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31.

Introduction

Previous research suggests a link between academic cheating and corruption. However, no prior empirical studies examined this link with cross-cultural data.

Objective

The present study aims to fill this gap and it examines their link by considering cultural values such as in-group collectivism and economic background in terms of GDP per capita.

Method

Self-reported data were collected regarding collaborative academic cheating. The database of Transparency International was used for assessing the level of perceived corruption, and the in-group collectivism data was derived from the GLOBE study. Structural equation modeling was used in order to identify their relationship pattern.

Results

In the present study, using data from 40 countries, a strong relationship between self-reported academic cheating on exams and the country level of the corruption perception index was found. The present results also support evidence of a strong relationship between collaborative academic cheating and in-group collectivism in a sample comprising 30 countries. This link remains significant if GDP per capita, as an indicator of economic development, is controlled. However, path analysis showed that if both GDP per capita and in-group collectivism are considered, the link between corruption and cheating disappeared.

Conclusion

These results suggest that GDP per capita as an economy-related background variable and in-group collectivism as a societal value have independent effect on collaborative cheating and perceived corruption and these broader background variables can diminish the strong link between collaborative cheating and perceived corruption.  相似文献   
32.
The analytic method builds on honesty, specifically in the moment-to-moment events of the micro-process. Ferenczi was a researcher who experimented with the limits (including the limits of honesty) of the method to its extremes. Honesty is a moral virtue, and from that perspective all events and phenomena of the moment have an ethical aspect. Self-analysis—a prerequisite and an important component of the analytic stance—puts on trial the analyst’s capacity and willingness to be honest. This paper examines these ethical aspects in the micro-process and the unavoidable dilemmas connected with it. The important settings where self-analysis is used are: being in analysis, conducting analysis and in supervision. The limits of honesty in these settings are also discussed. Recently, case discussion groups have been playing an increasingly important role in analytic conferences and also in training. The risks and limits of honesty in case discussion groups deserve to be studied.  相似文献   
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