A critical evaluation of alignment optimization for improving cross- national comparability in international large-scale assessments

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dc.article.number101519
dc.catalogadorjlo
dc.contributor.authorSandoval-Hernández, Andrés
dc.contributor.authorCarrasco Ogaz, Diego Alonso
dc.contributor.authorEryilmaz, Nurullah
dc.date.accessioned2026-01-08T13:18:37Z
dc.date.available2026-01-08T13:18:37Z
dc.date.issued2025
dc.description.abstractThis study critically examines the use of alignment optimization to improve cross-national comparability of teacher and principal scales from the Teaching and Learning International Survey (TALIS) 2018. By investigating key psychometric properties, including dimensionality, reliability, and measurement invariance, the study highlights critical challenges in international large-scale assessments. While unidimensionality and high internal consistency were established for all scales, traditional multiple-group confirmatory factor analysis (MGCFA) suggested that scalar invariance could not be fully established for most scales, raising concerns about the robustness of cross-national comparisons under strict invariance assumptions. In contrast, alignment optimization emerged as a flexible and robust method, significantly enhancing the comparability of principal scales, all of which met alignment criteria. However, persistent challenges were identified for many teacher scales, which fell below alignment thresholds, emphasizing unresolved methodological complexities. This study demonstrates the transformative potential of alignment optimization for advancing psychometric rigor in global educational research and underscores the need for innovative approaches to address lingering comparability issues in international assessments.
dc.fechaingreso.objetodigital2026-01-08
dc.format.extent13 páginas
dc.fuente.origenORCID
dc.identifier.doi10.1016/j.stueduc.2025.101519
dc.identifier.issn0191-491X
dc.identifier.urihttps://doi.org/10.1016/j.stueduc.2025.101519
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/107588
dc.information.autorucFacultad de Educación; Carrasco Ogaz, Diego Alonso; 0000-0002-1195-6206; 133361
dc.language.isoen
dc.nota.accesocontenido parcial
dc.revistaStudies in Educational Evaluation
dc.rightsacceso abierto
dc.subjectTALIS 2018
dc.subjectAlignment optimization
dc.subjectMeasurement invariance
dc.subjectCross-national comparability
dc.subjectPrincipal scales
dc.subjectTeacher scales
dc.subjectMultiple-group confirmatory factor analysis (MGCFA)
dc.subject.ddc370
dc.titleA critical evaluation of alignment optimization for improving cross- national comparability in international large-scale assessments
dc.typeartículo
dc.volumen87
sipa.codpersvinculados133361
sipa.trazabilidadORCID;2026-01-05
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