Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/100439
Title: Multi-informant validity evidence for the SSIS SEL Brief Scales across six European countries
Authors: Anthony, Christopher J.
Elliott, Stephen N.
Yost, Michayla
Lei, Pui-Wa
DiPerna, James C.
Cefai, Carmel
Camilleri, Liberato
Bartolo, Paul A.
Grazzani, Ilaria
Ornaghi, Veronica
Cavioni, Valeria
Conte, Elisabetta
Tatalovic Vorkapi, Sanja
Poulou, Maria
Martinsone, Baiba
Simões, Celeste
Colomeischi, Aurora Adina
Keywords: Social skills -- Study and teaching
Emotional intelligence -- Study and teaching
Psychiatric rating scales
Issue Date: 2022
Publisher: Frontiers
Citation: Nia, H. S., Martínez-Ramón, J. P., Yang, C., Cefai, C., Anthony, C. J., Elliott, S. N., ... & Martinsone, S. (2022). Multi-informant validity evidence for the SSIS SEL Brief Scales across six European countries. Frontiers in Psychology, 13, 928189.
Abstract: The SSIS SEL Brief Scales (SSIS SELb) are multi-informant (teacher, parent, and student) measures that were developed to efficiently assess the SEL competencies of school-age youth in the United States. Recently, the SSIS SELb was translated into multiple languages for use in a multi- site study across six European countries (Croatia, Greece, Italy, Latvia, Portugal, and Romania). The purpose of the current study was to examine concurrent and predictive evidence for the SEL Composite scores from the translated versions of the SSIS SELb Scales. Results indicated that SSIS SELb Composite scores demonstrated expected positive concurrent and predictive relationships with scores from the Connor-Davidson Resilience Scale (CD-RISC) and negative relationships with scores from the problem behavior scales of the Strengths and Difficulties Questionnaire (SDQ). Although there were a few exceptions, these patterns generally were consistent across informants (parents, teachers, and students) and samples providing initial validity evidence for the Composite score from the translated versions of the SSIS SELb Scales. Limitations and future research directions are discussed.
URI: https://www.um.edu.mt/library/oar/handle/123456789/100439
Appears in Collections:Scholarly Works - FacSciSOR



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