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The multidimensional randomized response design: Estimating different aspects of the same sensitive behavior

Authors :
Cruyff, Maarten J. L. F.
Bockenholt, Ulf
van der Heijden, Peter G. M.
Cruyff, Maarten J. L. F.
Bockenholt, Ulf
van der Heijden, Peter G. M.
Source :
Behavior Research Methods vol.48 (2016) nr.1 p.390-399 [ISSN 1554-351X]
Publication Year :
2016

Abstract

The conventional randomized response design is unidimensional in the sense that it measures a single dimension of a sensitive attribute, like its prevalence, frequency, magnitude, or duration. This paper introduces a multidimensional design characterized by categorical questions that each measure a different aspect of the same sensitive attribute. The benefits of the multidimensional design are (i) a substantial gain in power and efficiency, and the potential to (i i) evaluate the goodness-of-fit of the model, and (i i i) test hypotheses about evasive response biases in case of a misfit. The method is illustrated for a two-dimensional design measuring both the prevalence and the magnitude of social security fraud.

Details

Database :
OAIster
Journal :
Behavior Research Methods vol.48 (2016) nr.1 p.390-399 [ISSN 1554-351X]
Notes :
DOI: 10.3758/s13428-015-0583-2, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1445792699
Document Type :
Electronic Resource