This paper introduces an application of cross-classified item response theory (IRT) modeling to an assessment utilizing the embedded standard setting (ESS) method (Lewis & Cook). The cross-classified IRT model is used to treat both item and person effects as random, where the item effects are regressed on the target performance levels (target…

Acquiescence is the tendency of participants to shift their responses to agreement. Lechner et al. (2019) introduced the following mechanisms of acquiescence: social deference and cognitive processing. We added their interaction into a theoretical framework. The sample consists of 557 participants. We found significant medium strong relationship…

Background/purpose: This study aimed to reveal the accuracy of estimation of multiple-choice test items parameters following the models of the item-response theory in measurement. Materials/methods: The researchers depended on the measurement accuracy indicators, which express the absolute difference between the estimated and actual values of the…

This study presents a comparative analysis of classical reliability measures, including Cronbach's alpha, test-retest, and parallel forms reliability, alongside modern psychometric methods such as the Rasch model and Mokken scaling, to evaluate the reliability of C-tests in language proficiency assessment. Utilizing data from 150 participants…

We aimed to identify empirically valid cut scores on the positive behavioral interventions and supports (PBIS) Tiered Fidelity Inventory (TFI) through an expert panel process known as bookmarking. The TFI is a measurement tool to evaluate the fidelity of implementation of PBIS. In the bookmark method, experts reviewed all TFI items and item scores…

To mitigate the potential damaging consequences of rapid guessing (RG), a form of noneffortful responding, researchers have proposed a number of scoring approaches. The present simulation study examines the robustness of the most popular of these approaches, the unidimensional effort-moderated (EM) scoring procedure, to multidimensional RG (i.e.,…

Cognitive load studies are mostly centered on information on perceived cognitive load. Single-item subjective rating scales are the dominant measurement practice to investigate overall cognitive load. Usually, either invested mental effort or perceived task difficulty is used as an overall cognitive load measure. However, the extent to which the…

Chulalongkorn University Language Institute (CULI) test was developed as a local standardised test of English for professional and international communication. To ensure that the CULI test fulfils its intended purposes, this study employed Kane's argument-based validation and Rasch measurement approaches to construct the validity argument for the…

Assessing cognitive demand is crucial for research on self-regulated learning; however, discrepancies in translating essential concepts across languages can hinder the comparison of research findings. Different languages often emphasize various components and interpret certain constructs differently. This paper aims to develop a translingual set…

Systems thinking (ST) is an essential competence for future life and biology learning. Appropriate assessment is critical for collecting sufficient information to develop ST in biology education. This research offers an ST framework based on a comprehensive understanding of biological systems, encompassing four skills across three complexity…

Although self-assessment in critical thinking is thought to help students recognise their strengths and weaknesses, the reliability and validity of the assessment tool is still questionable, so a more objective evaluation is needed. Objective of this investigation is to assess the self-assessment tools in evaluating students' critical thinking…

This paper describes the design and evaluation of the Organic chemistry Representational Competence Assessment (ORCA). Grounded in Kozma and Russell's representational competence framework, the ORCA measures the learner's ability to "interpret," "translate," and "use" six commonly used representations of molecular…

The current paper intends to exploit the Many Facet Rasch Model to investigate and compare the impact of situations (items) and raters on test takers' performance on the Written Discourse Completion Test (WDCT) and Discourse Self-Assessment Tests (DSAT). In this study, the participants were 110 English as a Foreign Language (EFL) students at…

Tools to measure autism knowledge are needed to assess levels of understanding within particular groups of people and to evaluate whether awareness-raising campaigns or interventions lead to improvements in understanding. Several such measures are in circulation, but, to our knowledge, there are no psychometrically-validated questionnaires that…

Background: Multiple-choice item (MCI) assessments are burdensome for instructors to develop. Artificial intelligence (AI, e.g., ChatGPT) can streamline the process without sacrificing quality. The quality of AI-generated MCIs and human experts is comparable. However, whether the quality of AI-generated MCIs is equally good across various domain-…