Durham Research Methods Cafe

Talk by Professor Sat Gupta, Professor of Statistics at the University of North Carolina at Greensboro, USA.

Talk Title: Field Validation of Mixture Binary Randomized Response Technique Models:  Analyzing Prevalence, Trust, and Measurement Error in Sensitive Trait Estimation.

Abstract: 

This study attempts to validate theoretical findings on Mixture Binary Randomized Response Technique (RRT) models through field data collected at the University of Delhi and Lahore College for Women University. The sensitive question of interest was if students have experienced depression that was significant enough to seek professional help. Employing direct questioning and the Meche et al. (2024) RRT model, we measured the prevalence of depression, participant trust in the RRT methodology, and measurement error caused by the randomization process. Results at Delhi University indicate that RRT estimates align closely with drop box method but offers enhanced privacy protection and respondent honesty. This was not true at the Lahore College. The findings highlight the need to take proper care when using a complex RRT model in field surveys.

This work is funded by a National Science Foundation Grant (DMS-2244160)

All PGR/PGT students and DU staff welcome!

This Café conversation will be in-person!

Coffee, tea & light bites served!

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Co-hosts:

Advanced Research Computing (ARC)
Durham Research Methods Centre (DRMC)
Research Data Management, Durham Library