Extracting the evaluations of stereotypes: Bi-factor model of the stereotype content structure
Resumen: Stereotype dimensions-competence, morality and sociability-are fundamental to studying the perception of other groups. These dimensions have shown moderate/high positive correlations with each other that do not reflect the theoretical expectations. The explanation for this (e.g., halo effect) undervalues the utility of the shared variance identified. In contrast, in this work we propose that this common variance could represent the global evaluation of the perceived group. Bi-factor models are proposed to improve the internal structure and to take advantage of the information representing the shared variance among dimensions. Bi-factor models were compared with first order models and other alternative models in three large samples (300-309 participants). The relationships among the global and specific bi-factor dimensions with a global evaluation dimension (measured through a semantic differential) were estimated. The results support the use of bi-factor models rather than first order models (and other alternative models). Bi-factor models also show a greater utility to directly and more easily explore the stereotype content including its evaluative content.
Idioma: Inglés
DOI: 10.3389/fpsyg.2017.01692
Año: 2017
Publicado en: FRONTIERS IN PSYCHOLOGY 8 (2017), 1-12
ISSN: 1664-1078

Factor impacto JCR: 2.089 (2017)
Categ. JCR: PSYCHOLOGY, MULTIDISCIPLINARY rank: 39 / 135 = 0.289 (2017) - Q2 - T1
Factor impacto SCIMAGO: 1.043 - Psychology (miscellaneous) (Q1)

Financiación: info:eu-repo/grantAgreement/ES/MINECO/PSI2011-22731
Tipo y forma: Article (Published version)
Área (Departamento): Área Metod.Ciencias Comportam. (Dpto. Psicología y Sociología)

Creative Commons You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.


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