This study focuses on the relationship between students' early academic skills and academic achievement. In this context, it is aimed to examine the predictors of students' early literacy and numeracy skills on their later math and science achievements across countries. A quantitative research approach using a correlational survey design was…

Covariates have been used in mixture IRT models to help explain why examinees are classed into different latent classes. Previous research has considered manifest variables as covariates in a mixture Rasch analysis for prediction of group membership. Latent covariates, however, are more likely to have higher correlations with the latent class…

The present study was aimed to investigate whether Finnish and Danish students' math achievement differed and which student-level factors, if any, explained the achievement gaps and whether teacher participation in decision making and teacher morale, among the school-level factors, explained the achievement gaps in Finland and Denmark. To this…

This correlative study examined the role of teacher qualities and working conditions in 4th- and 8th-grade Turkish students' mathematics achievement in TIMSS 2019. Teacher qualifications were defined based on the teacher questionnaire used in TIMSS 2019 and were discussed in three categories: personal characteristics, teacher qualifications, and…

This study aims to identify which socio-economic status (SES) variables have the best predictive validity for academic achievement, based on the international data sets of the Programme for International Student Assessment (PISA) in 2012, 2009, 2006, and 2003. From among 10 SES measures, two composite variables - Index of economic, social and…

The main drive for this study is to look into potential predictors of educational achievement using OECD's original Pisa 2018 dataset. This paper explores (i) access to ICT, (ii) physical characteristics of learning environment at school, (iii) quality of teaching staff and educational material, (iv) student characteristics and learning climate,…

This study explored the extent to which teachers' instrumental (i.e., tangible aid to promote learning) and appraisal support (i.e., teacher feedback) enhanced students' achievement in mathematics. Participants included 13,950 fifteen-year-old Canadian students who participated in the 2012 Programme for International Student Assessment. Based on…

Numeracy activities in early childhood have been linked to children's mathematical performance in subsequent years. However, few studies have examined associations between early numeracy play and children's subsequent attitudes towards mathematics. This study draws on the Trends in International Mathematics and Science Study (TIMSS) 2011…

The present paper investigates the power of personality to predict important life outcomes in the context of the Programme for the International Assessment of Adult Competencies (PIAAC). On the most global level, personality can be described by the Big Five dimensions, extraversion, agreeableness, conscientiousness, emotional stability, and…

This study compared the direct, indirect, and total effects of information, communication, and technology (ICT) variables on math achievement for second-generation immigrant, first-generation immigrant, and nonimmigrant students. A path model was used to analyze U.S. nationally representative data from the Program for International Student…

At a time when the national conversation is focused on lagging upward mobility, it is no surprise that many educators point to poverty as the explanation for mediocre test scores among U.S. students compared to those of students in other countries. If American teachers in struggling U.S. schools taught in Finland, says Finnish educator Pasi…

Mathematics competency is fast becoming an essential requirement in ever greater parts of day-to-day work and life. Thus, creating strategies for improving mathematics learning in students is a major goal of education research. However, doing so requires an ability to look at many aspects of mathematics learning, such as demographics and…

In this study, it is aimed to examine the effect of classroom assessment on science and mathematics achievements. For this purpose, hierarchical linear modeling (HLM) is performed using variables of like learning science/maths, engage teaching in science/maths, confidence in science/maths, and home resources for learning variables at the student…

Turkish students on average had lower scores than OECD countries on mathematics, science, and reading at international assessment programs. As PISA measures the extent to which 15-year-old students are prepared to handle the challenges they may encounter in their future lives, and evaluates students' ability to reflect and to apply their knowledge…

This paper explores parental involvement using principal and parent survey reports to examine whether parents' involvement in their children's schools predicts academic achievement. Survey data from principals and parents of seven countries from the PISA 2012 database and hierarchical linear modelling were used to analyse between- and within-…