Treffer: Reliability Generalization of the School Attitude Assessment Survey-Revised: A Meta-Analytic Structural Equation Modeling Approach

Title:
Reliability Generalization of the School Attitude Assessment Survey-Revised: A Meta-Analytic Structural Equation Modeling Approach
Language:
English
Authors:
José Antonio López-López (ORCID 0000-0002-9655-3616), Rubén López-Nicolás (ORCID 0000-0002-6963-7443), Alejandro Sandoval-Lentisco (ORCID 0000-0002-7876-0101), Julio Sánchez-Meca (ORCID 0000-0002-8412-788X), Alejandro Veas (ORCID 0000-0002-5560-2215)
Source:
Journal of Psychoeducational Assessment. 2025 43(6):574-590.
Availability:
SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: https://sagepub.com
Peer Reviewed:
Y
Page Count:
17
Publication Date:
2025
Document Type:
Fachzeitschrift Journal Articles<br />Information Analyses
DOI:
10.1177/07342829251349255
ISSN:
0734-2829
1557-5144
Entry Date:
2025
Accession Number:
EJ1478761
Database:
ERIC

Weitere Informationen

The School Attitude Assessment Survey-Revised (SAAS-R) is a popular scale for assessing attitudinal and motivational aspects of students' academic achievement. However, evidence on key psychometric properties of the SAAS-R such as reliability remains limited. We conducted a reliability generalization study of the SAAS-R using meta-analytic structural equation modeling (MASEM). We included studies reporting an application of the SAAS-R and providing correlation coefficients between the SAAS-R subscales. We searched ERIC, PsycINFO, Academic Search Premier, Supplemental Index, and Web of Science from database inception to July 2023. Analyses were based on 18 independent matrices from 13 studies examining 8712 participants. Our main results, based on a one-stage, correlation-based MASEM approach and with omega total as the reliability measure, yielded an overall reliability estimate of 0.795 (95% CI 0.778-0.811). This suggests that the SAAS-R offers good score reliability for research and practice purposes. Applications using adapted versions obtained on average higher score reliabilities than the original ones. We discuss the implications of these results, which need to be interpreted with caution given the important reporting limitations of the primary studies included.

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