References
- Adelson, J. L., McCoach, D. B., & Gavin, M. K. (2012). Examining the effects of gifted programming in mathematics and reading using the ECLS-K. Gifted Child Quarterly, 56(1), 25–39. https://doi.org/10.1177/0016986211431487
- Aitkin, M., & Longford, N. (1986). Statistical modelling issues in school effectiveness studies. Journal of the Royal Statistical Society. Series A (General), 149(1), 1–43. https://doi.org/10.2307/2981882
- Anderson, D. J. (2015). Teacher and school contributions to student growth [Doctoral dissertation, University of Oregon]. University of Oregon Scholars’ Bank. https://scholarsbank.uoregon.edu/xmlui/handle/1794/19191
- Carlin, B. P., & Louis, T. A. (2008). Bayesian methods for data analysis (3rd ed.). Chapman & Hall/CRC.
- Choi, K., & Seltzer, M. (2010). Modeling heterogeneity in relationships between initial status and rates of change: Treating latent variable regression coefficients as random coefficients in a three-level hierarchical model. Journal of Educational and Behavioral Statistics, 35(1), 54–91. https://doi.org/10.3102/1076998609337138
- Creemers, B. P. M., & Kyriakides, L. (2008). The dynamics of educational effectiveness: A contribution to policy, practice and theory in contemporary schools. Routledge.
- Creemers, B. P. M., Kyriakides, L., & Sammons, P. (2010). Methodological advances in educational effectiveness research. Routledge.
- Cummings, K. D., Stoolmiller, M. L., Baker, S. K., Fien, H., & Kame’enui, E. J. (2015). Using school-level student achievement to engage in formative evaluation: Comparative school-level rates of oral reading fluency growth conditioned by initial skill for second grade students. Reading and Writing, 28(1), 105–130. https://doi.org/10.1007/s11145-014-9512-5
- Every Student Succeeds Act of 2015, Pub. L. No. 114-95 (2015). https://www.congress.gov/114/plaws/publ95/PLAW-114publ95.pdf
- Fryer, R. G., Jr., & Levitt, S. D. (2004). Understanding the Black-White test score gap in the first two years of school. The Review of Economics and Statistics, 86(2), 447–464. https://doi.org/10.1162/003465304323031049
- Gelman, A., Carlin, J. B., Stern, H. S., Dunson, D. B., Vehtari, A., & Rubin, D. B. (2013). Bayesian data analysis (3rd ed.). CRC Press.
- Goldstein, H. (2014). Using league table rankings in public policy formation: Statistical issues. Annual Review of Statistics and Its Application, 1, 385–399. https://doi.org/10.1146/annurev-statistics-022513-115615
- Greenland, S. (2000). Principles of multilevel modelling. International Journal of Epidemiology, 29(1), 158–167. https://doi.org/10.1093/ije/29.1.158
- Kelly, A. (2012). Measuring “equity” and “equitability” in school effectiveness research. British Educational Research Journal, 38(6), 977–1002. https://doi.org/10.1080/01411926.2011.605874
- Kieffer, M. J. (2008). Catching up or falling behind? Initial English proficiency, concentrated poverty, and the reading growth of language minority learners in the United States. Journal of Educational Psychology, 100(4), 851–868. https://doi.org/10.1037/0022-0663.100.4.851
- Kim, D. Y., Zabel, J. E., Stiefel, L., & Schwartz, A. E. (2006). School efficiency and student subgroups: Is a good school good for everyone? Peabody Journal of Education, 81(4), 95–117. https://doi.org/10.1207/s15327930pje8104_5
- Kyriakides, L., & Creemers, B. P. M. (2011). Can schools achieve both quality and equity? Investigating the two dimensions of educational effectiveness. Journal of Education for Students Placed at Risk (JESPAR), 16(4), 237–254. https://doi.org/10.1080/10824669.2011.610269
- Kyriakides, L., Creemers, B. P. M., & Charalambous, E. (2018). Policy implications of research in education: Vol. 8. Equity and quality dimensions in educational effectiveness. Springer.
