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The limitations of using school league tables to inform school choice

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Cited by:

  1. Paolo Paruolo & Michaela Saisana & Andrea Saltelli, 2013. "Ratings and rankings: voodoo or science?," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 176(3), pages 609-634, June.
  2. Jon Rasbash & George Leckie & Rebecca Pillinger & Jennifer Jenkins, 2010. "Children's educational progress: partitioning family, school and area effects," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 173(3), pages 657-682, July.
  3. Lorraine Dearden, 2010. "Administrative Data and Economic Policy Evaluation," The Economic Record, The Economic Society of Australia, vol. 86(s1), pages 18-21, September.
  4. Nicholas Tibor Longford, 2016. "Decision Theory Applied to Selecting the Winners, Ranking, and Classification," Journal of Educational and Behavioral Statistics, , vol. 41(4), pages 420-442, August.
  5. Nicholas T. Longford, 2020. "Performance assessment as an application of causal inference," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(4), pages 1363-1385, October.
  6. Vladimír Holý & Jan Zouhar, 2022. "Modelling time‐varying rankings with autoregressive and score‐driven dynamics," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 71(5), pages 1427-1450, November.
  7. Claudia Herresthal, 2015. "Inferring School Quality from Rankings: The Impact of School Choice," Economics Series Working Papers 747, University of Oxford, Department of Economics.
  8. Michele La Rocca & Maria Lucia Parrella & Ilaria Primerano & Isabella Sulis & Maria Prosperina Vitale, 2017. "An integrated strategy for the analysis of student evaluation of teaching: from descriptive measures to explanatory models," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(2), pages 675-691, March.
  9. Maria Ferrão, 2012. "On the stability of value added indicators," Quality & Quantity: International Journal of Methodology, Springer, vol. 46(2), pages 627-637, February.
  10. Kilchan Choi & Jinok Kim, 2019. "Latent Variable Regression Four-Level Hierarchical Model Using Multisite Multiple-Cohort Longitudinal Data," Journal of Educational and Behavioral Statistics, , vol. 44(5), pages 597-624, October.
  11. Juan Merlo & Philippe Wagner & Nermin Ghith & George Leckie, 2016. "An Original Stepwise Multilevel Logistic Regression Analysis of Discriminatory Accuracy: The Case of Neighbourhoods and Health," PLOS ONE, Public Library of Science, vol. 11(4), pages 1-31, April.
  12. Isabella Sulis & Mariano Porcu, 2015. "Assessing Divergences in Mathematics and Reading Achievement in Italian Primary Schools: A Proposal of Adjusted Indicators of School Effectiveness," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 122(2), pages 607-634, June.
  13. Isabella Sulis & Mariano Porcu, 2012. "Comparing degree programs from students’ assessments: A LCRA-based adjusted composite indicator," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 21(2), pages 193-209, June.
  14. Leonardo Grilli & Carla Rampichini, 2015. "Specification of random effects in multilevel models: a review," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(3), pages 967-976, May.
  15. Moore, Rhiannon, 2024. "Examining teacher absence from the classroom in Indian secondary schools: Power, context and inequality," International Journal of Educational Development, Elsevier, vol. 110(C).
  16. George Leckie, 2018. "Avoiding Bias When Estimating the Consistency and Stability of Value-Added School Effects," Journal of Educational and Behavioral Statistics, , vol. 43(4), pages 440-468, August.
  17. George Leckie & Rebecca Pillinger & Kelvyn Jones & Harvey Goldstein, 2012. "Multilevel Modeling of Social Segregation," Journal of Educational and Behavioral Statistics, , vol. 37(1), pages 3-30, February.
  18. Isabella Sulis & Mariano Porcu & Vincenza Capursi, 2019. "On the Use of Student Evaluation of Teaching: A Longitudinal Analysis Combining Measurement Issues and Implications of the Exercise," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 142(3), pages 1305-1331, April.
  19. Tommaso Agasisti & Francesca Ieva & Anna Maria Paganoni, 2017. "Heterogeneity, school-effects and the North/South achievement gap in Italian secondary education: evidence from a three-level mixed model," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 26(1), pages 157-180, March.
  20. Sulis, Isabella & Giambona, Francesca & Porcu, Mariano, 2020. "Adjusted indicators of quality and equity for monitoring the education systems over time. Insights on EU15 countries from PISA surveys," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
  21. Gerdes, Christer, 2015. "Does Performance Information Affect Job Seekers in Selecting Private Providers in Voucher-Based ALMP Programs?," IZA Discussion Papers 8992, Institute of Labor Economics (IZA).
