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L'influenza dei fattori socio economici sulle competenze degli studenti italiani. Un'analisi multilevel dei dati PISA 2006

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  • Claudio Quintano
  • Rosalia Castellano
  • Sergio Longobardi

Abstract

The influence of social and economic factors on competencies of Italian students. A multilevel analysis of data PISA 2006 - This work aims to investigate the existence and the size of territorial differences in Italian students? scientific competencies. The "Programme for International Student Assessment" (PISA) survey, carried out by the Organization of Economic Cooperation and Development (OECD) three-yearly, is a rigorous and wide international comparative work on fifteen yearold students? school performance. The survey makes use of very advanced methodologies and allows both to evaluate the students?performance and to gather data about their families and their socio-economic context which, together with several institutional factors, may influence the results of the educational process. Methods and Results The paper provides a multilevel analysis of the way that test scores are associated with individual and family background information and with characteristics of the school of the 15 year old respondents to the survey. Conclusions We find that school level context variables are very relevant and the economicsocial- cultural status plays a very important role to explain the low performance of Southern Italy students. JEL: C3, I21 Keywords: multilevel analysis, OECD-PISA, students assessment, socio-economic context, CIPP model, territorial differences Parole chiave: analisi multilivello, OECD PISA, valutazione degli studenti, contesto socioeconomico, CIPP model, divari territoriali

Suggested Citation

  • Claudio Quintano & Rosalia Castellano & Sergio Longobardi, 2009. "L'influenza dei fattori socio economici sulle competenze degli studenti italiani. Un'analisi multilevel dei dati PISA 2006," RIVISTA DI ECONOMIA E STATISTICA DEL TERRITORIO, FrancoAngeli Editore, vol. 2009(2), pages 109-149.
    • Handle: RePEc:fan:restre:v:html10.3280/rest2009-002004
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    Citations

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    Cited by:

    1. Guarini, Giulio & Laureti, Tiziana & Garofalo, Giuseppe, 2018. "Territorial and individual educational inequality: A Capability Approach analysis for Italy," Economic Modelling, Elsevier, vol. 71(C), pages 247-262.
    2. Ferraro, Simona & Põder, Kaire, 2018. "School-level policies and the efficiency and equity trade-off in education," Journal of Policy Modeling, Elsevier, vol. 40(5), pages 1022-1037.
    3. Cristian Barra & Marinella Boccia, 2022. "What matters in educational performance? Evidence from OECD and non-OECD countries," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(6), pages 4335-4394, December.
    4. Camanho, Ana S. & Varriale, Luisa & Barbosa, Flávia & Sobral, Thiago, 2021. "Performance assessment of upper secondary schools in Italian regions using a circular pseudo-Malmquist index," European Journal of Operational Research, Elsevier, vol. 289(3), pages 1188-1208.
    5. Agasisti, Tommaso & Cordero-Ferrera, Jose M., 2013. "Educational disparities across regions: A multilevel analysis for Italy and Spain," Journal of Policy Modeling, Elsevier, vol. 35(6), pages 1079-1102.
    6. Tommaso Agasisti & Patrizia Falzetti & Mara Soncin, 2016. "Italian school principals’ managerial behaviors and students’ test scores: an empirical analysis," Working papers 43, Società Italiana di Economia Pubblica.

    More about this item

    Keywords

    multilevel analysis; oecd-pisa; students assessment; socio-economic context; cipp model; territorial differences parole chiave: analisi multilivello; oecd pisa; valutazione degli studenti; contesto socioeconomico; cipp model; divari territoriali;
    All these keywords.

    JEL classification:

    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education

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