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Repeated cross-sectional randomized response data

Record type: Article

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.

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Citation

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).

More information

Published date: 2009
Keywords: linear trend, longitudinal data, misclassification, randomized response, repeated cross-sections, self-protective responses
Organisations: Statistical Sciences Research Institute

Identifiers

Local EPrints ID: 344672
URI: http://eprints.soton.ac.uk/id/eprint/344672
ISSN: 1614-1881
PURE UUID: 51be9a02-888a-418f-b369-c00651afca7b

Catalogue record

Date deposited: 26 Oct 2012 13:30
Last modified: 18 Jul 2017 05:14

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Contributors

Author: L.E. Frank
Author: A. van den Hout

University divisions


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