Literature DB >> 25599108

Psychometric properties of the Florence CyberBullying-CyberVictimization Scales.

Benedetta Emanuela Palladino1, Annalaura Nocentini, Ersilia Menesini.   

Abstract

The present study tried to answer the research need for empirically validated and theoretically based instruments to assess cyberbullying and cybervictimization. The psychometric properties of the Florence CyberBullying-CyberVictimization Scales (FCBVSs) were analyzed in a sample of 1,142 adolescents (Mage=15.18 years; SD=1.12 years; 54.5% male). For both cybervictimization and cyberbullying, results support a gender invariant model involving 14 items and four factors covering four types of behaviors (written-verbal, visual, impersonation, and exclusion). The second-order confirmatory factor analysis confirmed that a "global," second-order measure of cyberbullying and cybervictimization fits the data well. Overall, the scales showed good validity (construct, concurrent, and convergent) and reliability (internal consistency and test-retest). In addition, using the global key question measure as a criterion, ROC analyses, determining the ability of a test to discriminate between groups, allowed us to identify cutoff points to classify respondents as involved/not involved starting from the continuum measure derived from the scales.

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Year:  2015        PMID: 25599108     DOI: 10.1089/cyber.2014.0366

Source DB:  PubMed          Journal:  Cyberpsychol Behav Soc Netw        ISSN: 2152-2715


  5 in total

1.  How many cyberbullying(s)? A non-unitary perspective for offensive online behaviours.

Authors:  Stefano Guidi; Paola Palmitesta; Margherita Bracci; Enrica Marchigiani; Ileana Di Pomponio; Oronzo Parlangeli
Journal:  PLoS One       Date:  2022-07-19       Impact factor: 3.752

2.  Triarchic Model Traits as Predictors of Bullying and Cyberbullying in Adolescence.

Authors:  Andrea Baroncelli; Emily R Perkins; Enrica Ciucci; Paul J Frick; Christopher J Patrick; Claudio Sica
Journal:  J Interpers Violence       Date:  2020-06-29

3.  Associations among Different Internet Access Time, Gender and Cyberbullying Behaviors in Taiwan's Adolescents.

Authors:  Cheng-Min Chao; Tai-Kuei Yu
Journal:  Front Psychol       Date:  2017-06-30

4.  How to Stop Victims' Suffering? Indirect Effects of an Anti-Bullying Program on Internalizing Symptoms.

Authors:  Benedetta Emanuela Palladino; Annalaura Nocentini; Ersilia Menesini
Journal:  Int J Environ Res Public Health       Date:  2019-07-23       Impact factor: 3.390

5.  Perceived Severity of Cyberbullying: Differences and Similarities across Four Countries.

Authors:  Benedetta E Palladino; Ersilia Menesini; Annalaura Nocentini; Piret Luik; Karin Naruskov; Zehra Ucanok; Aysun Dogan; Anja Schultze-Krumbholz; Markus Hess; Herbert Scheithauer
Journal:  Front Psychol       Date:  2017-09-20
  5 in total

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