模拟随机响应中的逃避反应偏差:作弊者检测与自我保护的不说话
Khadiga H A Sayed1,2, Maarten J L F Cruyff3, Peter G M van der Heijden3,4
1Department of Methodology and Statistics, Utrecht University, Padualaan 14, 3584 CH, Utrecht, The Netherlands. k.h.a.sayed@uu.nl.
Psychometrika
|August 30, 2024
概括
本研究引入了"以前/去年"随机响应设计的新模型,以更好地考虑敏感调查中的逃避答案. 这些先进的统计模型提高了对兴奋剂使用等敏感主题的数据准确性.
科学领域:
- 统计 统计 统计 统计
- 调查方法 调查方法
- 社会科学 社会科学 社会科学
背景情况:
- 随机响应技术 (RRT) 旨在减少敏感调查中的偏见.
- 现有的模型 (作弊者检测,自我保护的不说话者) 部分解决了逃避反应.
- 需要在新型RRT设计中整合不同偏差类型的模型.
研究的目的:
- 建立现有的RRT偏差模型之间的对应.
- 开发和引入新的统计模型,用于混合"永远/去年"RRT设计.
- 为了在"永远/去年"的设计中解释自我保护的不说话和作弊行为.
主要方法:
- 证明了作弊者检测和自我保护无言者模型之间的对应性.
- 开发了新的统计模型,用于"以前/去年"的RRT设计,包括扩展.
- 利用两项关于兴奋剂使用的经验调查来说明拟议的模型.
主要成果:
- 对于"曾经/去年"设计的拟议模型允许包含响应偏差参数.
- 为了更复杂的"永远/去年"设计,开发了具有更高自由度的模型.
- 这些模型有效地说明了兴奋剂使用调查中的偏见模式.
结论:
- "一直/去年"的设计为研究敏感主题提供了灵活的方法.
- 开发的模型提高了量化和纠正RRT响应偏差的能力.
- 这项研究为敏感调查研究的未来方法论进步提供了基础.
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