The purpose of this study was to evaluate the population invariance of equating functions across country subgroups in TIMSS 2015 mathematics tests in relation to the raw-score distribution, DIF, and DTF. We used equipercentile and IRT observed-score equating methods. The results of the study indicate that there is a relationship between the…

This study investigates the relationships between students' self-concept, self-efficacy, and achievement in mathematics, considering contextual factors such as socioeconomic status, gender, and immigration background, by using Swedish data from PISA 2003 and 2012. Additionally, these relationships between the two types of schools in Sweden are…

One of the main objectives of international large-scale assessments is to make comparisons between different countries, education policies, education systems, or subgroups. One of the main criteria for making comparisons between different groups is to ensure measurement invariance. The purpose of this study was to test the measurement invariance…

Data literacy is increasingly important in today's data-driven world. Students across many educational systems first formally learn about data in elementary school not as a separate subject but via the mathematics curriculum. This experience can create tensions in the priorities of learning and assessment given the presence of other foundational…

The Programme for International Student Assessment (PISA) has become the world's largest comparative assessment of academic achievement. While hundreds of studies have examined the factors predicting student achievement in PISA, a comprehensive overview of the main predictors has yet to be completed. To address this gap, we conducted a systematic…

The importance of the opportunity to learn (OTL) for mathematics achievement has been extensively researched. However, there were still unanswered questions regarding OTL's measurement, analytical level, and relationship with motivational beliefs. To fill in the gaps, we aimed to (1) scrutinize the reliability and validity of OTL, (2) investigate…

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…

Inequality in the shadow? Cross-national comparisons of the effects of additional instruction on math and science performance based on PISA 2018 data Background Many educational systems worldwide are experiencing a growing demand for shadow education, which often takes the form of outside-school educational activities such as private tutoring…

The advantages and disadvantages of single-sex schooling continue to be a source of policy and public debate. Previous empirical evidence is somewhat ambiguous, with some studies finding a positive impact of single-sex schooling on education achievement and others finding no differences across school types. The relationship between single-sex…

Measurement invariance is crucial for making valid comparisons across different groups (Kline, 2016; Vandenberg, 2002). To address the challenges associated with invariance testing such as large sample size requirements, the complexity of the model, etc., applied researchers have incorporated parcels. Parcels have been shown to alleviate skewness,…

While achievement gaps have been well-established, much remains to be understood about the manner and extent to which school leadership either increases or decreases student access to opportunity to learn. The current study uses nationally representative samples of U.S. and Flemish students in Grade 4 from the 2011 Trends in International…

Automated scoring of free drawings or images as responses has yet to be used in large-scale assessments of student achievement. In this study, we propose artificial neural networks to classify these types of graphical responses from a TIMSS 2019 item. We are comparing classification accuracy of convolutional and feed-forward approaches. Our…

Results of the TIMSS 2019 reveal that Kosovar students have lower achievement levels in both mathematics and science. In understanding this gap in achievement, it is of value to take a closer look at factors that may influence student learning. Results of this analysis reveal that factors such as home and school resources influence achievement…

The aim of this study is to examine the effect of self-confidence on mathematics achievement. In this meta-analysis, the effect of self-confidence on mathematics achievement was analysed using the Trends in International Mathematics and Science Study (TIMSS). In the first stage of the study, the average effect size of self-confidence on…

This research proposes a new statistic for testing latent variable distribution fit for unidimensional item response theory (IRT) models. If the typical assumption of normality is violated, then item parameter estimates will be biased, and dependent quantities such as IRT score estimates will be adversely affected. The proposed statistic compares…