Estimating Prevalence of Sexual Abuse by an Acquaintance with an Optional Unrelated Question RRT Model
- Anu Chhabra (University of Delhi, Delhi)
- BK Dass (University of Delhi)
- Sat Gupta (The University of North Carolina at Greensboro, Greensboro, USA)
Abstract
The main focus of this paper is on validating an Optional Unrelated Question RRT Model using real survey data. The model to be used in this study is designed to simultaneously estimate the mean of a sensitive variable and the sensitivity level of the underlying sensitive question without using the traditional split sample approach. The data were collected via a survey conducted by the authors on a sample of undergraduate female students in the age group of 17-21 years at a college of University of Delhi, India, in January 2015. The binary research question of interest was "Have you ever been a victim of sexual abuse by friend or family member?" and the quantitative research question was "How many days in a typical month do you watch pornographic clips/videos/movies on movie channels, WhatsApp, YouTube, Internet etc.?"
Keywords: Estimation, Optional Unrelated Question Randomized Response Models, Sample Surveys, Sexual Abuse.
How to Cite:
Chhabra, A., Dass, B. & Gupta, S., (2016) “Estimating Prevalence of Sexual Abuse by an Acquaintance with an Optional Unrelated Question RRT Model”, North Carolina Journal of Mathematics and Statistics 2(1).
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