| Abstract [eng] |
International education survey PISA (Programme for International Student Assessment) examine 15-yers-old reading, mathematical and science literacy. A lot of information about student‘s, theirs hobbies, knowledge and use of information and comunication technology, home and school environment and etc. is collected during PISA survey. The collected information is valuable source of information for researchers, policy makers, educators and ect. The main purpose of this work, “Analysis of Lithuanian Students Literacy Using International Survey PISA 2009 Data“, is using hierarchical regression to find the students' mathematical literacy dependency of training and learning environment factors. The students are first-level objects and schools - at the second level, so data analysis should take into account the data hierarchy. Unconditional hierarchical model analysis revealed that 32 % of Lithuanian 15-years-old students’ mathematical literacy outcomes determined by the school. Best hierarchical linear model with relevant variables was done using hierarchical linear modelling. Also a prognostic equation of Lithuaninan 15-years-old students matematic literacy was created. |
