Improving Consistency for DIT Results Using Cluster Analysis

Journal of Business Ethics 80 (3):499-514 (2008)
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Abstract

In this article, cluster analysis is used to explore the conflicting results reported when the Defining Issues Test is used to explain moral reasoning ability in business situations. Using a convenience sample, gender, age, work experience, and ethics training were examined to determine their impact on the level of moral reasoning ability as measured by the Defining Issues Test. Using the whole sample, a significant difference was found for average P scores reported for males and females, but no significant differences were found based on age, work experience, and ethics training. However, the sample fell into distinct clusters that identified distinct male and female groupings. While females naturally fell into two distinct high- and low-moral reasoning ability clusters, male clusters were dominated more by work experience and ethics training. Clearly there are other factors mitigating the level of moral reasoning ability for males which require further exploration. The findings suggest that while the P score provides an initial point of comparison, the real benefit to the test is in exploring what is different for males and females in terms of training needs, and the impact of work experience on the moral reasoning ability, and most importantly, how to make ethics training enticing. Recommendations for future research are also discussed.

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References found in this work

The measurement of moral judgment.Anne Colby - 1987 - New York: Cambridge University Press. Edited by Lawrence Kohlberg.
Summary: What's possible.James R. Rest & Darcia Narvaez - 1994 - In James R. Rest & Darcia Narváez (eds.), Moral Development in the Professions: Psychology and Applied Ethics. L. Erlbaum Associates.

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