Web Survey Bibliography
Assessing the impact of mode effects on survey estimates has become a crucial question due to the increasing appeal 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 affects may sometimes be large relative to the precision. 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 the 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 Labour Force Survey.
Statistics Netherlands (abstract) / (full text)
Web survey bibliography - Statistics Netherlands (11)
- Establishing the accuracy of online panels for survey research; 2016; Bruggen, E.; van den Brakel, J.; Krosnick, J. A.
- Predictive inference for non-probability samples: a simulation study ; 2016; Buelens, B.; Burger, J.; van den Brakel, J.
- The use of within-subject experiments for estimating measurement effects in mixed-mode surveys ; 2014; Klausch, L. T., Schouten, B., Hox, J.
- Measuring well-being: An analysis of different response scales; 2014; van Beuningen, J., van der Houwen, K., Moonen, L.
- The impact of contact effort and interviewer performance on mode-specific nonresponse and measurement...; 2014; Schouten, B., Cobben, F., van der Laan, J., Arends, J.
- Adaptive survey designs to minimize survey mode effects. A case study on the Dutch Labour Force Survey...; 2013; Calinescu, M., Schouten, B.
- Using response probabilities for assessing representativity; 2012; Bethlehem, J.
- Disentangling Mode-Specific Selection and Measurement Bias in Social Surveys; 2012; Buelens, B., van der Laan, J., Schouten, B., Klausch, L. T., van der Brakel, J., Burger, J.
- Inference in surveys with sequential mixed-mode data collection; 2011; Buelens, B., van der Brakel, J.
- The rise of survey sampling; 2009; Bethlehem, J.
- How accurate are self-selection web surveys?; 2008; Bethlehem, J.