Open AccessStudy of the determinants of efficiency applying Hierarchical Linear Models in the assessment PISA 2006: the case of Spain
Author(s) -
Esther López Martín,
Enrique Navarro Asencio,
Xavier Giovanni Ordóñez Camacho,
Sonia Janeth Romero Martínez
Publication year - 2009
Publication title -
education policy analysis archives
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.727
H-Index - 46
ISSN - 1068-2341
DOI - 10.14507/epaa.v17n16.2009
Subject(s) - multilevel model , mathematics education , multilevel modelling , academic achievement , function (biology) , psychology , sociology , computer science , evolutionary biology , biology , machine learning
This paper connects Spanish students performance in science in PISA 2006 with indicators of students, teachers and institutions associated to the educational production function (Hanushek, 1989) and, consequently, with the efficiency of the educational system. The analysis has been carried out by means of multilevel analysis; this technique is appropriate for the study of hierarchical data structures, as is the case for educational information. In light of the information provided it is possible to demonstrate a relationship between resources variables, both in the student's level (for example educational resources, cultural possessions in home) and at the school level (for example ownership, computers) with the academic performance.