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Examining conservation compliance with randomized response technique analyses.

Charlotte H Chang1,2, Maarten J L F Cruyff3, Xingli Giam4

  • 1Department of Ecology & Evolutionary Biology, Princeton University, 106A Guyot Hall, Princeton, NJ, 08544, U.S.A.

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Summary

This study introduces zapstRR, an R package for analyzing complex survey data on natural resource violations. It enables better estimation of conservation noncompliance and intervention impacts.

Keywords:
conservation compliancecumplimiento de la conservaciónindirect survey techniquesrandomized response techniquetécnica de respuesta aleatoriatécnicas de censo indirecto环保法违规间接提问的技巧方式随机应答技术

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Area of Science:

  • Conservation biology
  • Ecology
  • Environmental social science

Background:

  • Direct questioning on natural resource violations yields biased data.
  • Indirect questioning methods like the randomized response technique (RRT) offer solutions but require complex analysis.
  • Existing software for RRT data analysis is limited, especially for multivariate models.

Purpose of the Study:

  • To develop user-friendly software for analyzing RRT data.
  • To provide tools for estimating conservation noncompliance and intervention effects.
  • To facilitate the analysis of both single and multiple RRT questions.

Main Methods:

  • Development of the R package zapstRR (ZoologicAl Package for RRT).
  • Implementation of three RRT statistical models within the package.
  • Application of the package to case studies on illegal bird hunting and bushmeat consumption.

Main Results:

  • The zapstRR package offers functions for prevalence estimation, individual violation counts, and regression analysis.
  • The package can correct prevalence estimates for evasive-response bias.
  • Case studies demonstrate the utility of the models for uncovering distinct patterns in RRT data.

Conclusions:

  • zapstRR provides accessible tools for analyzing sensitive conservation-related survey data.
  • The package supports the estimation of noncompliance and the impact of conservation interventions.
  • Accurate analysis of RRT data is crucial for effective conservation management.