Knowledge and practices about research integrity among Peruvian university students
Agueda Muñoz-Del-Carpio-Toia1, Hardy Erick Guerra-Pérez2, Lucía Begazo-Muñoz-Del-Carpio3
1Vicerrectorado de Investigación; Escuela de Postgrado, Universidad Católica de Santa María, Arequipa, Peru. amunozde@ucsm.edu.pe.
Background:
Lately, the misconduct in research among scientist has been escalating. The use of artificial intelligence has been converted in a double ace card, on one side it has simplificated the way of obtaining valious data for researchers in an easy way, but in the other hand, has promoted that researchers became careless about the scientific method. This situation has become a problem among university teachers since the students are tempt to obtain results in an easy way, leaving ethics aside. The objective of the study was to determine the knowledge and practices regarding scientific integrity among university students in Peru.
Methods:
A descriptive cross-sectional quantitative study was conducted, applying a validated survey on knowledge and practices regarding scientific integrity to 1,420 university students in the Southern Region of Peru, with 60.85% being women. The questionnaire consisted of 21 questions, and data were analysed using descriptive and inferential statistics. Robust statistics were applied, and comparisons were made based on gender, age, and region. Ages ranged from 17 to 29 years (M = 21.14, SD = 2.72).
Results:
The majority demonstrated high levels of knowledge and regular levels of practices regarding scientific integrity. Statistically significant differences were found based on gender (women > men), age (older than 23 years > younger than 22 years), and region. Inappropriate practices were identified in the use of artificial intelligence in academic work.
Conclusions:
It was concluded that university students have high levels of knowledge regarding scientific integrity; however, they exhibit regular and low levels of application in research projects.
More Related Videos
13:44Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
Published on: December 9, 2022
10:39Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning
Published on: August 29, 2025
Related Concept Videos
Ethics in Research
Surveys
Ethical Standards II
Nurses are entrusted with upholding various ethical principles and standards. Nurses forge solid therapeutic relationships using trust, empathy, autonomy, confidentiality, and professional competence.
Confidentiality is crucial, embodying respect for individual privacy...
Systematic Error: Methodological and Sampling Errors
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
Psychology as a Science
The scientific method in psychology involves six critical steps: making observations, formulating hypotheses, conducting tests, analyzing...
Ethical Standards I
The Code of Ethics provisions outline the nurse's duty to the patient, the healthcare team, the profession, and society. The Code's fundamental principles include advocacy,...
