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 - Klausch, L. T. (18)
- Mixed Mode Research: Issues in Design and Analysis; 2016; Hox, J.; De Leeuw, E. D.; Klausch, L. T.
- A look into the challenges of mixed-mode surveys; 2016; Klausch, L. T.
- Tracking the Representativeness of an Online Panel Over Time ; 2016; Klausch, L. T.; Scherpenzeel, A.
- Selection error in single- and mixed mode surveys of the Dutch general population; 2015; Hox, J., Klausch, L. T., Schouten, B.
- Evaluating mixed-mode redesign strategies against benchmark surveys: the case of the Crime Victimization...; 2014; Klausch, L. T., Hox, J., Schouten, B.
- The use of within-subject experiments for estimating measurement effects in mixed-mode surveys ; 2014; Klausch, L. T., Schouten, B., Hox, J.
- Pret met panels [Fun online]; 2013; Roberts, A., de Leeuw, E. D., Hox, J., Klausch, L. T., de Jongh, A.
- Leuker kunnen wij het wel maken. Online vragenlijst design: standaard matrix of scrollmatrix (We can...; 2013; Roberts, A., de Leeuw, E. D., Hox, J., Klausch, L. T., de Jongh, A.
- Measurement Effects of Survey Mode on the Equivalence of Attitudinal Rating Scale Questions; 2013; Klausch, L. T., Hox, J., Hox, J., Schouten, B.
- Estimating Measurement Effects of Survey Modes From Between and Within Subject Designs; 2013; Klausch, L. T., Hox, J., Schouten, B.
- Design of Web Questionnaires: Matrix Questions or Single Question Formats ; 2012; de Leeuw, E. D., Hox, J., Klausch, L. T., Roberts, A., de Jongh, A.
- 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.
- Assessing Measurement Equivalence and Bias of Questions in Mixed-mode Surveys Under Controlled Sample...; 2012; Klausch, L. T., Hox, J., Schouten, B.
- The Representativity of Web Surveys of the General Population compared to Traditional Modes and Mixed...; 2012; Klausch, L. T., Schouten, B., Hox, J.
- Matrix vs. Single Question Formats in Web Surveys: Results from a large scale experiment; 2012; Klausch, L. T., de Leeuw, E. D., Hox, J., de Jongh, A., Roberts , A.
- Disentangling relative mode effects for the web survey mode in the Safety Monitor; 2011; Schouten, B., van de Brakel, J., Buelens, B., Klausch, L. T., van der Laan, J.
- Respondent Characteristics as Explanations for Uninformative Survey Response: Sources of Nondifferentiation...; 2011; Van Meurs, L., Klausch, L. T., Schoenbach, K.
- Testing between-mode measurement invariance under controlled selectivity conditions; 2011; Klausch, L. T.