Web survey bibliography - Survey Practice (65)
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- Adaptive survey designs to minimize survey mode effects – a case study on the Dutch Labor Force...; 2016; Calinescu, M.; Schouten, B.
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- Two Are Better Than One: The Use of a Mixed-Mode Data Collection to Improve the Electoral Forecast; 2014; de Rada, V. D., Pasadas del Amo, S.
- Recent Books and Journals in Public Opinion, Survey Methods, and Survey Statistics; 2014; Callegaro, M.
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- The Smartphone Way to Collect Survey Data; 2013; Stapleton, C.
- Measuring Compliance in Mobile Longitudinal Repeated-Measures Design Study; 2013; Link, M. W.
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- A Comparison of Data Quality Across Modes in a Mixed-Mode Collection of Administrative Records; 2013; Worthy, M., Mayclin, D.
- Reconceptualizing Survey Representativeness for Evaluating and Using Nonprobability Samples; 2013; Fan, D. P.
- To Click, Type, or Drag? Evaluating Speed of Survey Data Input Methods; 2013; Husser, J. A., Husser, J. A.
- The smart(phone) way to collect survey data; 2013; Stapleton, C.
- Do Mail and Internet Surveys Produce Different Item Nonresponse Rates? An Experiment Using Random Mode...; 2012; Millar, M. M., Dillman, D. A.
- Item Nonresponse in a Client Survey of the General Public; 2012; Israel, G. D., Lamm, A. J.
- Comparing Item Nonresponse across Different Delivery Modes in General Population Surveys; 2012; Lesser, V. M., Newton, L., Yang, D.
- Determinants of Item Nonresponse to Web and Mail Respondents in Three Address-Based Mixed-Mode Surveys...; 2012; Messer, B. L., Edwards, M. L., Dillman, D. A.
- Exploring Animated Faces Scales in Web Surveys: Drawbacks and Prospects; 2012; Emde, M., Fuchs, M.
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- Using Facebook to Locate Sample Members; 2011; Rhodes, B. B., Marks, E. L.
- Paradata in Survey Research; 2011; West, B. T.
- Towards Usage of Avatar Interviewers in Web Surveys; 2011; Jans, M., Malakhoff, L.
- Making Good Use of Survey Paradata; 2010; Lynn, P., Nicolaas, G.
- Multi-Mode and Method Experiment in a Study of Nurses; 2010; Friese, C. R., Lee, C. S., O'Brien, S., Crawford, S. D.
- An Experiment With an Employment Sector Question; 2010; Finno, A. A., Kohout, J.
- Lottery Incentives and Online Survey Response Rates; 2010; Preece, M. J., Johanson, G., Hitchcock, J.
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- Declining Working Phone Rates Impact Sample Efficiency; 2009; Piekarski, L.
- Using Non-Probability Samples for Confusion Surveys - Mall Intercepts and the Internet; 2009; Ericksen, E. P.