Abstract
Value added is a common tool in educational research on effectiveness. It is often modeled as a (prediction of a) random effect in a specific hierarchical linear model. This paper shows that this modeling strategy is not valid when endogeneity is present. Endogeneity stems, for instance, from a correlation between the random effect in the hierarchical model and some of its covariates. This paper shows that this phenomenon is far from exceptional and can even be a generic problem when the covariates contain the prior score attainments, a typical situation in value added modeling. Starting from a general, model-free definition of value added, the paper derives an explicit expression of the value added in an endogeneous hierarchical linear Gaussian model. Inference on value added is proposed using an instrumental variable approach. The impact of endogeneity on the value added and the estimated value added is calculated accurately. This is also illustrated on a large data set of individual scores of about 200,000 students in Chile.
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Acknowledgements
We thank Xavier Dumay, Jorge González, Jean Hindriks, Daniel Koretz, Michel Lubrano, Michel Mouchart, Erwin Ooghe, Amine Ouazad and Sally Thomas for helpful discussions. This research was partially supported by the FONDECYT Project No. 1110315 Schools Effectiveness and Value Added Models: From Quantitative Analysis to Qualitative Outcomes. Previous stages of this work have been presented during the conferences School Progress and Value Added Models (May 2010, MIDE UC, Chile), Efficiency Measurement of Educational Systems (January 2012, CORE, Belgium) and V European Congress of Methodology (July 2012, Spain), and at the Seminar of the Centrum voor Onderwijseffectiviteit en-Evaluatie (February 2013, KU Leuven, Belgium). The authors are grateful to the SIMCE Office of the Chilean Ministry of Education for providing access to the database. All opinions and conclusions expressed in this paper are those of the authors and not necessarily those of the Ministry of Education. Finally, we wish to thank three anonymous reviewers for their constructive comments which have helped to improve this manuscript.
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Manzi, J., San Martín, E. & Van Bellegem, S. School System Evaluation by Value Added Analysis Under Endogeneity. Psychometrika 79, 130–153 (2014). https://doi.org/10.1007/s11336-013-9338-0
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DOI: https://doi.org/10.1007/s11336-013-9338-0