Elias P. Kourkoutas|Stefanos Giakoumatos
Statistical analysis and evaluation of Greek students’ background determinants on Science literacy
University of Peloponnese|University of Peloponnese
abstract pisa program developed oecd first time appeared 2000 since 90 countries 3000000 students worldwide participated oecd forum students participate every 3 years assessed successfully face solve problems everyday situations using basic knowledge acquired subjects taught school main goal paper investigate determinants student performance particular students characteristics family background school characteristics type school geographic region curriculum class size affect science performance used pisa 2018 data case greece country requires research greek students perform average mean across oecd countries sample consisted 6403 greek students aged 1516 enrolled 242 schools analysis carried spss statistical program using multiple regression models ols well quantile regression qr method comprehensive study evaluate whether variables affect different way low highachieving students results indicated family background student characteristics affect students performance significantly different degree high lowperforming students contrast class size shown affect almost entire performance distribution moreover access material goods directly related education showed negative effect instead socioeconomic status family escs strong positive predictor scientific literacy finally greek education system suffers several disparities different study programs geographical regions conclusions indicate educational legislative reforms targeted take account variance student achievement focus reduce gap high lowperforming students lead robust education system keywords pisa 2018 quantile regression qr ols scientific literacy greek students