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Correcting for sampling problems in PISA and the improvement in Portuguese students' performance

Author

Listed:
  • Adriana Ferro
  • Pedro Freitas
  • Luis Catela Nunes
  • Ana Balcao Reis
  • Carmo Seabra

Abstract

PISA uses a complex sampling procedure based on stratification variables chosen by the participating countries’ authorities. In this paper we analyse the representativeness of the samples used in terms of the distribution of students per grade and track of studies for Portugal. For the three exam years under analysis (2006, 2009 and 2012) a meaningful bias between the effective student distribution and PISA samples was found. We provide recalculated PISA scores that correct for the sample bias. We find that from 2009 to 2012, contrary to the stagnation denoted in the PISA results, the recalculated scores show an improvement in the Portuguese student performance. We also decompose the evolution of the scores into two effects: (i) change in the student population distribution by grade and track, and type of school; and (ii) evolution in the performance of each type of student. The results show that for the whole period the evolution of the students’ scores is the main driver of the increase in PISA results, with the change in the population structure playing a weaker role. Although we focus on the Portuguese case, similar problems of representativeness are expected to arise in other countries with high retention rates, affecting the grade of study of 15-year-olds.

Suggested Citation

  • Adriana Ferro & Pedro Freitas & Luis Catela Nunes & Ana Balcao Reis & Carmo Seabra, 2015. "Correcting for sampling problems in PISA and the improvement in Portuguese students' performance," Nova SBE Working Paper Series wp591, Universidade Nova de Lisboa, Nova School of Business and Economics.
  • Handle: RePEc:unl:unlfep:wp591
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    Cited by:

    1. Laura Zieger & John Jerrim & Jake Anders & Nikki Shure, 2020. "Conditioning: How background variables can influence PISA scores," CEPEO Working Paper Series 20-09, UCL Centre for Education Policy and Equalising Opportunities, revised Apr 2020.

    More about this item

    Keywords

    PISA; sampling; educational achievement; age-based assessment;
    All these keywords.

    JEL classification:

    • I20 - Health, Education, and Welfare - - Education - - - General
    • I25 - Health, Education, and Welfare - - Education - - - Education and Economic Development

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