OECD Education Working Papers
Abstract
Large-scale surveys such as the Programme for International Student Assessment (PISA), the Teaching and Learning International Survey (TALIS), and the Programme for the International Assessment of Adult Competences (PIAAC) use advanced statistical models to estimate scores of latent traits from multiple observed responses. The comparison of such estimated scores across different groups of respondents is valid to the extent that the same set of estimated parameters holds in each group surveyed. This issue of invariance of parameter estimates is addressed in model fit indices which gauge the likelihood that one set of parameters can be used across all groups. Therefore, the problem of scale invariance across groups of respondents can typically be framed as the question of how well a single model fits the responses of all groups. However, the procedures used to evaluate the fit of these models pose a series of theoretical and practical problems. The most commonly applied procedures to establish invariance of cognitive and non-cognitive scales across countries in large-scale surveys are developed within the framework of confirmatory factor analysis and item response theory. The criteria that are commonly applied to evaluate the fit of such models, such as the decrement of the Comparative Fit Index in confirmatory factor analysis, work normally well in the comparison of a small number of countries or groups, but can perform poorly in large-scale surveys featuring a large number of…
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Schools can be seen as complex adaptive systems with a dynamic and complex nature, in which many actors and contextual factors are continuously changing and interacting.
“Schools can be seen as complex adaptive systems with a dynamic and complex nature, in which many actors and contextual factors are continuously changing and interacting [6, 7, 8].”
From Balancing Fidelity and Adaptation: Action‐Oriented Research Towards Implementing a Nutrition Education Program Among Adolescents (2025) · cites this paper as [7]
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- Authors
- de Vijve, F. J. R. V., Avvisati, F., Davidov, E., Eid, M., Fox, J., Donné, N. L., Lek, K., Meuleman, B., Paccagnella, M., & van de Schoot, R.
- ORCID
- Venue
- OECD education working papers
- Published
- 2010-02-17
- ISSN
- 1993-9019 (ISSN-L)
- OpenAlex
- W4206410612
- Cited by
- 885
- References
- 3
- Citations by year
- 2026: 73 · 2025: 95 · 2024: 159 · 2023: 137 · 2022: 128 · 2021: 84 · 2020: 48 · 2019: 54 · 2018: 49 · 2017: 26 · 2016: 11 · 2015: 6 · 2014: 4 · 2013: 4 · 2012: 2
- Type
- paratext
- Language
- en
- Open access
- closed
- Locations
- OECD education working papers (publishedVersion)
- SPIRE (Sciences Po) (submittedVersion)
- Zurich Open Repository and Archive (University of Zurich) (submittedVersion)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Social Sciences › Education › Educational Assessment and Pedagogy
- Social Sciences › Political Science and International Relations › Global Educational Policies and Reforms
- Keywords
- scale invariance, model fit indices, metric invariance, scalar invariance, confirmatory factor analysis, item response theory, PISA, TALIS, PIAAC, large-scale surveys, cross-national comparison, latent trait estimation, factor loadings, intercepts
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