The analysis of randomized response “ever” and “last year” questions: A non-saturated Multinomial model

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Randomized response (RR) is a well-known interview technique designed to eliminate evasive response bias that arises from asking sensitive questions. The most frequently asked questions in RR are either whether respondents were “ever” carriers of the sensitive characteristic, or whether they were carriers in a recent period, for instance, “last year”. The present paper proposes a design in which both questions are asked, and derives a multinomial model for the joint analysis of these two questions. Compared to the separate analyses with the binomial model, the model makes a useful distinction between last year and former carriers of the sensitive characteristic, it is more efficient in estimating the prevalence of last year carriers, and it has a degree of freedom that allows for a goodness-of-fit test. Furthermore, it is easily extended to a multinomial logistic regression model to investigate the effects of covariates on the prevalence estimates. These benefits are illustrated in two studies on the use of anabolic androgenic steroids in the Netherlands, one using Kuk and one using both the Kuk and forced response. A salient result of our analyses is that the multinomial model provided ample evidence of response biases in the forced response condition.

Original languageEnglish
Pages (from-to)1335–1348
Number of pages14
JournalBehavior Research Methods
Volume56
Issue number3
Early online date10 May 2023
DOIs
Publication statusPublished - 2024

Keywords

  • Anabolic steroids
  • Efficiency
  • Forced response
  • Goodness-of-fit
  • Kuk model
  • Multinomial logistic
  • Randomized response
  • Response bias

Fingerprint

Dive into the research topics of 'The analysis of randomized response “ever” and “last year” questions: A non-saturated Multinomial model'. Together they form a unique fingerprint.

Cite this