References
- Amrein-Beardsley, A. (2014). Rethinking value-added models in education: Critical perspectives on tests and assessment-based accountability. Routledge.
- Anderson, A. (2012). Climate change education for mitigation and adaptation. Journal of Education for Sustainable Development, 6(2), 191–206. https://doi.org/https://doi.org/10.1177/0973408212475199
- Anyon, Y., Jenson, J. M., Altschul, I., Farrar, J., McQueen, J., Greer, E., Downing, B., & Simmons, J. (2014). The persistent effect of race and the promise of alternatives to suspension in school discipline outcomes. Children and Youth Services Review, 44, 379–386. https://doi.org/https://doi.org/10.1016/j.childyouth.2014.06.025
- Brill, F., Grayson, H., Kuhn, L., & O’Donnell, S. (2018). What impact does accountability have on curriculum, standards and engagement in education? A literature review. National Foundation for Educational Research.
- Browne, W. J. (2019). Markov chain Monte Carlo (MCMC) estimation. Centre for Multilevel Modelling, University of Bristol.
- Cawley, L. (2018, March 15). Parents fined £24 m for children's truancy and term time holidays. BBC News. https://www.bbc.co.uk/news/uk-england-43254495
- Charlton, C., Rasbash, J., Browne, W. J., Healy, M., & Cameron, B. (2019). MLwiN Version 3.04 [Computer software]. Centre for Multilevel Modelling, University of Bristol.
- Coxe, S., West, S. G., & Aiken, L. S. (2009). The analysis of count data: A gentle introduction to poisson regression and its alternatives. Journal of Personality Assessment, 91(2), 121–136. https://doi.org/https://doi.org/10.1080/00223890802634175
- Demie, F. (2021). The experience of Black Caribbean pupils in school exclusion in England. Educational Review, 73(1), 55–70. https://doi.org/https://doi.org/10.1080/00131911.2019.1590316
- Department for Education. (2019a). Permanent and fixed period exclusions in England: 2017 to 2018.
- Department for Education. (2019b). Pupil absence in schools in England: 2017 to 2018.
- Department for Education. (2020). Secondary accountability measures: Guide for maintained secondary schools, academies and free schools.
- Ehren, M. C. M., & Swanborn, M. S. L. (2012). Strategic data use of schools in accountability systems. School Effectiveness and School Improvement, 23(2), 257–280. https://doi.org/https://doi.org/10.1080/09243453.2011.652127
- European Commission. (2010). Europe 2020 – A European strategy for smart, sustainable and inclusive growth.
- Every Student Succeeds Act, 20 U.S.C. § 6301 (2015). https://www.congress.gov/bill/114th-congress/senate-bill/1177
- Foley, B., & Goldstein, H. (2012). Measuring success: League tables in the public sector. The British Academy.
- García, E., & Weiss, E. (2018). Student absenteeism: Who misses school and how missing school matters for performance. Economic Policy Institute. epi.org/152438
- Gardiner, J., Evans, D., & Howell, K. (1995). Suspension and exclusion rates for aboriginal students in Western Australia. The Aboriginal Child at School, 23(1), 32–35. https://doi.org/10.1017/S0310582200005034
- Gill, K., Quilter-Pinner, H., & Swift, D. (2017). Making the difference: Breaking the link between school exclusion and social exclusion. Institute for Public Policy Research.
- Goldstein, H. (1997). Methods in school effectiveness research. School Effectiveness and School Improvement, 8(4), 369–395. https://doi.org/https://doi.org/10.1080/0924345970080401
- Goldstein, H., Browne, W., & Rasbash, J. (2002). Partitioning variation in multilevel models. Understanding Statistics, 1(4), 223–231. https://doi.org/https://doi.org/10.1207/S15328031US0104_02
- Goldstein, H., Burgess, S., & McConnell, B. (2007). Modelling the effect of pupil mobility on school differences in educational achievement. Journal of the Royal Statistical Society: Series A (Statistics in Society), 170(4), 941–954. https://doi.org/https://doi.org/10.1111/j.1467-985X.2007.00491.x
- Goldstein, H., Huiqi, P., Rath, T., & Hill, N. (2000). The use of value added information in judging school performance. Institute of Education.
