It is common to find mixed-format data results from the use of both multiple-choice (MC) and constructed-response (CR) questions on assessments. Dealing with these mixed response types involves understanding what the assessment is measuring, and the use of suitable measurement models to estimate latent abilities. Past research in educational…

This article presents the process of constructing and validating a test of metalinguistic awareness (MLA) for young school children (age 8-10). The test was developed between 2021 and 2023 as part of the MetaLearn research project, financed by The Research Council of Norway. The research team defines MLA as using metalinguistic knowledge at a…

This article compares two methods for detecting local item dependence (LID): residual correlation examination and Rasch testlet modeling (RTM), in a commonly used 3:6 matching format and an extended matching test (EMT) format. The two formats are hypothesized to facilitate different levels of item dependency due to differences in the number of…

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…

The growing diversity among test takers in second or foreign language (L2) assessments makes the importance of fairness front and center. This systematic review aimed to examine how fairness in L2 assessments was evaluated through differential item functioning (DIF) analysis. A total of 83 articles from 27 journals were included in a systematic…

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…

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…

This study aimed to propose a new method for scoring C-Tests as measures of general language proficiency. In this approach, the unit of analysis is sentences rather than gaps or passages. That is, the gaps correctly reformulated in each sentence were aggregated as sentence score, and then each sentence was entered into the analysis as a polytomous…

A critical component of cognitive diagnostic models (CDMs) is a Q-matrix that stipulates associations between items of a test and their required attributes. The present study aims to develop and empirically validate a Q-matrix for the listening comprehension section of the International English Language Testing System (IELTS). To this end, a…

Language assessment is increasingly computermediated. This development presents opportunities with new task formats and equally a need for renewed scrutiny of established conventions. Recent recommendations to increase integrated skills assessment in lecture comprehension tests is premised on empirical research that demonstrates enhanced construct…

In this study, the cut-off scores obtained from the Angoff, Angoff Y/N, Nedelsky and Ebel standard methods were compared with the 50 T score and the current cut-off score in various aspects. Data were collected from 448 students who took Module B1+ English Exit Exam IV and 14 experts. It was seen that while the Nedelsky method gave the lowest…

The Pearson Test of English Academic (PTE-A), a widely used high-stakes language proficiency test for university admissions and migration purposes, underwent a notable change from a three-hour to a two-hour version in November 2021. The implementation of the new version has prompted inquiries into the washback effects on various stakeholders.…

This study addresses how Chinese learners of English as a second language (L2) perceive conversations in English materials as compared to speakers of English as a first language (L1). Data were collected through questionnaires completed by 48 participants (28 L2 English learners in China and 20 L1 English speakers in the UK), eliciting evaluations…

VocQGen is an automated tool designed to generate multiple-choice cloze (MCC) questions for vocabulary assessment in second language learning contexts. It leverages several natural language processing (NLP) tools and OpenAI's GPT-4 model to produce MCC items quickly from user-specified word lists. To evaluate its effectiveness, we used the first…