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…

Previous research on the implications of early-tracking education systems has not specifically focused on how studying in academic and non-academic tracks shapes the features and characteristics of shadow education (private tutoring) that students are involved in. The study compares the scale and features of private tutoring and the underlying…

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…

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…

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 aim of this study is to investigate the relationship between a variety of non-cognitive factors and the mathematics performance levels of eighth grade students in the Trends in International Mathematics and Science Study (TIMSS). The sample group consists of 4077 Turkish students who took part in TIMSS 2019. Data were collected using the…

Has the gap in average standardized test scores between students from high- and low-income families widened, narrowed, or remained stable over the last 3 decades? The question is important both because the achievement gap is measure of how (un)equally educational opportunities are distributed in the US, and because the disparity in educational…

This study finds that, breaking with decades of slow improvement, U.S. reading and math scores on the National Assessment of Educational Progress (NAEP) and other assessments have seen historic declines since most states implemented national Common Core English and math curriculum standards six years ago. This descriptive analysis is designed to…

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…

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…

We set out to address the question--what does it mean for educational knowledge to be 'powerful'? We compare the Anglo tradition of curriculum studies with the "Didaktik" tradition through the lens of an analysis of curriculum structure in postgraduate courses in South African universities rooted in either the Anglo or…

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,…

Students' socioeconomic status (SES), school climate, and students' attitudes stand out as important factors that determine academic achievement. The current study investigated the relationship among SES, attitude toward science, school climate, and academic achievement comparatively in terms of countries. Trends in International Mathematics and…