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