Web Survey Bibliography
The estimation of measurement effects (MEs) of survey modes in the presence of selection bias poses a great problem to methodologists. In practice, unit nonresponse is often assumed to be ignorable (MAR) conditional on socio-demographic auxiliary data for lack of other sample-level information. Since socio-demographics commonly are only weakly related to target variables or selection mechanisms this assumption often may not hold true.
We present a new method to estimate MEs by means of “within-subject designs”, in which the same sample is approached by two different modes at two subsequent points in time. This design allows ignoring nonresponse on repeatedly measured target variables implying weaker MAR assumptions, because repeated target variables typically are strongly related. Further assumptions of this design are discussed in detail, in particular (a) time-stability of target variables and response probabilities and (b) the independence of measurement occasions. In extensions of simple within-subject designs, an independent control group, to which the same mode is assigned at both occasions, is useful to test these assumptions and adjust for time-instability.
Reports, seminars
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.