Research Details

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 (ii) evaluate the goodness-of-fit of the model, and (iii) 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.

Type

Article

Author(s)

Ulf Bockenholt, Maarten Cryuff, P.G.M.Vander Heijden

Date Published

2016

Citations

Bockenholt, Ulf, Maarten Cryuff, and P.G.M.Vander Heijden. 2016. The multidimensional randomized response design: Estimating different aspects of the same sensitive behavior. Behavioral Research methods, instruments, and comp.: 390-399.