- Gottfried, M. A. (2009). Excused versus unexcused: How student absences in elementary school affect academic achievement. Educational Evaluation and Policy Analysis, 31(4), 392–415. https://doi.org/https://doi.org/10.3102/0162373709342467
- Gottfried, M. A. (2019). Chronic absenteeism in the classroom context: Effects on achievement. Urban Education, 54(1), 3–34. https://doi.org/https://doi.org/10.1177/0042085915618709
- Green, M. A. (2013). The equalisation hypothesis and changes in geographical inequalities of age mortality in England, 2002–2004 to 2008–2010. Social Science & Medicine, 87, 93–98. https://doi.org/https://doi.org/10.1016/j.socscimed.2013.03.029
- Grilli, L., Pennoni, F., Rampichini, C., & Romeo, I. (2016). Exploiting TIMSS and PIRLS combined data: Multivariate multilevel modelling of student achievement. The Annals of Applied Statistics, 10(4), 2405–2426. https://doi.org/https://doi.org/10.1214/16-AOAS988
- Hancock, K. J., Lawrence, D., Shepherd, C. C. J., Mitrou, F., & Zubrick, S. R. (2017). Associations between school absence and academic achievement: Do socioeconomics matter? British Educational Research Journal, 43(3), 415–440. https://doi.org/https://doi.org/10.1002/berj.3267
- Heckman, J. J., & Kautz, T. (2012). Hard evidence on soft skills. Labour Economics, 19(4), 451–464. https://doi.org/https://doi.org/10.1016/j.labeco.2012.05.014
- Hemphill, S. A., Stephanie, P. M., Herrenkohl, T. I., Toumbourou, J. W., & Catalano, R. F. (2014). Student and school factors associated with school suspension: A multilevel analysis of students in Victoria, Australia and Washington State, United States. Children and Youth Services Review, 36, 187–194. https://doi.org/https://doi.org/10.1016/j.childyouth.2013.11.022
- Ingul, J. M., Klöckner, C. A., Silverman, W. K., & Nordahl, H. M. (2012). Adolescent school absenteeism: Modelling social and individual risk factors. Child and Adolescent Mental Health, 17(2), 93–100. https://doi.org/https://doi.org/10.1111/j.1475-3588.2011.00615.x
- Kupchik, A., Green, D. A., & Mowen, T. J. (2015). School punishment in the US and England: Divergent frames and responses. Youth Justice, 15(1), 3–22. https://doi.org/https://doi.org/10.1177/1473225414540556
- Leckie, G. (2009). The complexity of school and neighbourhood effects and movements of pupils on school differences in models of educational achievement. Journal of the Royal Statistical Society: Series A (Statistics in Society), 172(3), 537–554. https://doi.org/https://doi.org/10.1111/j.1467-985X.2008.00577.x
- Leckie, G. (2018). Avoiding bias when estimating the consistency and stability of value-added school effects. Journal of Educational and Behavioral Statistics, 43(4), 440–468. https://doi.org/https://doi.org/10.3102/1076998618755351
- Leckie, G., Browne, W. J., Goldstein, H., Merlo, J., & Austin, P. C. (2020). Partitioning variation in multilevel models for count data. Psychological Methods, 25(6), 787–801. https://doi.org/https://doi.org/10.1037/met0000265
- Leckie, G., & Charlton, C. (2013). runmlwin – A program to run the MLwiN multilevel modelling software from within Stata. Journal of Statistical Software, 52(11), 1–40. https://doi.org/https://doi.org/10.18637/jss.v052.i11
- Leckie, G., & Goldstein, H. (2009). The limitations of using school league tables to inform school choice. Journal of the Royal Statistical Society: Series A (Statistics in Society), 172(4), 835–851. https://doi.org/https://doi.org/10.1111/j.1467-985X.2009.00597.x
- Leckie, G., & Goldstein, H. (2017). The evolution of school league tables in England 1992–2016: “Contextual value-added”, “expected progress” and “progress 8”. British Educational Research Journal, 43(2), 193–212. https://doi.org/https://doi.org/10.1002/berj.3264
- Leckie, G., & Goldstein, H. (2019). The importance of adjusting for pupil background in school value-added models: A study of Progress 8 and school accountability in England. British Educational Research Journal, 45(3), 518–537. https://doi.org/https://doi.org/10.1002/berj.3511
- Leckie, G., Prior, L., & Goldstein, H. (2019). The implications of Labour’s plan to scrap Key Stage 2 tests for Progress 8 and secondary school accountability in England. arXiv:1911.06884 [stat.AP]
- Machin, S., & Sandi, M. (2018). Autonomous schools and strategic pupil exclusion. IZA Institute of Labor Economics.
