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在随机反应中建模逃避反应偏差:骗子检测与自我保护的不说。

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

机构信息

Department of Methodology and Statistics, Utrecht University, Padualaan 14, 3584 CH, Utrecht, The Netherlands.

Department of Statistics, Faculty of Economics and Political Science, Cairo University, Cairo, Egypt.

出版信息

Psychometrika. 2024 Dec;89(4):1261-1279. doi: 10.1007/s11336-024-10000-x. Epub 2024 Aug 30.

DOI:10.1007/s11336-024-10000-x
PMID:39212867
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11582306/
Abstract

Randomized response is an interview technique for sensitive questions designed to eliminate evasive response bias. Since this elimination is only partially successful, two models have been proposed for modeling evasive response bias: the cheater detection model for a design with two sub-samples with different randomization probabilities and the self-protective no sayers model for a design with multiple sensitive questions. This paper shows the correspondence between these models, and introduces models for the new, hybrid "ever/last year" design that account for self-protective no saying and cheating. The model for one set of ever/last year questions has a degree of freedom that can be used for the inclusion of a response bias parameter. Models with multiple degrees of freedom are introduced for extensions of the design with a third randomized response question and a second set of ever/last year questions. The models are illustrated with two surveys on doping use. We conclude with a discussion of the pros and cons of the ever/last year design and its potential for future research.

摘要

随机响应是一种用于敏感问题的访谈技术,旨在消除回避反应偏差。由于这种消除只是部分成功的,因此已经提出了两种用于建模回避反应偏差的模型:对于具有两个不同随机化概率的子样本的设计的骗子检测模型,以及对于具有多个敏感问题的设计的自我保护不说者模型。本文展示了这些模型之间的对应关系,并介绍了用于新的混合“曾经/去年”设计的模型,该设计考虑了自我保护不说和欺骗。一组曾经/去年问题的模型具有一个自由度,可以用于包含反应偏差参数。对于具有第三个随机响应问题和第二组曾经/去年问题的设计扩展,引入了具有多个自由度的模型。这些模型通过两个关于兴奋剂使用的调查进行了说明。最后,我们讨论了曾经/去年设计的优缺点及其对未来研究的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/32a9/11582306/f4f650ae5b5e/11336_2024_10000_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/32a9/11582306/f4f650ae5b5e/11336_2024_10000_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/32a9/11582306/f4f650ae5b5e/11336_2024_10000_Fig1_HTML.jpg

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本文引用的文献

1
The analysis of randomized response "ever" and "last year" questions: A non-saturated Multinomial model.随机反应“曾经”和“去年”问题的分析:一种非饱和多项模型。
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2
Recreational Athletes' Use of Performance-Enhancing Substances: Results from the First European Randomized Response Technique Survey.业余运动员使用提高成绩的物质:欧洲首次随机应答技术调查结果
Sports Med Open. 2023 Jan 8;9(1):1. doi: 10.1186/s40798-022-00548-2.
3
Refinement of the extended crosswise model with a number sequence randomizer: Evidence from three different studies in the UK.
扩展的横向模型与数字序列随机化器的精细化:来自英国三项不同研究的证据。
PLoS One. 2022 Dec 30;17(12):e0279741. doi: 10.1371/journal.pone.0279741. eCollection 2022.
4
Hidden figures: Revisiting doping prevalence estimates previously reported for two major international sport events in the context of further empirical evidence and the extant literature.隐藏的数据:在更多实证证据和现有文献的背景下,重新审视先前报道的两项重大国际体育赛事的兴奋剂使用流行率估计。
Front Sports Act Living. 2022 Dec 5;4:1017329. doi: 10.3389/fspor.2022.1017329. eCollection 2022.
5
More than random responding: Empirical evidence for the validity of the (Extended) Crosswise Model.不只是随机反应:(扩展)纵横交叉模型有效性的实证证据。
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