Repeated cross-sectional randomized response data

Frank, L.E., van den Hout, A. and van der Heijden, P.G.M. (2009) Repeated cross-sectional randomized response data Methodology: European Journal of Research Methods for the Behavioral and Social Sciences, 5, (4), pp. 145-152. (doi:10.1027/1614-2241.5.4.145).


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Randomized response (RR) is an interview technique that can be used to protect the privacy of respondents if sensitive questions are posed. This paper explains how to measure change in time if a binary RR question is posed at several time points. In cross-sectional research settings, new insights often gradually emerge. In our setting, a switch to another RR procedure necessitates the development of a trend model that estimates the effect of the covariate time if the dependent variable is measured by different RR designs. We also demonstrate that it is possible to deal with self-protective responses, thus accommodating our trend model with the latest developments in RR data analysis.

Item Type: Article
Digital Object Identifier (DOI): doi:10.1027/1614-2241.5.4.145
ISSNs: 1614-1881 (print)
Keywords: linear trend, longitudinal data, misclassification, randomized response, repeated cross-sections, self-protective responses
Organisations: Statistical Sciences Research Institute
ePrint ID: 344672
Date :
Date Event
Date Deposited: 26 Oct 2012 13:30
Last Modified: 17 Apr 2017 16:26
Further Information:Google Scholar

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