- 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/https://doi.org/10.1080/09243453.2014.964264
- Muñoz-Chereau, B., & Thomas, S. M. (2016). Educational effectiveness in Chilean secondary education: Comparing different “value-added”‘ approaches to evaluate schools. Assessment in Education: Principles, Policy & Practice, 23(1), 26–52. https://doi.org/https://doi.org/10.1080/0969594X.2015.1066307
- Organisation for Economic Co-operation and Development. (n.d.). PISA: Programme for International Student Assessment. Retrieved September 25, 2020, from https://www.oecd.org/pisa/
- Organisation for Economic Co-operation and Development. (2008). Measuring improvements in learning outcomes: Best practices to assess the value-added of schools. https://doi.org/10.1787/9789264050259-en
- Parsons, C. (2018). The continuing school exclusion scandal in England. Forum, 60(2), 245–254. https://doi.org/10.15730/FORUM.2018.60.2.245
- Ramberg, J., Brolin Låftman, S., Fransson, E., & Modin, B. (2019). School effectiveness and truancy: A multilevel study of upper secondary schools in Stockholm. International Journal of Adolescence and Youth, 24(2), 185–198. https://doi.org/https://doi.org/10.1080/02673843.2018.1503085
- 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/https://doi.org/10.1080/09243453.2014.885450
- Rothman, S. (2001). School absence and student background factors: A multilevel analysis. International Education Journal, 2(1), 59–68.
- Sanders, J., Liebenberg, L., & Munford, R. (2020). The impact of school exclusion on later justice system involvement: Investigating the experiences of male and female students. Educational Review, 72(3), 386–403. https://doi.org/https://doi.org/10.1080/00131911.2018.1513909
- Scheerens, J., & Bosker, R. (1997). The foundations of educational effectiveness. Pergamon.
- Smyth, E. (1999). Pupil performance, absenteeism and school drop-out: A multi-dimensional analysis. School Effectiveness and School Improvement, 10(4), 480–502. https://doi.org/https://doi.org/10.1076/sesi.10.4.480.3496
- StataCorp. (2015). Stata Statistical Software: Release 14. StataCorp LP.
- Sullivan, A. L., Klingbeil, D. A., & Van Norman, E. R. (2013). Beyond behavior: Multilevel analysis of the influence of sociodemographics and school characteristics on students’ risk of suspension. School Psychology Review, 42(1), 99–114. https://doi.org/https://doi.org/10.1080/02796015.2013.12087493
- Teddlie, C., & Reynolds, D. (2000). The international handbook of school effectiveness research. Falmer Press.
- Thomas, S., Sammons, P., Mortimore, P., & Smees, R. (1997). Stability and consistency in secondary schools’ effects on students’ GCSE outcomes over three years. School Effectiveness and School Improvement, 8(2), 169–197. https://doi.org/https://doi.org/10.1080/0924345970080201
- Timmermans, A. C., & Thomas, S. M. (2015). The impact of student composition on schools’ value-added performance: A comparison of seven empirical studies. School Effectiveness and School Improvement, 26(3), 487–498. https://doi.org/https://doi.org/10.1080/09243453.2014.957328
- Timpson, E. (2019). Timpson review of school exclusion. Department for Education.
- Vidal Rodeiro, C., & Williamson, J. (2019). Meaningful destinations: Using national data to investigate how different education pathways support young people's progression in England. Research Papers in Education, 34(6), 725–748. https://doi.org/https://doi.org/10.1080/02671522.2018.1536889
- West, A. (2010). High stakes testing, accountability, incentives and consequences in English schools. Policy & Politics, 38(1), 23–39.
- Zhang, Z., Parker, R. M. A., Charlton, C. M. J., Leckie, G., & Browne, W. J. (2016). R2MLwiN: A package to run MLwiN from within R. Journal of Statistical Software, 72(10), 1–43. https://doi.org/10.18637/jss.v072.i10