This study focused on the relationships between teacher characteristics and students' mathematics achievement in EU countries, including Hungary, Italy, Lithuania, Malta, Slovenia, Sweden, and Turkey, which are the only EU countries participated in TIMSS 2015 at the eighth-grade level. The data consisted of the sample of 31,969 eighth-grade…

This study uses PISA 2018 data to analyze, from a multinational perspective, whether interest in environmental issues is a determining factor of science literacy. A relational survey model is used as a quantitative research design to analyze secondary data obtained from the PISA 2018 evaluation data of 98,306 students at the age of 15 in 15…

This study aimed to comparatively review student-level and school-level factors affecting scientific literacy in Singapore, Italy and Turkey. Two-level hierarchical linear modelling (HLM) was applied to the 2015 Programme for International Student Assessment data set. The findings show that (a) the enjoyment of science, interest in broad science…

This analysis compares 15-year-old students who reported career expectations in finance in 13 education systems that participated in the financial literacy assessment of the 2015 Program for International Student Assessment (PISA). In particular, it explores (a) selected demographic characteristics of students who expected to have a career in…

Rather than assessing its causal effect on educational attainment, the authors of this article aim to use the concept of cultural capital to define a huge, complex and interconnected collection of educational and school strategies adopted by students and families and to examine the way that these strategies are related to school inequalities. Data…

The number of studies addressing issues of inequality in educational outcomes using cognitive achievement tests and variables from large-scale assessment data has increased. Here the value of using a quantile regression approach is compared with a classical regression analysis approach to study the relationships between educational outcomes and…

The purpose of this study is to determine the predicting power of mathematics achievement from ICT variables including the Internet/entertainment use (IEU), program/software use (PRGUSE), confidence in internet tasks (INTCONF) and confidence in ICT high level tasks (HIGHCONF) based on PISA 2006 data. This study indicates that the ICT variables…

Background: Large-scale cross-national studies designed to measure student achievement use different social, cultural, economic and other background variables to explain observed differences in that achievement. Prior to their inclusion into a prediction model, these variables are commonly scaled into latent background indices. To allow…

Background: The present study investigates what factors related to the school context influence student achievement on TIMSS mathematics tests across countries. A systematic review of the literature on PIRLS, TIMSS, and ICCS was conducted upstream to identify those school, teacher, and classroom factors shown to be useful predictors of student…

Using data from the Program for International Student Assessment (PISA), the size of the literacy achievement gap between 15-year-old students from two-parent and those from single-mother households were compared across 18 industrialized nations. This study found that cross-national differences exist in the association between single motherhood…