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Psychometric Evaluation of the School Climate and School Identification Measure—Student on Chilean Students

A Bifactor Model Approach

Bibliographic Data

ID15714433
AuthorsJosé Luis Gálvez-Nieto (0000-0001-7642-8204, Universidad de La Frontera), Ítalo Trizano-Hermosilla (0000-0002-6639-5549, Universidad de La Frontera, corresponding author), Karina Polanco-Levicán (0000-0001-9877-3594, Universidad de La Frontera)
Year2024
Volume11
Issue1
Pages87-87
Publication date2024-01-11
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueChildren (JOURNAL)
Journal identifiersISSN: 2227-9067 • E-ISSN: 2227-9067
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/children11010087
PMID38255400
OpenAlexW4390751913
LanguageEN
Citations received2
References cited53

School climate is a relevant construct for understanding social relations at school. The SCASIM-St has been widely defined as a multidimensional construct; however, new factor structures have not been explored through evidence that allows for interpreting school climate scores from an approach that respects the multidimensionality of the scale and, at the same time, allows for identifying the degree of essential unidimensionality in the data. Consequently, the objective was to analyze the psychometric properties of the SCASIM-St from a bifactor model approach, evaluating the influence of a general school climate factor versus five specific factors. The study involved 1860 students of both sexes (42% males and 58% females), with an average age of 16.63 years (SD = 0.664), from 17 secondary schools in Chile. The results obtained by a confirmatory factor analysis provided evidence that the best model was the bifactor model for the 38 items, with one general factor and five specific factors. The Explained Common Variance (ECV) values and reliability levels by hierarchical omega accounted for a strong general school climate factor with high levels of reliability. Evidence of external criterion validity, assessed through the attitude toward authority scale (AIA-A), showed a theoretically expected and significant relationship between the factors of both instruments. This study confirmed the psychometric robustness of the SCASIM-St scale by means of a bifactor model, allowing for a new, essentially unidimensional interpretation of the scale scores and providing an instrument to measure school climate in Chile

Cartography · Confirmatory factor analysis · Construct (python library · Construct validity · Developmental psychology · Factor analysis · Geography · Mathematics education · Measurement invariance · Psychometrics · Reliability (semiconductor · Scale (ratio · School climate · Statistics · Structural equation modeling · Variance (accounting · Bullying, Victimization, and Aggression · Child and Adolescent Psychosocial and Emotional Development · Computer Science · Early Childhood Education and Development · Mathematics · Psychology

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Unique citing works2
Citations per year2
Citation span2025 - 2026 (2)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 2

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