This exploratory study examined whether instruction aligned with the Institute of Education Sciences recommendations (i.e., use of worked examples, representations, deep questions) predicts student learning of early algebra, particularly inverse relations, in elementary classrooms. Instructional quality was determined through an…

Research Findings: This study investigates the role of fine motor and mathematics instruction in mathematics achievement in an international sample of kindergarteners from the United States and China. Multilevel modeling was used to assess the interaction between students' entering skills and classroom time spent on basic math, higher-order math…

The present study examined data from the 2015 Trends in International Mathematics and Science Study to address cross-cultural differences in 4th grade students' attitudes towards science and how students' sense of school belonging (SSSB) scores were related to attitude towards science. Regression results indicated that SSSB emerged as a…

The purpose of this study is to predict the mathematical literacy levels of the students participating in the research through the data obtained from PISA 2015 exam organized by OECD using data mining and to determine the variables that affect mathematics literacy. For this purpose, students' mathematics literacy levels and the variables that…

Educational opportunities and resources for students differ around the world. Trends in International Mathematics and Science Study (TIMSS) highlights students' achievement, home resources, and attitudes towards mathematics and science. In this study, we sought to identify home resources and attitudes towards mathematics factors that significantly…

Data mining has been successfully used by financial and retail companies since the mid-1960's to create predictive models and reveal unexpected relationships. However, it remains underutilized as a tool in educational research. Large-scale standardized assessment programs such as the Trends in International Mathematics and Science Study (TIMSS)…

This study examined the relationships among school leadership practices, parental involvement, disciplinary climate, students' perceptions on reading, and student achievement with sample obtained from the combined data of Progress in International Reading Literacy Study (PIRLS) and Trends in International Mathematics and Science Study (TIMSS) 2011…

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 purpose of this study is to examine relationships among the such variables as socioeconomic status, math self-efficacy, anxiety, and mathematics achievement using structural equation modeling. A sample group of 8,806 students from England, Greece, Hong Kong, the Netherlands, Turkey, and the USA participated in the PISA 2012. To show how much…

Background: National ranking from the triennial Programme of International Student Assessment (PISA) often serves as a barometer of national performance and human capital. Though excessive student- and school-level covariates (n > 700) may prove intractable for traditional least-squares estimate procedures, shrinkage methods may be more…

Academically resilient students are those students who are academically successful, despite coming from the socioeconomically disadvantaged backgrounds that have typically predicted poorer educational outcomes. These students are an important group to study because if policymakers can understand what factors may have contributed to their…

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…

Comparative international assessments of academic achievement consistently indicate that US students trail behind many peers, particularly those from east Asia, in math and science. Traditional efforts to explain this finding have focused on identifying characteristics that might differentiate the United States from top-performing countries.…

To identify ways that national culture, school characteristics, and individual attributes impact the victimization of students in Grade 8, data from the United States and three East Asian countries (i.e., Japan, S. Korea, and Taiwan) were compared using the 2011 Trends in International Mathematics and Science Study (TIMSS) and Hierarchical Liner…

Math proficiency is a strong predictor of postsecondary attainment, yet cross-national comparative assessments show that U.S. students consistently score below many of their peers, especially those in East Asia. Similar math achievement disparities exist across ethnic/racial groups within the U.S., where Asian American students routinely…