Background: Nursing students sometimes engage in academically dishonest behaviors despite honor codes and policies. We believe that learning more about nursing students' perceptions of and engagement in academically dishonest behaviors will aid faculty in crafting more effective codes, policies, and educational modules.
Method: Baccalaureate nursing students from accredited programs across the nation were invited to participate in an online cross-sectional descriptive correlational survey. Data were analyzed using descriptive and correlational statistics.
Results: Nursing students do not perceive all academically dishonest behavior as dishonest. There is a positive relationship between perceptions of behaviors in the classroom and clinical setting. Students have higher rates of engagement in behaviors they do not perceive as dishonest. Those who engage in the behaviors considered dishonest have higher rates of rationalization.
Conclusion: Faculty need to delineate to students what behaviors are deemed dishonest in a course. Eliminating ambiguity has potential to reduce engagement in dishonest behavior. [J Nurs Educ. 2018;57(2):79-87.].
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http://dx.doi.org/10.3928/01484834-20180123-04 | DOI Listing |
Nurse Educ Today
January 2025
Shamir Academic School of Nursing, Hebrew University in Jerusalem, Israel; Ministry of Health, Israel. Electronic address:
Background: Academic dishonesty poses significant challenges in educational settings, particularly among nursing students. Efforts to mitigate this issue through pedagogical and technological approaches have seen limited success. Diverse theoretical explanations for academic dishonesty underscore the need for further exploration of this multifaceted phenomenon.
View Article and Find Full Text PDFJ Pers Soc Psychol
January 2025
Department of Psychology, University of Marburg.
A fundamental assumption about human behavior forming the backbone of trait theories is that, to some extent, individuals behave consistently across structurally comparable situations. However, especially for unethical behavior, the consistency assumption has been severely questioned, at least from the early 19th century onward. We provide a strict test of the consistency assumption for a prominent instance of unethical behavior-dishonesty-in a large ( = 1,916) and demographically diverse sample.
View Article and Find Full Text PDFSci Rep
January 2025
School of Psychology, South China Normal University, Guangzhou, 510631, China.
This study investigated whether honesty is a stable trait or varies depending on situational factors. Using a coin flip guessing paradigm with monetary rewards, 33 participants completed trials with rewards ranging from 0.01 to 3 yuan.
View Article and Find Full Text PDFEntropy (Basel)
November 2024
School of Economics and Management, East China Jiaotong University, Nanchang 330013, China.
In response to the widespread issue of fake comments on e-commerce platforms, this study aims to analyze and propose a blockchain-based solution to incentivize authentic user feedback and reduce the prevalence of fraudulent reviews. Specifically, this paper constructs a tripartite evolutionary game model between sellers, buyers, and e-commerce platforms to study the real comment mechanism of blockchain. The strategy evolution under different incentive factors is simulated using replication dynamic equation analysis and Matlab software simulation.
View Article and Find Full Text PDFHealthcare (Basel)
December 2024
Nursing Institute "Professor Radivoje Radić", Faculty of Dental Medicine and Health Osijek, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia.
Background/objectives: Numerous studies have examined nursing students' academic dishonesty; however, there is still a gap in understanding the predictors of such behavior. This study aimed to identify personal (intrapersonal and interpersonal) and contextual factors predicting nursing students' dishonesty during clinical training.
Methods: A two-phase, prospective, predictive study was conducted at a nursing faculty in Croatia.
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