The purpose of this study is to examine the effect of missing data imputation methods, namely regression imputation (RI), multiple imputation (MI) and k-nearest neighbor (kNN) on differential item functioning (DIF). In this regard, the datasets used in the research were created by deleting some of the data via the missing completely at random…

Globally, the private school share of enrollment increased from about 14 percent in 2000 to about 18 percent in 2019. We estimate the systemic effect of private enrollment share on learning outcomes. Estimates of the systemic effect of private school enrollment capture any competitive effects as well as any differences between public and private…

Our study is among the first to provide a comprehensive review of cross-national patterns of gender differences in various STEM-related constructs--achievement, beliefs, attitudes, aspirations, and participation, concerning country-level gender equality. We complement our review with empirical analyses utilizing rigorous methodologies and richer…

The purpose of the current study is to examine malleable school practices and norms that contribute to inequitable school learning environments based on student background. Using multilevel structural equation modeling (SEM) with the U.S. sample of PISA 2015, this study examines the extent to which student-level access to inquiry-based science…

In this paper, we analyze recently collected data that conducts a unique assessment of high school student performance for over two thousand students from five Chinese provinces. Across three domains of scientific intelligence tested, we document heterogeneous gender gaps in academic performance. These differences generally arise due to…

Academic self-concept is understood as a multidimensional, hierarchical construct. Multidimensionality refers to the subject-specific differentiation of academic self-concepts, whereas hierarchy refers to the aggregation of more specific facets of self-concepts into more general ones. Previous research demonstrated that students distinguish…

The OECD Programme for International Student Assessment (PISA) examines what students know in mathematics, reading and science, and what they can do with what they know. It provides the most comprehensive and rigorous international assessment of student learning outcomes to date. Results from PISA indicate the quality and equity of learning…

This study analyzes how students' reported teaching practices of their teachers and their attitudes towards science are related to the science achievements of four high-performing countries/economies in PISA 2015: Hong Kong, China, Canada, and Finland. A study of these regions can shed light on the commonalities of and differences between the…

The knowledge, skills and attitudes of prospective pre-school teacher towards science education enable more effective classroom practices and science teaching. Teaching scientific processes at an early age affects students' attitudes towards science in the coming years. In this context, this study was designed to examine the relationship between…

In the last decade, the usage of advanced statistical models is growing rapidly in many different disciplines. However, the Quantile Regression Mixture Model (QRMIX), which is a developed approach of the Finite Mixture Model (FMM), is an applicable new method in the educational literature. The aim of the proposed study was to determine factors…

Achieving gender equality in education is not only a matter of social justice: it is a catalyst for economic growth and societal well-being. This OECD report explores gender disparities in education in the Latin American and Caribbean (LAC) region, drawing on data from the Programme for International Student Assessment (PISA) and the Programme for…

We aimed to examine the effect of ICT use, parental support and student hindering on science achievement in Turkey, USA and South Korea with using PISA 2018 data. PISA is one of the biggest international assessment study aiming comparison of students' academic capabilities in science, mathematics and reading among participant countries. For this…

The United Arab Emirates (UAE) has undergone immense transformation since the discovery of oil in the late 1950s, and the educational sector has seen vivid reform. The UAE government is increasingly seeking diversification of its economy and, as a result, the country's goals heavily emphasise education in the development of its Knowledge Economy.…

There is a persistent stereotype that gifted students feel ostracized and have less sense of belonging than their normative peers. To explore this stereotype, data from 9251 15-year-old students in the U.S. were used to explore differences in the sense of belonging across achievement levels in various domains (i.e., mathematics, science, and…

This study aims to investigate how Turkish students' involvement in information and communication technologies (ICT) predicts their math and science performance in the 2018 Programme for International Student Assessment (PISA) test. The research also tests demographic variables including socioeconomic status (SES) and gender as covariates. The…