Collecting "Sensitive" Data in Business Ethics Research: A Case for the Unmatched Count Technique (UCT)
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 --...
| Authors: | ; ; |
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| Format: | Electronic Article |
| Language: | English |
| Check availability: | HBZ Gateway |
| Journals Online & Print: | Drawer...
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| Fernleihe: | Fernleihe für die Fachinformationsdienste |
| Published: |
Springer Science + Business Media B. V
1997
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| In: |
Journal of business ethics
Year: 1997, Volume: 16, Issue: 10, Pages: 1049-1057 |
| Further subjects: | B
Sensitive Data
B Empirical Approach B Business Ethic B Ethic Research B Economic Growth |
| Online Access: |
Volltext (JSTOR) Volltext (lizenzpflichtig) |
| Summary: | 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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| ISSN: | 1573-0697 |
| Contains: | Enthalten in: Journal of business ethics
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| Persistent identifiers: | DOI: 10.1023/A:1017917904743 |