CoChat
Sign Up
Cited by 238Bullying, Victimization, and AggressionHate Speech and Cyberbullying DetectionImpact of Technology on Adolescents

The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.

The Measurement of Cyberbullying: Dimensional Structure and Relative Item Severity and Discrimination

Menesini, Ersilia, Nocentini, Annalaura, Calussi, Pamela·2011·Cyberpsychology, Behavior, and Social Networking
DOI 10.1089/cyber.2010.0002
Open this paper in CoChat — free account

Abstract

In relation to a sample of 1,092 Italian adolescents (50.9% females), the present study aims to: (a) analyze the most parsimonious structure of the cyberbullying and cybervictimization construct in male and female Italian adolescents through confirmatory factor analysis; and (b) analyze the severity and the discrimination parameters of each act using the item response theory. Results showed that the structure of the cyberbullying scale for perpetrated and received behaviors in both genders could best be represented by a monodimensional model where each item lies on a continuum of severity of aggressive acts. For both genders, the less severe acts are silent/prank calls and insults on instant messaging, and the most severe acts are unpleasant pictures/photos on Web sites, phone pictures/photos/videos of intimate scenes, and phone pictures/photos/videos of violent scenes. The items nasty text messages, nasty or rude e-mails, insults on Web sites, insults in chatrooms, and insults on blogs range from moderate to high levels of severity. Regarding the discrimination level of the acts, several items emerged as good indicators at various levels of cyberbullying and cybervictimization severity, with the exception of silent/prank calls. Furthermore, gender specificities underlined that the visual items can be considered good indicators of severe cyberbullies and cybervictims only in males. This information can help in understanding better the nature of the phenomenon, its severity in a given population, and to plan more specific prevention and intervention strategies.

Overview

Integrity signals

Registry

Crossref · 10.1089/cyber.2010.0002

Cites

27 of 27 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Citations

Cites

Flagged first, then by citations

Show all 27 references

Research works printed but not linked: 6

  1. Schultze-Krumbholz A, 2009, Post Conference XIV ECDP
  2. Pyzalski J, 2009, Post Conference XIV ECDP
  3. Willard NE, 2007, Cyber bullying and cyber threats
  4. Menesini E, 2008, Cyber bullying and psychological health symptoms. Poster Workshop, XX Biennal Meeting ISSBD
  5. Muthén LK, 2006, MPlus user's guide version 4.1
  6. ISTAT (Italian Institute of Statistics), 2008, La vita quotidiana nel 2007

Cited by

Sorted by citations

Related

See all

Metadata

Authors
Menesini, E., Nocentini, A., & Calussi, P.
Affiliations
University of Florence (IT)
ORCID
Venue
Cyberpsychology, Behavior, and Social Networking
Publisher
SAGE Publications
Published
2011-05
Volume
14
Issue
5
Pages
267-274
ISSN
  • 2152-2715 (ISSN-L)
  • 2152-2723
DOI
10.1089/cyber.2010.0002
OpenAlex
W1988669746
Cited by
238
References
27
Citations by year
2026: 8 · 2025: 6 · 2024: 14 · 2023: 6 · 2022: 19 · 2021: 18 · 2020: 24 · 2019: 14 · 2018: 16 · 2017: 17 · 2016: 23 · 2015: 20 · 2014: 25 · 2013: 12 · 2012: 15
FWCI
23.13
Type
journal article
Language
en
Open access
closed
Licence
www.liebertpub.com/nv/resources-tools/text-and-data-mining-policy/121/ (tdm)
Locations
  • Cyberpsychology Behavior and Social Networking (publishedVersion)
  • PubMed (publishedVersion)
  • Florence Research (University of Florence) (submittedVersion)
Topics
  • Social Sciences › Psychology › Social Psychology › Bullying, Victimization, and Aggression
  • Physical Sciences › Computer Science › Artificial Intelligence › Hate Speech and Cyberbullying Detection
  • Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
Keywords
cyberbullying, cyber victimization, adolescents, item discrimination, gender differences, cyberbullying perpetration, Italian adolescents
MeSH terms
Adolescent, Aggression, Child, Female, Humans, Male, Social Environment, Internet, Electronic Mail, Bullying

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review