Evidence map›Paper›PMID 38756584›Full record

ArticleHeliyon2024

Cyberbullying among secondary school students: Analyzing prediction and relationship with background, social status, and ICT use.

Chutima Suraseth, Prakob Koraneekij

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

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

2 authors.

Chutima SurasethDepartment of Educational Research and Psychology, Faculty of Education, Chulalongkorn University, Thailand.
Prakob KoraneekijCenter of Excellence in Educational Invention and Innovation, Department of Educational Technology and Communications, Faculty of Education, Chulalongkorn University, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study explored the predictions of and relationships between background, social status, and the use of information and communication technology (ICT) in cyberbullying among 2430 secondary school students from schools affiliated with Thailand's Office of the Basic Education Commission. The stratified sampling method was used along with the Cyberbullying Questionnaire, Sociometric Status Questionnaire, Perceived Popularity Questionnaire, and ICT Use Questionnaire and data were collected through the CU Smart Sociometry web application and Google Forms. Data analysis was conducted to determine 1) demographic data using descriptive statistics; 2) correlation analysis of students' backgrounds, sociometric status, and ICT use against cyberbullying using the chi-square test; and 3) variables that predict cyberbullying among secondary school students using multinomial logistic regression. Results showed a link between cyberbullying and secondary school students' backgrounds, social status, and ICT use. Students with different backgrounds (sex and academic performance), social statuses (social preference and perceived popularity), and ICT use partook in different cyberbullying roles. Independent variables of sex, academic performance, social preference, perceived popularity, and ICT use all predicted cyberbullying by 33.3 % with statistical significance. Male students were noted to have a higher likelihood of being cyberbullies than female students, whereas female students were more likely to be cybervictims and bystanders. Moreover, students with low academic performance were more likely to be cyberbullies and cybervictims than high-performing students, with rejected students having the highest likelihood of being cyberbullies. Interestingly, the higher a student's popularity, the higher was their likelihood of being cyberbullies. Finally, cyberbullies had the highest average daily internet use, and students who had never had their guardians monitor their internet usage were more likely to be cyberbullies; students with moderate and good social media behavior were mostly bystanders.

Indexed as

CyberbullyingICT useInternet usePerceived popularitySecondary school studentsSocial media useSocial preferenceSocial status

Identifiers

PMID38756584
PMCPMC11096923

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.