Education and Information Technologies, Journal Year: 2024, Volume and Issue: unknown
Published: July 26, 2024
Abstract International large-scale assessments provide cross-national data on students’ cognitive and non-cognitive characteristics. A critical methodological issue that often arises in comparing from studies is ensuring measurement invariance, indicating the construct under investigation same across compared groups. This study addresses invariance of practices regarding online information (ICTINFO) questionnaire countries PISA 2022 cycle. Some complexities have arisen when testing presence many For multiple group confirmatory factor analysis (MGCFA), which a traditional procedure, was employed first, then novel approach, alignment method, performed. comprised 29 OECD countries, with total sample size 187.614 15-year-old students. The MGCFA results revealed metric achieved comparable loadings while not for means. Consistent results, method identified noninvariant parameters exceeding 25% cut-off criteria countries. Monte Carlo simulation validated reliability results. contributes to international by providing detailed examination findings various methodologies improving assessment accuracy. evidence-based recommendations policymakers ensure fair equitable evaluations student performance different thereby contributing more reliable valid assessments.
Language: Английский