Pupils´ Repetition in Rio de Janeiro Public Schools: A Longitudinal Analysis

Session Information

09 SES 01 C, Investigating Relations of Student, School and Context Variables With Students’ Attitudes, Behaviors and Academic Performance

Paper Session

Time:
2016-08-23
13:15-14:45
Room:
NM-F107
Chair:
Tobias C. Stubbe

Contribution

The paper uses pupil level figures to analyze determinants of school repetition in Rio de Janeiro public schools. This is a worldwide phenomenon that presents significant variation among educational systems. We define school repetition or failure as an educational outcome that prevents the pupil to move forward to the next grade. This decision happens at the end of each school year.

In Brazil, school failure has been declining since the beginning of 1990s, however, the figures are still considered high when compared to other countries in the region – South America. In 2012, Brazil presented the fifth highest rate among all PISA participants. In the case of Rio de Janeiro, the rates have been increasing since 2007 (Crahay; Baye, 2013). It is possible to observe two transitions where pupils are more likely to fail – 3rd to 4th grade, eight year old pupils, and 5th to 6th grade, eleven-year-old pupils. More recent data from 2014, shows that around one quarter of all pupils enrolled in 3rd grade in Rio public schools were retained at the end of the school year. For the 6th grade, around 18% were retained and obligated to attend the same grade in the following year.

The subject of school repetition has been a concern for educational researchers in Brazil for at least 30 years. Nonetheless, very few studies have analyzed, with robust designs, the effects of repetition on pupils´ academic trajectory and, more importantly, the determinants that can help predict the phenomena (Riani; Silva; Soares, 2012). Which variables are associated with school failure? This study will consider pupil and school level variables to analyze the phenomenon using a longitudinal model.

There is one main argument used by teachers and educational researchers in order to justify the need to hold back pupils at the end of a school year. The rationale suggests that these pupils have not learned what was expected for each particular grade. In this way, it would be necessary, and even beneficial, for the pupils to have a second chance to learn and consolidate the subjects. There is an idea that allowing the pupil to progress without knowing the subjects can be even more harmful. 

However, more recent and robust studies analyzing the impact of school failure suggest that this practice is not associated with an increase pupils’ academic achievement. In fact, there is some evidence suggesting that repetition is associated with a decline in academic performance. Not only that, facing school failure increases the chances of a second repetition or school dropout (Hattie, 2009; Manacorda, 2006; 2012).

Many cities in Brazil, including Rio de Janeiro, present high proportion of pupils with multiple school failures. As an example, in 2014, considering all pupils enrolled from 1st to 9th grades – pupils from 6 to 14 years old – in Rio public schools, around half had experienced at least one school failure and around 20% two or more school failures. This particular scenario creates an additional problem. It would not be unlikely to observe pupils with very different ages studying in the same classroom. The age difference is described by teacher, head teacher, principals and even parents as a problem to “classroom climate”. To deal with this situation, many educational systems in Brazil have created “special classes” for pupils with some early grade retentions. These classes were intended to provide a better opportunity for those pupils. The concern is that clustering disadvantaged pupils in specific classrooms or schools could create even worst educational opportunities as observed before in the regular classes (Bartholo, 2014). 

Method

The city of Rio de Janeiro has the largest public system of municipal schools in Brazil. There are around 1,300 schools providing pre-school and Fundamental Educational. In Brazil, the organization of grades and levels at schools is as follows: a) Pre-School for pupils 4-5 years old and is not compulsory; b) Fundamental Education is compulsory and attended by pupils 6-14 year-old pupils. It is usually divided into five initial grades (First Segment) and the last four last grades (Second Segment); c) High School, caters for pupils aged 15-17 and is not compulsory. The paper presents data provided by the Rio de Janeiro Municipal Educational Department for all public schools from 2006 to 2014. It focuses on the only mandatory period of education, Fundamental Education, analyzing one entire cohort (1st grade 2006) – around 65,000 cases – from nine consecutive years. The study presents a longitudinal design and tracks all pupils from one specific cohort from 2006 to 2014 (Diggle, 2001; Singer; Willet, 2003). The models will estimate two educational outcomes: a) chance of school repetition; b) chance to be allocated into a “special class” program. In theory, only pupils with two or more school failures could be send to “special classes”, however, descriptive data have showed that not all pupils with multiple repetition end up in a “special class”. The models will present covariate at pupil and school level in order to understand which characteristics are associated with both outcomes. A three level hierarchical model aims to estimate separately the chance to experience school failure and to allocation in a “special program” (Goldstein, 2003). In the model, time is level one, pupils´ characteristics are second level variables and schools´ characteristics third level. Key variables in the model are: 1) sex; 2) colour ; 3) parental education; 4) poverty; and 5) biparental family (child lives with both father and mother). The second level variables (school level) include: 1) proportion of poor pupils; 2) proportion of non-white pupils; 3) proportion of parents’ who did not finish fundamental education; 4) Teachers qualification; 5) School principal qualification; and 6) School Complexity Index.

Expected Outcomes

This study presents initial evidence for one specific cohort of pupils enrolled in Rio de Janeiro public schools. It is the first study to track pupils along all grades of Fundamental Education. Future studies should replicate the models using different cohorts in an attempt to observe stability of outcomes. The study also presents the limitation of not using standardized tests as covariates in the model. The explanation is simple. Test Rio (Prova Rio) started in 2009, therefore, it would not be possible to track an entire cohort starting in this particular period. Preliminary results suggest that disadvantaged pupils are more likely to experience multiple school failure and be allocated into “special class”. Apparently boys also have a higher chance of repetition, even when controlling for all other covariates. Some school level variables were also significant, including “school complexity index”, which suggests that first allocation in public network can impact the probability of experiencing school failure.

References

Bartholo, T. L. School Segregation in Rio de Janeiro Public Schools: Causes and Consequences. PhD Thesis: Federal University of Rio de Janeiro, 2014. Crahay, M. & Baye, A. (2013) Existem escolas justas e eficazes? Esboço de resposta baseado no PISA 2009. Cadernos de Pesquisa, v.43 n.150 p.858-883. Diggle. P. J. The analysis of Longitudinal Data. Oxford Statistical Science series. Oxford University Press, 2001. Goldstein, H. Multilevel Statistical Models. Kendall’s library of statistics; 3.Arnold London, 2003. Hattie, J. Visible Learning for Teachers. Routledge: New York, 2009. Manacorda, M. Grade Failure, Drop out and Subsequent School Outcomes: Quasi –Experimental Evidence form Uruguayan Administrative Data. In: Centre for the Economics of Education Seminar, 13 Dec 2006, London, UK. ftp://www.cemfi.es/pdf/papers/wshop/Manacorda.pdf ________. The cost of Grade Retention. The Review of Economics and Statistics, v. 94, n.2, May, 2012, p. 596-606. Riani, J. L. R.; Silva, V. C. & Soares, T. M. Reapeating or advancing? An analysis of school failure in public schools of Minas Gerais. Educação e Pesquisa, São Paulo, v. 38, n. 03, p. 623-636, jul-set., 2012. http://www.scielo.br/pdf/ep/v38n3/en_06.pdf Singer, J. D. Willet, J. B. Applied Longitudinal Data Analyysis: Modeling Change and Ocurrence. Oxford University Press, New York, 2003.

Author Information

Tiago Bartholo (presenting / submitting)
Federal University of Rio de Janeiro, Brazil
Federal University of Rio de Janeiro
Educational Foundations
Rio de Janeiro
Federal University of Rio de Janeiro, Brazil
Escola Nacional de Ciências Estatísticas - Ence
Rio de Janeiro

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