Repository logo
 
Publication

Adaptation of the Domestic Violence Myth Acceptance Scale to Portuguese and Tests of Its Convergent, Divergent, and Predictive Validities.

dc.contributor.authorGiger, Jean-Christophe
dc.contributor.authorGonçalves, Gabriela Maria Ramos
dc.contributor.authorAlmeida, Ana Susana
dc.date.accessioned2017-04-07T15:55:53Z
dc.date.available2017-04-07T15:55:53Z
dc.date.issued2016-10
dc.description.abstractThe Domestic Violence Myth Acceptance Scale was adapted to Portuguese (PDVMAS). The PDVMAS displayed reasonable fit indices (Study 1); was positively correlated with right-wing authoritarianism, social dominance orientation, belief in a just world (Study 2), and ambivalent sexism (Study 3); and negatively correlated with empathetic tendencies (Study 4). PDVMAS significantly predicted victim blame and aggressor exoneration in scenarios of coercion (Study 5) and physical assault (Study 6). Victims and non-victims of domestic violence equally endorsed domestic violence myths. Globally, the PDVMAS is a reliable instrument, and domestic violence myths are pervasive and alter the perception of intimate partner violence.
dc.identifier.urihttp://hdl.handle.net/10400.1/9246
dc.language.isoeng
dc.peerreviewedyes
dc.relation.isbasedonMEDLINE:27758897
dc.titleAdaptation of the Domestic Violence Myth Acceptance Scale to Portuguese and Tests of Its Convergent, Divergent, and Predictive Validities.
dc.typejournal article
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FSOC%2F04020%2F2013/PT
oaire.citation.titleViolence against women
oaire.fundingStream5876
person.familyNameGiger
person.familyNameGabriela
person.familyNameRocio Gonçalves de Almeida
person.givenNameJean-Christophe
person.givenNameGonçalves
person.givenNameAna Susana
person.identifier301181
person.identifier605777
person.identifier.ciencia-idE513-78C6-742F
person.identifier.ciencia-id021D-8180-2519
person.identifier.ciencia-id8615-D92D-F62F
person.identifier.orcid0000-0002-4184-1741
person.identifier.orcid0000-0002-9480-3239
person.identifier.orcid0000-0001-5500-0313
person.identifier.ridG-3578-2018
person.identifier.scopus-author-id26657336000
person.identifier.scopus-author-id36849019100
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsrestrictedAccess
rcaap.typearticle
relation.isAuthorOfPublicationd1cb2c6b-591f-4000-9b50-77dd55ede287
relation.isAuthorOfPublication942898fe-06ab-496f-9842-6afc0f251fa7
relation.isAuthorOfPublicatione72a6120-7bb3-492c-92b5-426abaa412c8
relation.isAuthorOfPublication.latestForDiscoveryd1cb2c6b-591f-4000-9b50-77dd55ede287
relation.isProjectOfPublicationd929dde6-e7fa-4824-aba6-9f5e14a1e1be
relation.isProjectOfPublication.latestForDiscoveryd929dde6-e7fa-4824-aba6-9f5e14a1e1be

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
giger2016.pdf
Size:
425.25 KB
Format:
Adobe Portable Document Format