Inquiry-based practices have important impacts on student science learning outcomes, yet the psychological mechanisms behind the relationships are less clear. This study aimed to explore the mediating effects of science attitudes in the relationship between student-perceived inquiry-based practices and scientific literacy using data from eight…

Science academic achievement is a key construct for examining students' science learning outcomes. While international comparative assessments like TIMSS and PISA have shown high science achievement of Korean middle school students, there is a lack of comprehensive investigation of factors influencing the achievement using domestic data.…

One major challenge of longitudinal data analysis is to find an appropriate statistical model that corresponds to the theory of change and the research questions at hand. In the present article, we argue that "continuous-time models" are well suited to study the continuously developing constructs of primary interest in the education…

In educational and psychological research, it is common to use latent factors to represent constructs and then to examine covariate effects on these latent factors. Using empirical data, this study applied three approaches to covariate effects on latent factors: the multiple-indicator multiple-cause (MIMIC) approach, multiple group confirmatory…

With an aim to inform school-based antibullying interventions, this study examined mediating roles of school belonging, self-efficacy, and meaning in life between bullying victimization and subjective well-being. Using US student data from the 2018 round of the Program for International Student Assessment, results of structural equation modeling…

Given that teacher shortage is an international problem, teacher job satisfaction merits closer attention. Not only is job satisfaction closely related to teacher retention, but it also contributes to the well-being of teachers and their students, overall school cohesion and enhanced status of the teaching profession. This study investigates the…

This study provides a comparison of the results of latent class analysis (LCA) and mixture Rasch model (MRM) analysis using data from the Trends in International Mathematics and Science Study -- 2011 (TIMSS-2011) with a focus on the 8th-grade mathematics section. The research study focuses on the comparison of LCA and MRM to determine if results…

Disciplinary climate and opportunity to learn (OTL) are considered as effectiveness-enhancing factors that can improve mathematics achievement. In this study, we investigated whether the school-level aggregation of student-reported OTL could yield reliable and valid measures, and then explored the relationships among disciplinary climate, OTL, and…

Students' intercultural competence and reading ability are an essential aspect of their education. Intercultural competence, defined as respect for the cultural views, beliefs, and traditions of others, is a necessary skill for effective and appropriate communication. Using a multidimensional model, this study investigated the effect of…

The purpose of the study is to analyze the affective traits that affect mathematics achievement through Structural Equation Modeling (SEM) as a traditional regression model and Multivariate Adaptive Regression Splines (MARS), as one of the data mining methods. Structural Equation Modeling, one of the regression-based methods, is quite popular for…

Collaborative problem solving (CPS) is an essential 21st century skill at the intersection of social collaboration and cognitive problem solving, and is increasingly integrated in educational programs, such as the influential Programme for International Student Assessment (PISA). As research has identified the impact of the Big Five personality…

Relationships between students' perceptions and their non-cognitive outcomes (epistemological beliefs, self-efficacy and attitudes to science) were investigated through secondary analysis of data from 14,167 United Arab Emirates students who participated in the Programme for International Student Assessment (PISA). Structural equation modeling…

Information and communication technology (ICT) is key to educational development. This study explores the mechanism influencing the use of ICT on students' science literacy. We utilized two-level hierarchical linear models and structural equation models to analyze data collected from the 2015 Program for International Student Assessment (PISA) in…

A standardised financial literacy curriculum ensures that all students in a school system receive financial knowledge, which offers them the necessary support to make informed decisions about money management and practise appropriate financial behaviour. In Hong Kong, all secondary schools supposed to teach financial literacy via a standardised…

Our purpose was to examine different approaches to modeling the time-varying nature of exceptionality classification. Using longitudinal data from one state's mathematics achievement test for 28,829 students in Grades 3 to 8, we describe the reclassification rate within special education and between general and special education, and compare four…