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披露风险、披露危害、主题敏感性和调查参与度的实验研究。

Experimental Studies of Disclosure Risk, Disclosure Harm, Topic Sensitivity, and Survey Participation.

作者信息

Couper Mick P, Singer Eleanor, Conrad Frederick G, Groves Robert M

机构信息

Survey Research Center, Institute for Social Research, University of Michigan, P.O. Box 1248, Ann Arbor, MI 48106-1248, U.S.A.

出版信息

J Off Stat. 2010 Jun;26(2):287-300.

PMID:21765576
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3134940/
Abstract

This article extends earlier work (Couper et al. 2008) that explores how survey topic and risk of identity and attribute disclosure, along with mention of possible harms resulting from such disclosure, affect survey participation. The first study uses web-based vignettes to examine respondents' expressed willingness to participate in the hypothetical surveys described, whereas the second study uses a mail survey to examine actual participation. Results are consistent with the earlier experiments. In general, we find that under normal survey conditions, specific information about the risk of identity or attribute disclosure influences neither respondents' expressed willingness to participate in a hypothetical survey nor their actual participation in a real survey. However, when the possible harm resulting from disclosure is made explicit, the effect on response becomes significant. In addition, sensitivity of the survey topic is a consistent and strong predictor of both expressed willingness to participate and actual participation.

摘要

本文扩展了早期的研究工作(库珀等人,2008年),该研究探讨了调查主题、身份和属性披露风险,以及提及此类披露可能导致的危害如何影响调查参与度。第一项研究使用基于网络的小插曲来检验受访者表示愿意参与所描述的假设性调查的程度,而第二项研究则使用邮件调查来检验实际参与情况。结果与早期实验一致。总体而言,我们发现,在正常调查条件下,关于身份或属性披露风险的具体信息既不会影响受访者表示愿意参与假设性调查的意愿,也不会影响他们实际参与真实调查的情况。然而,当披露可能导致的危害被明确指出时,对回复的影响就会变得显著。此外,调查主题的敏感性是表示愿意参与和实际参与的一致且有力的预测指标。

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J Off Stat. 2008;24(2):255-275.
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The role of numeracy in informed consent for surveys.算术能力在调查知情同意中的作用。
J Empir Res Hum Res Ethics. 2009 Dec;4(4):17-26. doi: 10.1525/jer.2009.4.4.17.
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共享通过智能手机传感器收集的数据:意愿、参与情况及不参与偏差。
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Harnessing health plan enrollee data to boost membership in patient-powered research networks.利用健康计划参保者数据,增加患者驱动研究网络的成员数量。
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