Events

Randomized Response Technique (RRT) Research – My Recent Contributions and Ongoing Work

Sat Gupta

University of North Carolina at Greensboro
Colloquia
https://mathstats.uncg.edu/people/directory/gupta/

When

Date: Wednesday, February 3, 2021
Time: 4:00 pm - 5:00 pm
Location: Virtual through Zoom
Professor Sat Gupta is a Professor and Head in the Department of Mathematics and Statistics at UNCG. He is a Fellow of the American Statistical Association and a recipient of the UNCG Senior Research Excellence Award (2017) and the College Senior Teaching Excellence Award (2018). He is also the winner of the Sankhyiki Bhushan Award (person of eminence in statistics) from the Indian Society of Agricultural Statistics (2016). Professor Gupta has several external grant awards to his credit including being a PI on an ongoing 3-year NSF Award for a REU program in statistics. He serves as the Editor-in-Chief for the Journal of Statistical Theory and Practice published by Springer.

Abstract:

RRT is an important survey technique that is used when the survey involves sensitive questions. It allows respondents to provide scrambled responses using a random scrambler. The researcher can later unscramble the responses at an aggregate level but not at the individual level. RRT research started with a landmark paper by Warner (1965, JASA). Since then, many contributions have been made in RRT research. In this talk, my focus will be on highlighting some of the contributions we have made in this area, with special emphasis on Optional RRT Models, Respondent Privacy, and Model Efficiency. We will also talk about some ongoing work.

RRT models have applications in many fields, particularly in Psychology, Sociology, Criminology, and Health Sciences. These models are also useful in adding a layer of confidentiality before public release of sensitive data.