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Invariance of the Trait Emotional Intelligence Construct Across Clinical Populations and Sociodemographic Variables.
Pérez-Díaz, Pablo Alejandro; Manrique-Millones, Denisse; García-Gómez, María; Vásquez-Suyo, Maria Isabel; Millones-Rivalles, Rosa; Fernández-Ríos, Nataly; Pérez-González, Juan-Carlos; Petrides, K V.
Afiliação
  • Pérez-Díaz PA; Institute of Psychology, Sede Puerto Montt, Austral University of Chile, Puerto Montt, Chile.
  • Manrique-Millones D; Carrera de Psicología, Universidad Científica del Sur, Lima, Peru.
  • García-Gómez M; University Institute for Social Development and Sustainability (INDESS), Universidad de Cádiz, Cádiz, Spain.
  • Vásquez-Suyo MI; Psychiatric Academic Department, National University of San Marcos, Lima, Peru.
  • Millones-Rivalles R; Facultad de Educación y Psicología, Universidad Marcelino Champagnat, Lima, Peru.
  • Fernández-Ríos N; Facultad de Medicina, Universidad Nacional de San Agustín de Arequipa, Arequipa, Peru.
  • Pérez-González JC; Emotional Education Laboratory (EDUEMO Lab), Faculty of Education, National University of Distance Education (UNED), Madrid, Spain.
  • Petrides KV; Department of Clinical, Educational and Health Psychology, University College London, London, United Kingdom.
Front Psychol ; 13: 796057, 2022.
Article em En | MEDLINE | ID: mdl-35465547
Recent research has shown that cultural, linguistic, and sociodemographic peculiarities influence the measurement of trait emotional intelligence (trait EI). Assessing trait EI in different populations fosters cross-cultural research and expands the construct's nomological network. In mental health, the trait EI of clinical populations has been scarcely researched. Accordingly, the present study examined the relationship between trait EI and key sociodemographic variables on Trait Emotional Intelligence Questionnaire (TEIQue-SF) datasets with mental healthcare patients from three different Spanish-speaking countries. Collectively, these datasets comprised 528 participants, 23% from Chile (120), 28% from Peru (150), and 49% from Spain (258). The sociodemographic variables we used for trait EI comparisons were gender, age, educational level, civil status, and occupational status. Analyses involved Multigroup Exploratory Structural Equation Modelling (to test measurement invariance) and analysis of covariance (ANCOVA). Our results revealed significant between-country differences in trait EI across the studied sociodemographic variables and interactions between these variables. Measurement invariance across the datasets was attained up to the scalar level regarding gender and education (i.e., strong invariance), although analyses on age, civil status, and occupation displayed non-invariance. The resultant psychometric evidence supports the suitability of the TEIQue-SF for the accurate cross-cultural assessment of trait EI in mental health settings. It also highlights the importance of incorporating trait EI into extant psychotherapeutic frameworks to enhance non-pharmacological treatment efficacy.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Front Psychol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Chile País de publicação: Suíça

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Front Psychol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Chile País de publicação: Suíça