| Literature DB >> 35010271 |
Giulia D'Aurizio1, Fabrizio Santoboni2, Francesca Pistoia1, Laura Mandolesi3, Giuseppe Curcio1.
Abstract
Moral reasoning and consequent decision making are central in the everyday life of all people, independent of their profession. It is undoubtedly crucial in the so-called "helping professions", when the professional through his/her decisions can support or not support others. Our study aimed to investigate whether academic training can play an essential role in influencing moral reasoning. We used three different conditions: 20 moral personal, 20 moral impersonal, and 20 nonmoral dilemmas to assessed differences in moral judgement between students of Economics, Medicine, and Psychology at their first year and at the end of university training. We observed a difference between school and year of course: psychology students showing more time when asked to read and answer the proposed questions. Moreover, medical students showed a significant increase in sensitiveness to moral issues as a function of academic ageing, whereas such a moral sense regressed from the first to the fifth year of academic training in other students. Gender was also relevant, with women showing an increased response and reading times compared to than men when asked to cope with moral decisions. This study shows that the main factor driving moral decision making is the faculty to which one is enrolled, significantly modulated by sex and academic seniority.Entities:
Keywords: decision making; ethical judgement; executive function; moral dilemma; university training
Mesh:
Year: 2021 PMID: 35010271 PMCID: PMC8750934 DOI: 10.3390/ijerph19010010
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Demographic information on the investigated sample (mean ± standard deviation).
| Total Sample | Age (N) | Sex | Age | |
|---|---|---|---|---|
| Psychology | 91 | 19.96 (±1.37) | M = 34 | 20.74 (±1.35) |
| Psychology | 85 | 24.7 (±2.89) | M = 23 | 25.9 (±3.8) |
| Economics | 85 | 19.38 (±1.15) | M = 31 | 19.26 (±0.82) |
| Economics | 85 | 24.41 (±1.30) | M = 42 | 24.58 (±1.32) |
| Medicine | 85 | 20.47 (±1.75) | M = 32 | 20.375 (±1.56) |
| Medicine | 85 | 25.3 (±3.52) | M = 39 | 25.85 (±4.16) |
Note: M = male; W = women.
Figure 1MANCOVA results on Type of Answer: significant main effect for school. Note: the y-axis shows the difference between the number of appropriate vs. inappropriate judgments.
Figure 2MANCOVA results on Type of Answer: significant interaction school x sex. Panel (A): males; panel (B): females. Note: the y-axis shows the difference between the number of appropriate vs. inappropriate judgments.
Figure 3MANCOVA results on Answer Time: significant main effect for school. Note: the y-axis shows the answer time (msec.).
Figure 4MANCOVA results on Answer Time: significant interaction school x year. Note: the y-axis shows the answer time (msec.).
Figure 5MANCOVA results on Reading Time: significant main effect for school. Note: the y-axis shows the Reading Time (msec.).
Figure 6MANCOVA results on Reading Time: significant main effect for sex. Note: the y-axis shows the Reading Time (msec.).
Figure 7MANCOVA results on Reading Time: significant interaction school x year. Note: the y-axis shows the Reading Time (msec.).