Web Survey Bibliography
Nonresponse in surveys may effect representativity, and therefore lead to biased estimates. A first step in exploring a possible lack of representativity is to estimate response probabilities. This paper proposes using the coefficient of variation of the response probabilities as an indicator for the lack of representativity. The usual approach for estimating response probabilities is by fitting a logit model. A drawback of this model is that it requires the values of the explanatory variables of the model to be known for all nonrespondents. This paper shows this condition can be relaxed by computing response probabilities from weights that have been obtained from some weighting adjustment technique.
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.