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A hierarchical (multicomponent) model of in-group identification

Adaptation of a measure to the Brazilian context

Bibliographic Data

ID4828816
AuthorsLuana Elayne Cunha De Souza (0000-0001-9425-9598, Universidade de Fortaleza, corresponding author), Tiago Jessé Souza Lima (0000-0001-8840-4285, Universidade de Fortaleza, corresponding author), Tiago Jessé Souza De Lima, Luciana Maria Maia (0000-0003-1491-5685, Universidade de Fortaleza), Ana Beatriz Gomes Fontenele (0000-0003-1818-9166, Universidade de Fortaleza), Samuel Lincoln Bezerra Lin, Samuel Lin (0000-0001-6824-4691, Universidade do Porto)
Year2019
Volume32
Issue1
Pages19-19
Publication date2019-12-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenuePsicologia Reflexão e Crítica (JOURNAL)
Journal identifiersISSN: 0102-7972 • E-ISSN: 1678-7153
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1186/s41155-019-0131-6
PMID32025989
OpenAlexW2979368124
LanguageEN
Citations received3
References cited43

The aim of this study is to adapt the multidimensional in-group identification scale (MGIS) to the Brazilian context by gathering evidence of its psychometric properties. A total of 663 people from two samples participated in the study. In sample 1, we measured the identification of Brazilians with the region of the country where they live. In sample 2, we measured the identification of students with the university which they attend. Confirmatory factor analyses were performed on both samples to compare the models previously proposed by the original authors of the measure. The obtained results confirmed the validity of the hierarchical and multidimensional factor structure proposed by the original authors. The scale proposed here can be used to measure multiple dimensions of in-group identification in Brazil

Adaptation (eye) · Biology · Cartography · Chromatography · Confirmatory factor analysis · Context (archaeology) · Data mining · Geography · Group identification · Identification (biology) · Measure (data warehouse) · Sample (material) · Scale (ratio) · Statistics · Structural equation modeling · Communication in Education and Healthcare · Computer Science · Cultural Differences and Values · Mathematics · Psychology · Social and Intergroup Psychology · Social Psychology

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Unique citing works3
Citations per year0,6
Citation span2021 - 2026 (6)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 3

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