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Experimental validation of specialized questioning techniques in conservation.

Harriet Ibbett1,2, Leejiah Dorward1,2, Asri A Dwiyahreni3

  • 1School of Natural Sciences, Bangor University, Bangor, UK.

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Summary

Specialized questioning techniques (SQTs) can reduce bias in conservation surveys, but understanding and comfort remain challenges. These methods show promise for sensitive topics like wildlife hunting, though context matters.

Keywords:
bean methodbiascrosswise modeldirect questionsmodelo transversalmétodo beanpreguntas directasrandomized response techniquesrompimiento de reglasrule breakingsensibilidadsensitivitysesgotécnica de conteo sin partécnicas de respuesta aleatoriaunmatched count technique交叉模型偏差敏感性无配对计数技术直接提问破坏规则豆子法随机回答技术

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Area of Science:

  • Social science research methods
  • Conservation behavior studies
  • Cross-cultural survey design

Background:

  • Conservation efforts increasingly use social science to understand human behavior.
  • Specialized Questioning Techniques (SQTs) aim to reduce bias in surveys, particularly for sensitive topics like conservation rule compliance.
  • Existing SQTs are often Western-centric, raising questions about their global applicability.

Purpose of the Study:

  • To validate the performance of four SQTs against direct questions for sensitive conservation topics.
  • To assess SQTs' suitability in diverse cultural and socioeconomic contexts (Indonesia and Tanzania).
  • To identify factors influencing respondent understanding and accuracy with SQTs.

Main Methods:

  • An experiment comparing four SQTs (unmatched count, randomized response, crosswise model, bean method) with direct questions on wildlife hunting.
  • Data collected from 609 individuals near protected areas in Indonesia and Tanzania.
  • Binomial general linear mixed models used for data analysis.

Main Results:

  • Participants were more likely to refuse answering SQTs; SQTs were harder to understand than direct questions.
  • Demographic factors like age and education influenced response accuracy.
  • SQTs (excluding the bean method) reduced sensitivity bias for wildlife hunting questions, but most respondents felt uncomfortable using them for personal reporting.

Conclusions:

  • SQTs can reduce bias in conservation surveys on sensitive topics, but their complexity and respondent comfort require careful consideration.
  • Assessing the suitability of social science methods in specific conservation contexts is crucial before implementation.
  • Further research is needed to improve SQT usability and encourage truthful reporting on sensitive behaviors.