The COVID-19 pandemic had a profound impact on education, forcing many teachers and students who were not used to online education to adapt to an unanticipated reality by improvising new teaching and learning methods. Within the realm of virtual education, the evaluation methods underwent a transformation, with some assessments shifting towards…

This study investigates the impact of violating the local item independence assumption by loading certain items onto a second dimension on test equating errors in unidimensional and dichotomous tests. The research was designed as a simulation study, using data generated based on the PISA 2018 mathematics exam. Analyses were conducted under 36…

The waning interest of students in science became a global concern. The purpose of this research was to translate, adapt, and validate the My Attitude toward Science [MATS] questionnaire instrument, which was used to measure students' attitudes toward science in the Indonesian context. We also investigated the items that contributed to gender and…

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…

This study evaluated differential item functioning (DIF) in achievement motivation items before and after using anchoring vignettes as a statistical tool to account for group differences in response styles across gender and ethnicity. We applied the nonparametric scoring of the vignettes to motivation items from the 2015 Programme for…

Conducting a fair test is important for educational research. Unfair assessments can lead to gender disparities in academic achievement, ultimately resulting in disparities in opportunities, wages, and career choice. Differential Item Function [DIF] analysis is presented to provide evidence of whether the test is truly fair, where it does not harm…

Human judgement is widely used in workplace-based assessment despite criticism that it does not meet standards of objectivity. There is an ongoing push within the literature to better embrace subjective human judgement in assessment not as a 'problem' to be corrected psychometrically but as legitimate perceptions of performance. Taking a step back…

The use and interpretation of educational and psychological test scores are paramount to individual outcomes and opportunities. Methods for detecting differential item functioning (DIF) are imperative for item analysis when developing and revising assessments, particularly as it pertains to fairness across populations, languages, and cultures. We…

Background: Research about the psychometric properties of the Behavioural Appraisal Scales (BAS) in people with profound intellectual and multiple disabilities (PIMD) is limited. This study evaluates invariance in factor structure, item bias and convergent validity of the BAS. Methods: Data on the BAS from two studies (n = 25; n = 52) were…

How do teachers develop their understanding of the foundation principles of assessment, stay up to date with the latest classroom approaches and have the confidence to evaluate and question the effectiveness of new methods? This professional resource for teachers supports them to understand the what, why and how of assessment. It provides key…

This article extends multivariate generalizability theory (MGT) to tests with different random-effects designs for each level of a fixed facet. There are numerous situations in which the design of a test and the resulting data structure are not definable by a single design. One example is mixed-format tests that are composed of multiple-choice and…

This study used item response theory (IRT) methods to investigate group differences in responses to the 12-item Student Risk Screening Scale--Internalizing and Externalizing (SRSS-IE12) in a sample of 3,837 U.S. elementary school students. Using factor analysis and graded response models from IRT methods, we examined the factor structure and the…

One of the primary goals of international large-scale assessments in education is the comparison of country means in student achievement. This article introduces a framework for discussing differential item functioning (DIF) for such mean comparisons. We compare three different linking methods: concurrent scaling based on full invariance,…

Fairness in assessment has become increasingly topical and controversial in recent years. Assessment theoreticians are writing more about fairness and assessment practitioners have developed processes and good practice to minimise unfairness. There is also increased scrutiny by students, parents and the wider public--not only of the fairness of…

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…