- Kyriakides, L., Creemers, B. P. M., & Charalambous, E. (2019). Searching for differential teacher and school effectiveness in terms of student socioeconomic status and gender: Implications for promoting equity. School Effectiveness and School Improvement, 30(3), 286–308. https://doi.org/10.1080/09243453.2018.1511603
- Lindley, D. V., & Smith, A. F. M. (1972). Bayes estimates for the linear model. Journal of the Royal Statistical Society: Series B (Methodological), 34(1), 1–18. https://doi.org/10.1111/j.2517-6161.1972.tb00885.x
- Malmgren, K. W., McLaughlin, M. J., & Nolet, V. (2005). Accounting for the performance of students with disabilities on statewide assessments. The Journal of Special Education, 39(2), 86–96. https://doi.org/10.1177/00224669050390020401
- Marks, G. N. (2015). The size, stability, and consistency of school effects: Evidence from Victoria. School Effectiveness and School Improvement, 26(3), 397–414. https://doi.org/10.1080/09243453.2014.964264
- McCoach, D. B., Rambo, K. E., & Welsh, M. (2013). Assessing the growth of gifted students. Gifted Child Quarterly, 57(1), 56–67. https://doi.org/10.1177/0016986212463873
- Mroczek, D. K., Stawski, R. S., Turiano, N. A., Chan, W., Almeida, D. M., Neupert, S. D., & Spiro, A., III. (2015). Emotional reactivity and mortality: Longitudinal findings from the VA Normative Aging Study. Journals of Gerontology, Series B: Psychological Sciences and Social Sciences, 70(3), 398–406. https://doi.org/10.1093/geronb/gbt107
- No Child Left Behind Act of 2001, Pub. L. No. 107-110, § 115, Stat. 1425 (2002).
- Nuttall, D. L., Goldstein, H., Prosser, R., & Rasbash, J. (1989). Differential school effectiveness. International Journal of Educational Research, 13(7), 769–776. https://doi.org/10.1016/0883-0355(89)90027-X
- Office for Standards in Education. (2015). The common inspection framework: Education, skills and early years from September 2015 (Reference No. 150065). https://www.gov.uk/government/publications/common-inspection-framework-education-skills-and-early-years-from-september-2015
- Ortega, L., Malmberg, L.-E., & Sammons, P. (2018). School effects on Chilean children’s achievement growth in language and mathematics: An accelerated growth curve model. School Effectiveness and School Improvement, 29(2), 308–337. https://doi.org/10.1080/09243453.2018.1443945
- Palardy, G. J. (2008). Differential school effects among low, middle, and high social class composition schools: A multiple group, multilevel latent growth curve analysis. School Effectiveness and School Improvement, 19(1), 21–49. https://doi.org/10.1080/09243450801936845
- Raudenbush, S. W., Bryk, A. S., Cheong, Y. F., Congdon, R., Jr., & du Toit, M. (2011). HLM 7: Hierarchical linear and non-linear modeling [Computer software]. Scientific Software International.
- Raudenbush, S. W., & Willms, J. D. (1995). The estimation of school effects. Journal of Educational and Behavioral Statistics, 20(4), 307–335. https://doi.org/10.2307/1165304
- R Core Team. (2014). R: A language and environment for statistical computing. R Foundation for Statistical Computing. https://www.R-project.org/
- Reynolds, D., Sammons, P., De Fraine, B., Van Damme, J., Townsend, T., Teddlie, C., & Stringfield, S. (2014). Educational effectiveness research (EER): A state-of-the-art review. School Effectiveness and School Improvement, 25(2), 197–230. https://doi.org/10.1080/09243453.2014.885450
- Sammons, P. (2007). School effectiveness and equity: Making connections. CfBT.
- Sammons, P., Nuttall, D., & Cuttance, P. (1993). Differential school effectiveness: Results from a reanalysis of the Inner London Education Authority’s Junior School Project data. British Educational Research Journal, 19(4), 381–405. https://doi.org/10.1080/0141192930190407
- Scheerens, J., & Bosker, R. J. (1997). The foundations of educational effectiveness. Elsevier Science.
- Schulte, A. C., Stevens, J. J., Elliott, S. N., Tindal, G., & Nese, J. F. T. (2016). Achievement gaps for students with disabilities: Stable, widening, or narrowing on a state-wide reading comprehension test? Journal of Educational Psychology, 108(7), 925–942. https://doi.org/10.1037/edu0000107
- Simpson, M. A., Gong, B., & Marion, S. (2006). Effect of minimum cell sizes and confidence interval sizes for special education subgroups on school-level AYP determinations (Synthesis Report No. 61). University of Minnesota, National Center on Educational Outcomes. https://www.cehd.umn.edu/NCEO/OnlinePubs/Synthesis61.pdf
- Stevens, J. J., & Schulte, A. C. (2017). The interaction of learning disability status and student demographic characteristics on mathematics growth. Journal of Learning Disabilities, 50(3), 261–274. https://doi.org/10.1177/0022219415618496
- Strand, S. (2016). Do some schools narrow the gap? Differential school effectiveness revisited. Review of Education, 4(2), 107–144. https://doi.org/10.1002/rev3.3054
- Troncoso, P., Pampaka, M., & Olsen, W. (2016). Beyond traditional school value-added models: A multilevel analysis of complex school effects in Chile. School Effectiveness and School Improvement, 27(3), 293–314. https://doi.org/10.1080/09243453.2015.1084010
- Zvoch, K., & Stevens, J. J. (2006). Successive student cohorts and longitudinal growth models: An investigation of elementary school mathematics performance. Education Policy Analysis Archives, 14, Article 2. https://doi.org/10.14507/epaa.v14n2.2006