This study conducted a comprehensive comparison of Item Response Theory (IRT) linking methods applied to a bifactor model, examining their performance on both multiple choice (MC) and mixed format tests within the common item nonequivalent group design framework. Four distinct multidimensional IRT linking approaches were explored, consisting of…

Bayesian methods have been said to solve small sample problems in frequentist methods by reflecting prior knowledge in the prior distribution. However, there are dangers in strongly reflecting prior knowledge or situations where much prior knowledge cannot be used. In order to address the issue, in this article, we considered to apply two Bayesian…

Portraits of a Graduate (POGs) have become popular in education over the past decade as states and districts work to better define the knowledge and skills that students should master before high school graduation. The impetus for the development of POGs comes from several converging factors in the educational landscape. As states and districts…

Factor analysis is widely utilized to identify latent factors underlying the observed variables. This paper presents a comprehensive comparative study of two widely used methods for determining the optimal number of factors in factor analysis, the K1 rule, and parallel analysis, along with a more recently developed method, the bass-ackward method.…

This study proposes a Bayesian method for diagnostic classification models (DCMs) for a partially known Q-matrix setting between exploratory and confirmatory DCMs. This Q-matrix setting is practical and useful because test experts have pre-knowledge of the Q-matrix but cannot readily specify it completely. The proposed method employs priors for…

This study investigates and contrasts the final year (capstone) engineering projects at three public universities in Southern Africa: Cape Peninsula University of Technology (CPUT), Malawi University of Science and Technology (MUST), and Namibia University of Science and Technology (NUST). The research examines their practices, structures,…

Diversity audits are frequently used as an assessment method to measure the diversity of a library collection. Yet, there is not frequent research on the aftermath of diversity audits, especially in the context of comparing data from several audits to assess the difference in the makeup of a library collection. In this article, the author…

In massive open online course (MOOC) environments, computer-based analysis of course reviews enables instructors and course designers to develop intervention strategies and improve instruction to support learners' learning. This study aimed to automatically and effectively identify learners' concerned topics within their written reviews. First, we…

A strong predictor of children's language is performance on non-word repetition (NWR) tasks. However, the basis of this relationship remains unknown. Some suggest that NWR tasks measure phonological working memory, which then affects language growth. Others argue that children's knowledge of language/language experience affects NWR performance. A…

As an alternative to conventional instruction and evaluation methods, dynamic assessment aims to promote language learning by utilising an interactive approach. As a subset of dynamic assessment, the interventionist approach to dynamic assessment focuses on mediation from implicit to explicit. In spite of its central role in language learning and…

This study investigates the evolving landscape of green universities by analyzing and comparing rankings from 2018 to 2022. It expands beyond the single score offered by the UI GreenMetric, employing Multi-Criteria Decision-Making (MCDM) techniques to evaluate universities from diverse perspectives. Focusing on the top 50 universities from 2022,…

This study aims to (1) analyze learning-management innovations in religious studies in international contexts; and (2) propose approaches to developing religious-studies learning management for the Thai higher-education context. This study employed a qualitative documentary approach analyzing 85 peer-reviewed sources from 12 countries (2017-2025).…

In this study, we take a critical look at the degree to which the measurement of bullying and sense of belonging at school is invariant across groups of students defined by immigrant status. Our study focuses on the invariance of these constructs as measured on a recent PISA administration and includes a discussion of two statistical methods for…

Estimating astronomical scales requires multiple complex mental processes, such as spatial thinking and interpreting large numbers. As such, it is a nontrivial question how these estimates can be most efficiently assessed. There is reason to believe that results from previous studies probing astronomical scale estimates are possibly susceptible to…

The detection of differential item functioning (DIF) is important in psychological and behavioral sciences. Standard DIF detection methods perform an item-by-item test iteratively, often assuming that all items except the one under investigation are DIF-free. This article proposes a Bayesian adaptive Lasso method to detect DIF in graded response…