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Related Experiment Video

Updated: Jun 14, 2025

The Modified Temptation Resistance Task: A Paradigm to Elicit Children's Strategic Lie-telling

The Modified Temptation Resistance Task: A Paradigm to Elicit Children's Strategic Lie-telling

Published on: April 6, 2018

Modeling Evasive Response Bias in Randomized Response: Cheater Detection Versus Self-protective No-Saying.

Khadiga H A Sayed^1,2, Maarten J L F Cruyff³, Peter G M van der Heijden^3,4

¹Department of Methodology and Statistics, Utrecht University, Padualaan 14, 3584 CH, Utrecht, The Netherlands. k.h.a.sayed@uu.nl.

|August 30, 2024

Summary

This study introduces new models for the "ever/last year" randomized response design to better account for evasive answers in sensitive surveys. These advanced statistical models improve data accuracy for sensitive topics like doping use.

Keywords:

anabolics doping ever/last year sensitive questions

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Last Updated: Jun 14, 2025

The Modified Temptation Resistance Task: A Paradigm to Elicit Children's Strategic Lie-telling

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Published on: April 6, 2018

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Area of Science:

Statistics
Survey Methodology
Social Sciences

Background:

Randomized response techniques (RRT) aim to reduce bias in sensitive surveys.
Existing models (cheater detection, self-protective no sayers) partially address evasive responses.
A need exists for models that integrate different bias types within novel RRT designs.

Purpose of the Study:

To establish the correspondence between existing RRT bias models.
To develop and introduce new statistical models for the hybrid "ever/last year" RRT design.
To account for both self-protective no-saying and cheating behaviors in the "ever/last year" design.

Main Methods:

Demonstrated the correspondence between the cheater detection and self-protective no sayers models.
Developed novel statistical models for the "ever/last year" RRT design, including extensions.
Utilized two empirical surveys on doping use to illustrate the proposed models.

Main Results:

The proposed models for the "ever/last year" design allow for the inclusion of response bias parameters.
Models with increased degrees of freedom were developed for more complex "ever/last year" designs.
The models effectively illustrated bias patterns in doping use surveys.

Conclusions:

The "ever/last year" design offers a flexible approach to studying sensitive topics.
The developed models enhance the ability to quantify and correct for response biases in RRT.
This research provides a foundation for future methodological advancements in sensitive survey research.