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