  22. Francesca Giambona & Mariano Porcu & Isabella Sulis, 2017. "Students Mobility: Assessing the Determinants of Attractiveness Across Competing Territorial Areas," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 133(3), pages 1105-1132, September.
  23. Allen, Rebecca & Burgess, Simon, 2013. "Evaluating the provision of school performance information for school choice," Economics of Education Review, Elsevier, vol. 34(C), pages 175-190.
  24. Lorraine Dearden & Alfonso Miranda & Sophia Rabe‐Hesketh, 2011. "Measuring School Value Added with Administrative Data: The Problem of Missing Variables," Fiscal Studies, Institute for Fiscal Studies, vol. 32(2), pages 263-278, June.
  25. Nicholas T. Longford, 2012. "A Revision of School Effectiveness Analysis," Journal of Educational and Behavioral Statistics, , vol. 37(1), pages 157-179, February.
  26. 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.
  27. Columbu, Silvia & Porcu, Mariano & Sulis, Isabella, 2021. "University choice and the attractiveness of the study area: Insights on the differences amongst degree programmes in Italy based on generalised mixed-effect models," Socio-Economic Planning Sciences, Elsevier, vol. 74(C).
  28. 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.
  29. George Leckie, 2022. "A celebration of Harvey Goldstein’s lifetime contributions: Memories of working with Harvey Goldstein on educational research and statistics," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(3), pages 758-762, July.
  30. Steele, Fiona & Clarke, Paul & Kuha, Jouni, 2019. "Modeling within-household associations in household panel studies," LSE Research Online Documents on Economics 88162, London School of Economics and Political Science, LSE Library.
  31. Bruno Arpino & Roberta Varriale, 2009. "Assessing the quality of institutions' rankings obtained through multilevel linear regression models," Working Papers 019, "Carlo F. Dondena" Centre for Research on Social Dynamics (DONDENA), Università Commerciale Luigi Bocconi.
  32. Lucy Prior & John Jerrim & Dave Thomson & George Leckie, 2021. "A review and evaluation of secondary school accountability in England: Statistical strengths, weaknesses, and challenges for ‘Progress 8’ raised by COVID-19," DoQSS Working Papers 21-12, Quantitative Social Science - UCL Social Research Institute, University College London.
  33. Margot Bennink & Marcel A. Croon & Jos Keuning & Jeroen K. Vermunt, 2014. "Measuring Student Ability, Classifying Schools, and Detecting Item Bias at School Level, Based on Student-Level Dichotomous Items," Journal of Educational and Behavioral Statistics, , vol. 39(3), pages 180-202, June.
  34. Lucy Prior & John Jerrim & Dave Thomson & George Leckie, 2021. "A review and evaluation of secondary school accountability in England: Statistical strengths, weaknesses, and challenges for 'Progress 8' raised by COVID-19," CEPEO Working Paper Series 21-04, UCL Centre for Education Policy and Equalising Opportunities, revised Apr 2021.
  35. Samantha Parsons & Lucinda Platt, 2014. "Disabled children's cognitive development in the early years," DoQSS Working Papers 14-15, Quantitative Social Science - UCL Social Research Institute, University College London.
  36. Luis Alejandro Lopez-Agudo & Oscar David Marcenaro Gutierrez, 2016. "Identifying effective teachers: The case study of Spain," Investigaciones de Economía de la Educación volume 11, in: José Manuel Cordero Ferrera & Rosa Simancas Rodríguez (ed.), Investigaciones de Economía de la Educación 11, edition 1, volume 11, chapter 18, pages 349-366, Asociación de Economía de la Educación.
  37. Fredrik Jansson & Gunn Elisabeth Birkelund & Mats Lillehagen, 2020. "Segregation within school classes: Detecting social clustering in choice data," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-27, June.
  38. Rebecca Allen, 2013. "Measuring foundation school effectiveness using English administrative data, survey data and a regression discontinuity design," Education Economics, Taylor & Francis Journals, vol. 21(5), pages 431-446, December.
  39. Roxanne Connelly & Susan J. Murray & Vernon Gayle, 2013. "Young People and School GCSE Attainment: Exploring the ‘Middle’," Sociological Research Online, , vol. 18(1), pages 210-221, February.
  40. Luque, Mariano & Marcenaro-Gutierrez, Oscar D. & Ruiz, Ana B., 2020. "Evaluating the global efficiency of teachers through a multi-criteria approach," Socio-Economic Planning Sciences, Elsevier, vol. 70(C).
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