Collecting "Sensitive" Data in Business Ethics Research: A Case for the Unmatched Count Technique (UCT)

被引:0
作者
Dan R. Dalton
Catherine M. Daily
James C. Wimbush
机构
[1] Indiana University,Department of Management, Graduate School of Business
来源
Journal of Business Ethics | 1997年 / 16卷
关键词
Economic Growth; Ethic Research; Business Ethic; Empirical Approach; Sensitive Data;
D O I
暂无
中图分类号
学科分类号
摘要
Some would argue that the more promising areas of business ethics research are "sensitive." In such areas, it would be expected that subjects, if inclined to respond at all, would be guarded in their responses, or respond inaccurately. We provide an introduction to an empirical approach -- the unmatched block count (UCT) -- for collecting these potentially sensitive data which provides absolute anonymity and confidentiality to subjects and "legal immunity" to the researcher. Interestingly, under UCT protocol researchers could not divulge subjects' responses even if they were inclined to do so. Beyond that, UCTs provide complete disclosure to subjects and there is no deception.
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页码:1049 / 1057
页数:8
相关论文
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