Ideb school goals: an alternative calculation proposal

Authors

  • Luís Antônio Fajardo Pontes Centro de Políticas Públicas e Avaliação da Educação (CAEd/UFJF)
  • Tufi Machado Soares Universidade Federal de Juiz de Fora (UFJF)

DOI:

https://doi.org/10.18222/eae.v27i66.3956

Keywords:

Educational Indicators, Ideb, Longitudinal Hierarchical Linear Models, Educational Evaluation.

Abstract

This paper aims is to propose a new methodology to calculate the Índice de Desenvolvimento da Educação Básica (Ideb) [Basic Education Development Index] targets. The main reason for this is the realization that the Ideb targets, as they have been officially calculated, take into account only students’ approval data and performance assessed for a single year (2005) and based on data of the Brazilian School Census and the Prova Brasil. Besides that, the official calculation also fails to explicitly include the mean school socioeconomic status, which is nonetheless strongly correlated with school performance. Therefore, this paper analyzes a historical series of data of Minas Gerais state public schools in order to adjust it to a longitudinal hierarchical linear model which calculates the Ideb targets in a way that is similar, though not exactly the same to the one officially used, and that also takes into account the problems presented in the study.

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Author Biographies

Luís Antônio Fajardo Pontes, Centro de Políticas Públicas e Avaliação da Educação (CAEd/UFJF)

Doutor em Educação pela UFJF; Analista de dados no Centro de Políticas Públicas e Avaliação da Educação (CAEd/UFJF).

Tufi Machado Soares, Universidade Federal de Juiz de Fora (UFJF)

Professor do Departamento de Estatística e do Programa de Pós-Graduação em Educação da UFJF; Coordenador da Unidade de Pesquisa do Centro de Políticas Públicas e Avaliação da Educação (CAEd/UFJF).

References

BRASIL. Instituto Nacional de Estudos e Pesquisas Educacionais Anísio Teixeira. Índice de desenvolvimento da educação básica: nota técnica. Brasília, DF: Inep, 2010.Disponível em: <http://www.inep.gov.br/download/Ideb/Nota_ Tecnica_n1_concepcaoIdeb.pdf>. Acesso em: 18 set. 2010.

BRASIL. Instituto Nacional de Estudos e Pesquisas Educacionais Anísio Teixeira. Metodologia utilizada para o estabelecimento das metas intermediárias para a trajetória do Ideb no Brasil, estados, municípios e escolas: nota técnica. Brasília, DF: Inep, 2012. Disponível em: <http://portalideb.inep.gov.br/index. php?option=com_content&view=article&id=40&Itemid=58>. Acesso em: 18 mar. 2012.

BRAUN, H.; WAINER, H. Value-added modeling. In: RAO, C. R.; SINHARAY, S. (Ed.). Handbook of statistics. Amsterdam: Elsevier, 2007.

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BRYK, A.; RAUNDENBUSH, W. Hierarchical linear models: applications and data analysis methods. Thousand Oaks, CA: Sage, 2012.

HOGAN, T. Introdução à prática de testes psicológicos. Rio de Janeiro: LTC, 2006.

KORETZ, D. Measuring up: what educational testing really tells us. Cambridge: Harvard University, 2008.

O´CONNELL, A. A.; MCCOACH, D. B. (Ed.). Multilevel modeling of educational data. Charlotte, CN: IAP, 2008.

PONTES, L.; SOARES, T. M. Volatilidade dos resultados de proficiência e seu impacto sobre as metas do Ideb nas escolas públicas de Minas Gerais. In: REUNIÃO DA ASSOCIAÇÃO BRASILEIRA DE AVALIAÇÃO EDUCACIONAL, 8., 2015, Florianópolis. Anais... Florianópolis, 2015.

SOARES, F.; XAVIER, F. Pressupostos educacionais e estatísticos do Ideb. Educação & Sociedade, Campinas, SP, v. 34, n. 124, p. 903-923, jul./set. 2013.

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Published

2016-12-22

How to Cite

Pontes, L. A. F., & Soares, T. M. (2016). Ideb school goals: an alternative calculation proposal. Estudos Em Avaliação Educacional, 27(66), 690–715. https://doi.org/10.18222/eae.v27i66.3956

Issue

Vol. 27 No. 66 (2016): set./dez. 2016

Section

Articles

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Copyright (c) 2016 Estudos em Avaliação Educacional

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