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

Maarten J.L.F. Cruyff*, Ulf Böckenholt, Peter G.M. van der Heijden

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)390-399
Number of pages10
JournalBehavior Research Methods
Volume48
Issue number1
DOIs
StatePublished - Mar 1 2016

Keywords

  • Efficiency
  • Power
  • Randomized response
  • Response bias

ASJC Scopus subject areas

  • Experimental and Cognitive Psychology
  • Developmental and Educational Psychology
  • Arts and Humanities (miscellaneous)
  • Psychology (miscellaneous)
  • Psychology(all)

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