An Empirical Comparison of Statistical Models for Value-Added Assessment of School Performance
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DOI: 10.3102/10769986029001011
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Cited by:
- Dan Goldhaber & Roddy Theobald, 2013. "Managing the Teacher Workforce in Austere Times: The Determinants and Implications of Teacher Layoffs," Education Finance and Policy, MIT Press, vol. 8(4), pages 494-527, October.
- Helen F. Ladd & Charles T. Clotfelter & John B. Holbein, 2017.
"The Growing Segmentation of the Charter School Sector in North Carolina,"
Education Finance and Policy, MIT Press, vol. 12(4), pages 536-563, Fall.
- Helen F. Ladd & Charles T. Clotfelter & John B. Holbein, 2015. "The Growing Segmentation of the Charter School Sector in North Carolina," NBER Working Papers 21078, National Bureau of Economic Research, Inc.
- F. Cugnata & G. Perucca & S. Salini, 2017. "Bayesian networks and the assessment of universities' value added," Journal of Applied Statistics, Taylor & Francis Journals, vol. 44(10), pages 1785-1806, July.
- Bruno ARPINO & Roberta VARRIALE, 2010. "Assessing The Quality Of Institutions’ Rankings Obtained Through Multilevel Linear Regression Models," Journal of Applied Economic Sciences, Spiru Haret University, Faculty of Financial Management and Accounting Craiova, vol. 5(1(11)_Spr), pages 7-22.
- Garritt L. Page & Ernesto San Martín & Javiera Orellana & Jorge González, 2017. "Exploring complete school effectiveness via quantile value added," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 180(1), pages 315-340, January.
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Keywords
empirical comparison; hierarchical linear model; layered mixed effects model; simple fixed effects model; simple versus complex methods; value-added assessment;All these keywords.
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