As content literacy intervention is expanded in schools, data-based decision-making practices need to also advance, especially in the areas of science. Vocabulary-matching curriculum-based measures (VM-CBM) may allow educators to identify students needing additional support in science vocabulary to assist with using and comprehending disciplinary…

Science scores among US fourth-grade students have declined compared to their international counterparts in recent years. Recent results show that teachers are the most impactful influence on student success and accountability. Teacher preparedness and professional development are two key areas that serve as indicators of providing relevant and…

We investigated two research questions: which students are more likely to respond inconsistently to mixed-worded questionnaire scales, and which country samples have larger shares of inconsistent respondents? We defined an inconsistent response as strongly agreeing or disagreeing with both positively and negatively worded items of the same scale.…

Background: In recent years, data derived from international large-scale assessments have significantly influenced the discourse surrounding educational equity. However, the use of such data has often neglected the full spectrum of dimensions that equity encompasses, while being limited to exploring the relationship between achievement variations…

This paper extends existing work on teacher weighting in student-centered surveys by looking into aspects of practical implementation of deriving and using weights for teacher-centered analysis in the Trends in International Mathematics and Science Study (TIMSS) and the Progress in International Reading Literacy Study (PIRLS). The formal…

The Trends in International Mathematics and Science Study (TIMSS) is an international comparison study of mathematics and science performance, organised by the International Association for the Evaluation of Educational Achievement (IEA). The study's main purpose is to provide participating countries with internationally comparable data on the…

In this article, we extend Liao's test for across-group comparisons of the fixed effects from the generalized linear model to the fixed and random effects of the generalized linear mixed model (GLMM). Using as our basis the Wald statistic, we developed an asymptotic test statistic for across-group comparisons of these effects. The test can be…

International Large-Scale Assessments (ILSAs) have had significant impact on education policy across the globe. But has interest in ILSAs now started to wane? This paper presents new evidence on this issue, exploring how the amount of attention three major ILSAs receive compares across countries, between studies and over time. Using information on…

In this study, we aim to analyze the effects of discovery-based learning through film viewing on students' knowledge about a specific animal species and its habitat. The following hypothesis is tested: students' knowledge about animals and their environment is greater as a result of discovering information through watching videos. The study…

Teachers' professional development (PD) is considered to be a topic of interest in science education. This study examines the impact of professional development in science pedagogy (PD in PED) on students' achievement and how it influences teachers' instruction based on the Trends in International Mathematics and Science (TIMSS) 2019. The sample…

Using data from the Trends in International Mathematics and Science Study (TIMSS), this study examines the student and school characteristics that contribute to students' mathematics performance in early elementary school in Chile. Previous research has separately analyzed the association of student and school factors with mathematics performance.…

This paper introduces an approach that uses latent class analysis to identify cut scores (LCA-CS) and categorize respondents based on context scales derived from largescale assessments like PIRLS, TIMSS, and NAEP. Context scales use Likert scale items to measure latent constructs of interest and classify respondents into meaningful ordered…

The aim of this study was to examine which topic- and learning-related knowledge and motivational beliefs predict the use of specific deep-level learning strategies during an independent learning task. Participants included 335 Estonian fourth- and sixth-grade students who were asked to read about light processes and seasonal changes. The study…

Developing tools to identify students' misconceptions about basic biology concepts is necessary. Therefore, a two-tier diagnostic test was developed to determine such misconceptions in primary school (3rd-4th Grade) students. The test content includes two-tiered multiple-choice questions addressing common misconceptions found in the literature on…

Nowadays, the assessment of student performance has become increasingly technology-based, a trend that can also be observed in the evaluation of scientific reasoning, with more and more of the formerly paper-based assessment tools moving into the digital space. The study aimed to examine the reliability and validity of the paper-based and…