Evidence map›Paper›PMID 41245338›Full record

ArticleFrontiers in psychology2025

Investigating the relationship between digital citizenship levels and cyberbullying attitudes of university students.

Metin Karayol, Talha Murathan, Ramazan Erdoğan, Mehmet Akarsu, Muhammet Baş, Göktuğ Norman

Abstract read
In one paragraph

Article in Frontiers in psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Metin KarayolDepartment of Sport Management, Faculty of Sport Sciences, Mus Alparslan University, Mus, Türkiye.
Talha MurathanDepartment of Sport Management, Faculty of Sport Sciences, Inonu University, Malatya, Türkiye.
Ramazan ErdoğanDepartment of Coach Education, Faculty of Sport Sciences, Munzur University, Tunceli, Türkiye.
Mehmet AkarsuDepartment of Sport Management, Faculty of Sport Sciences, Inonu University, Malatya, Türkiye.
Muhammet BaşDepartment of Physical Education and Sports, Faculty of Sport Sciences, Mus Alparslan University, Mus, Türkiye.
Göktuğ NormanDepartment of Sport Management, Faculty of Sport Sciences, Inonu University, Malatya, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study examines the relationship between the levels of digital citizenship and attitudes toward cyberbullying among prospective physical education and sports teachers. Methods: This quantitative study adopted the relational survey model within its research framework. The sample consists of prospective physical education and sports teachers who studied in the Physical Education and Sports Teaching departments at universities during the 2022-23 academic year. The sample was determined using the convenience sampling method. The sample was administered a personal information form created by the researchers, as well as the Digital Citizenship Scale and the Cyberbullying Attitude Scale. Results: According to the MANOVA results for the Digital Citizenship and Cyberbullying Attitude scales, significant differences were found in the Digital Law, Digital Rights and Responsibilities, Approval and Anxiety subscales based on gender. However, the Pearson correlation analysis revealed no significant relationship between age and the subscales of the Digital Citizenship and Cyberbullying Attitude scales. However, the Pearson correlation analysis of the Digital Citizenship and Cyberbullying Attitude subscales revealed significant positive and negative relationships. Conclusion: The results of the path analysis of the digital citizenship scale and its subscales (identity concealment, enjoyment, approval and anxiety) showed that digital citizenship significantly predicted identity concealment, enjoyment, approval and anxiety.

Indexed as

cyberbullyingdigital citizenshipinternet securityphysical education and sportsuse of technology

Identifiers

PMID41245338
PMCPMC12612747

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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.