Refinement of the extended crosswise model with a number sequence randomizer: Evidence from three different studies in the UK.

Refinement of the extended crosswise model with a number sequence randomizer: Evidence from three different studies in the UK.

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The Extended Crosswise Model (ECWM) is a randomized response model with neutral response categories, relatively simple instructions, and the availability of a goodness-of-fit test.This paper refines vegas golden knights background this model with a number sequence randomizer that virtually precludes the possibility to give evasive responses.The motivation for developing this model stems from a strategic priority of WADA (World Anti-Doping Agency) to monitor the prevalence of doping use by elite athletes.

For this model we derived a maximum likelihood estimator that allows for binary logistic regression analysis.Three studies were conducted on online platforms with a total of over 6, 000 respondents; two on controlled substance use and one on compliance with COVID-19 regulations in the UK during the first lockdown.The read more results of these studies are promising.

The goodness-of-fit tests showed little to no evidence for response biases, and the ECWM yielded higher prevalence estimates than direct questions for sensitive questions, and similar ones for non-sensitive questions.Furthermore, the randomizer with the shortest number sequences yielded the smallest response error rates on a control question with known prevalence.