Görzig, Anke ORCID: https://orcid.org/0000-0002-7623-0836, Bedrosova, Marie and Machackova, Hana (2020) Do stereotypes of mental and developmental disorders predict bystander intentions in cyberbullying? An application of the stereotype content model. International Journal of Developmental Science, 13 (3-4). pp. 83-95. ISSN 2192-001X
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Görzig_Bedrosova_and_Machackova_IJoDS_2019_Do_stereotypes_of_mental_and_developmental_disorders_predict_bystander_intentions_in_cyberbullying_An_application_of_the_stereotype_content_model.pdf - Accepted Version Download (918kB) | Preview |
Abstract
It was investigated whether different types of mental or developmental disorders (MDD) would be rated differently in terms of stereotypic perceptions and behavioral tendencies and whether these effects of stereotypes on behaviors would be mediated via emotional responses in line with the stereotype content model (SCM). Furthermore, an experimental investigation sought to ascertain whether predictions about behavioral intentions of bystanders in a cyberbullying scenario towards a victim with MDD could be derived from the general behavioral tendencies as predicted by the SCM. Two-hundred-forty-eight undergraduate students (62% female) aged 18-35 (M=22.5) were randomly allocated to one of five conditions (anxiety, depression, schizophrenia, Asperger’s or control). Stereotypes, emotional and behavioral responses as well as bystander intentions were assessed. Results largely confirmed the general application of the SCM to MDD; however, this was not the case for bystander intentions in cyberbullying. Implications for the application of the SCM and methodological considerations are discussed.
Item Type: | Article |
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Identifier: | 10.3233/dev-190270 |
Additional Information: | Non-commercial use only |
Keywords: | cyberbullying, bystanders, stereotypes, discrimination, mental health |
Subjects: | Education Media Psychology Social sciences |
Related URLs: | |
Depositing User: | Anke Görzig |
Date Deposited: | 15 Oct 2019 08:42 |
Last Modified: | 06 Feb 2024 16:01 |
URI: | https://repository.uwl.ac.uk/id/eprint/6446 |
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