In many countries, standardized math tests are important for achieving academic success. Here, we examine whether content of items, the story that explains a mathematical question, biases performance of low-SES students. In a large-scale cohort study of Trends in International Mathematics and Science Studies (TIMSS)--including data from 58…

The operationalization of school climate is inconsistent, adding to an unwieldy existing body of climate instruments, bringing into question measurement validity concerns. Further, there is minimal literature regarding if comparisons can be made between different school sectors (i.e., public, private, charter). We seek to understand if a commonly…

The zero-sum game of education is supported by the implementation standardized testing in a manner that disenfranchises Black students. While assessments are accountability tools for ensuring rigorous teaching and for measuring student learning, the impact of these tests on students' identity needs to be examined. The demands of a knowledge-based…

Argumentation is fundamental to science education, both as a prominent feature of scientific reasoning and as an effective mode of learning--a perspective reflected in contemporary frameworks and standards. The successful implementation of argumentation in school science, however, requires a paradigm shift in science assessment from the…

The aim of this study is to investigate the presence of DIF over the gender variable with the latent class modeling approach. The data were collected from 953 students who participated in the PISA 2018 8th-grade financial literacy assessment in the USA. Latent Class Analysis (LCA) approach was used to identify the latent classes, and the data fit…

Background: Inequality along racial and economic dimensions is well-documented and widespread in educational contexts. Achievement gaps are observed among children as early as primary school and are especially notable in standardized testing (Fryer & Levitt, 2004; Fryer & Levitt, 2013; Bond & Lang 2013). In response, some observers and…

Differential Item Function (DIF) analysis is commonly employed to examine potential bias produced by a test item. Since its introduction DIF analyses have focused on potential bias related to broad categories of oppression, including gender, racial stratification, economic class, and ableness. More recently, efforts to examine the effects of…

In this study, whether item position effects lead to DIF in the condition where different test booklets are used was investigated. To do this the methods of Lord's chi-square and Raju's unsigned area with the 3PL model under with and without item purification were used. When the performance of the methods was compared, it was revealed that…

Large scale international assessments depend on invariance of measurement across countries. An important consideration when observing cross-national differential item functioning (DIF) is whether the DIF actually reflects a source of bias, or might instead be a methodological artifact reflecting item response theory (IRT) model misspecification.…

Although it is critical for students with autism to be included in large-scale assessment and accountability systems, it is not clear how to best measure their underlying academic skills and knowledge. Additional empirically-supported guidance is necessary to assist school teams that need to make decisions about how to best include students with…

Background: Technically sound measures are necessary for accurately identifying youth at risk for depression, but many studies rely on classical test theory metrics or adult samples to evaluate measures. This study examined the use of the PHQ-8, a common and freely available pediatric depression screener, in an adolescent sample using item…

This study aims to compare the performance of different small sample equating methods in the presence and absence of differential item functioning (DIF) in common items. In this research, Tucker linear equating, Levine linear equating, unsmoothed and pre-smoothed (C=4) chained equipercentile equating, and simplified circle arc equating methods…

Statistical reasoning ability is one of the essential skills in developing competence, which is one of the Sustainable Development Goals (SDGs). This study aims to explore the statistical reasoning ability of junior high school students in descriptive statistics learning. The investigation directs students to determine their level of statistical…

Researchers developing questionnaire measures of personality, motivation, and self-regulation constructs related to students' achievement and persistence in STEM or other fields rarely have examined whether the items on the measures used are functioning differently across groups, which is necessary for accurate group comparison. The present study…

Advancement of testing of mathematical problem-solving skills calls for open-ended, realistic tasks particularly susceptible to bias, compromising the score validity and fairness of tests. Informed by universal design principles, this study framed 360 prototype items developed for the "Problem-solving Measures Grades 6-8 Computer Adaptive…