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Using Stata's capabilities to assess the performance of Latin American students in Mathematics, Reading and Science


  • Roy Costilla

    () (LLECE/UNESCO Santiago)


Stata is a very good tool to analyze survey data. It is able to consider many important aspects of complex survey design and the availability of alternative variance estimation methods. Through the use of matrix and macro language it also allows the user to store and manage output results conveniently in order to automate the entire estimation and testing process. The presentation will discuss the estimation of the main results of the Second Regional Comparative and Explanatory Study – SERCE, an assessment of the performance in the domains of Mathematics, Reading and Science of third and sixth grades students in sixteen countries of Latin America in 2005/2006. In particular, it will consider the estimation of the mean scores and their variability by country, areas, grades and subpopulations. It will also present the comparisons made in order to check for the differences in performance among countries and subpopulations.

Suggested Citation

  • Roy Costilla, 2008. "Using Stata's capabilities to assess the performance of Latin American students in Mathematics, Reading and Science," Fall North American Stata Users' Group Meetings 2008 14, Stata Users Group.
  • Handle: RePEc:boc:fsug08:14

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    Cited by:

    1. Juan Pablo Valenzuela & Gabriela Gómez V. & Carmen Sotomayor, 2012. "The role of reading engagement in a case of national achievement improvement: analysis of Chilean results in PISA 2001-2009," Working Papers wp367, University of Chile, Department of Economics.
    2. Valenzuela, Juan Pablo & Gómez Vera, Gabriela & Sotomayor, Carmen, 2015. "The role of reading engagement in improving national achievement: An analysis of Chile's 2000–2009 PISA results," International Journal of Educational Development, Elsevier, vol. 40(C), pages 28-39.

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