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The cover of randomness: validating implicit methods for the study of sensitive topics
Charles Efferson1, Sonja Vogt1
1Faculty of Business and Economics, University of Lausanne, Lausanne, Switzerland.
Evolutionary Human Sciences
|March 13, 2025
Summary
Researchers validated methods for studying sensitive topics like female genital cutting and sex-selective abortion. Method validation for sex-selective abortion in Armenia was more convincing due to the inherent randomness of biological sex determination.
Area of Science:
- Social Sciences
- Public Health
- Demography
Background:
- Female genital cutting (FGC) in Sudan and sex-selective abortion (SSA) in Armenia are sensitive research topics.
- Previous research developed and applied novel methods to study these practices.
Purpose of the Study:
- To compare and validate the distinct but overlapping methods used for studying FGC in Sudan and SSA in Armenia.
- To re-evaluate previous findings using previously unpublished data from Sudan.
Main Methods:
- Comparative analysis of distinct but overlapping research methodologies.
- Replication of previous analyses with new data from Sudan.
- Validation assessment based on the nature of the sensitive topic and data collection challenges.
Main Results:
- All previously published findings were replicated, including those related to method validation.
- Method validation for studying SSA in Armenia was deemed more convincing than for FGC in Sudan.
- The inherent randomness of biological sex determination facilitates the study of son bias compared to FGC.
Conclusions:
- The study successfully validated research methods for sensitive demographic and health issues.
- The inherent randomness of biological sex determination offers a methodological advantage for studying son bias.
- Validation of research methods is crucial for reliable data on sensitive topics like FGC and SSA.
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