Evidence map›Paper›PMID 38371104›Full record

ArticleCureus2024

Nursing Students' Perspectives on Academic Dishonesty During Examinations and Assignments: A Cross-Sectional Study.

Abdullah M Alotaibi, Jazi S Alotaibi, Wdad Alanazy, Mohammed Alqahtani, Gopal Nambi, Mohammad Shaphe, Mohammad Miraj, Faizan Kashoo

Erratum issuedOpen access · diamondAbstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
3.7field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 7 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 2 countries.

Abdullah M AlotaibiDepartment of Nursing, Majmaah University, Riyadh, SAU.
Jazi S AlotaibiDepartment of Nursing, Majmaah University, Riyadh, SAU.
Wdad AlanazyDepartment of Nursing, Majmaah University, Riyadh, SAU.
Mohammed AlqahtaniDepartment of Nursing, King Faisal University, Riyadh, SAU.
Gopal NambiDepartment of Physical Therapy, Prince Sattam Bin Abdul Aziz University, Al Karj, SAU.
Mohammad ShapheDepartment of Physical Therapy, Jazan University, Jazan, SAU.
Mohammad MirajDepartment of Physical Therapy and Health Rehabilitation, Majmaah University, Majmaah, SAU.
Faizan KashooDepartment of Physical Therapy and Health Rehabilitation, Majmaah University, Riyadh, SAU.
Jazan University · SAPrince Sattam Bin Abdulaziz University · SAKing Faisal University · SAMajmaah University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and objective Academic dishonesty or misconduct among nursing students is a crucial concern within educational institutions. In nursing education, academic dishonesty hinders the development of knowledge and skills among students, thereby jeopardizing both patient safety and the effectiveness of clinical practice. This study aimed to assess the prevalence and forms of academic dishonesty among nursing students in Saudi Arabia. Methodology The participants comprised 482 nursing students from two governmental universities in Saudi Arabia. A newly developed self-reported questionnaire was used to collect data on academic dishonesty, comprising two distinct sections: a 16-item Academic Dishonesty Questionnaire during examinations and an 11-item Academic Dishonesty Questionnaire related to assignments. Results A one-sample binomial test indicates a significant proportion of students engaging in at least one form of academic dishonesty (

Indexed as

academic cheatingacademic dishonestyacademic ethicsacademic integritycheating behaviorcross-sectional studynursing students

Identifiers

PMID38371104
PMCPMC10870092
OpenAlexW4390950553

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.