A Field Test of a Mixture Binary Randomized Response Model to Estimate the Prevalence of a Sensitive Characteristic in the Finite Population
Abstract
The objective of this paper is to validate a mixture binary randomized response model given in Lovig et al. (2021) through field work. The survey was conducted on students in the age group of 17-21 of a college affiliated to the University of Delhi, India. The students were asked two binary response questions, viz., ‘Have you had a troubled childhood?’ and ‘Do you trust the model?’. The first question is the primary sensitive question and the latter question helps ascertain the proportion of respondents in the population who trust the randomized response technique model.
Keywords
Full Text:
PDFDisclaimer/Regarding indexing issue:
We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information. Also: DOI is paid service which provided by a third party. We never mentioned that we go for this for our any journal. However, journal have no objection if author go directly for this paid DOI service.