Diagnostic classification models (DCMs) have recently become very popular both for research purposes and for real testing endeavors for student assessment. A plethora of DCM models give researchers and practitioners a wide range of options for student diagnosis and classification. One intriguing option that some DCM models offer is the possibility…

Although Diagnostic Classification Models (DCMs) were introduced to education system decades ago, it seems that these models were not employed for the original aims upon which they had been designed. Using DCMs has been mostly common in analyzing large-scale non-diagnostic tests and these models have been rarely used in developing Cognitive…

In an upcoming coverage-comprehension study, we plan to assess learners' meaning-recall knowledge of words as they occur in the study's reading passage. As several meaning-recall test formats exist, the purpose of this small-scale study (N = 10) was to determine which of three formats was most similar to a criterion interview regarding mean score…

Given the significant global influence of the Common European Framework of Reference for Languages: Teaching, Learning, and Assessment (CEFR) on English language education, this study deals with aligning a university's academic reading tests to the CEFR. It aimed at validating the test construct of the academic reading tests in relation to the…

Time metaphorical expressions are common in all languages and in general as well as specialized contexts. This study explores the similarities and differences between English and Arabic time metaphorical expressions containing , and the difficulties that student-translators have in translating them; the translation strategies they use and the…

The current study compared the model fit indices, skill mastery probabilities, and classification accuracy of six Diagnostic Classification Models (DCMs): a general model (G-DINA) against five specific models (LLM, RRUM, ACDM, DINA, and DINO). To do so, the response data to the grammar and vocabulary sections of a General English Achievement Test,…

The documentation of test takers' achievements has been accomplished through large-scale assessments to find general information about students' language ability. To remove subjectivity, Cognitive Diagnostic Assessment (CDA) has recently played a crucial role in perceiving candidates' latent attribute patterns to find multi-diagnostic information…

The role of context in cloze tests has long been seen as both a benefit as well as a complication in their usefulness as a measure of second language comprehension (Brown, 2013). Passage cohesion, in particular, would seem to have a relevant and important effect on the degree to which cloze items function and the interpretability of performances…

Language learners are underserved if there are unlearned meanings of a word that they think they have already learned. For example, "circle" as a noun is well known, whereas its use as a verb is not. For artificial-intelligence-based support systems for learning vocabulary, assessing each learner's knowledge of such atypical but common…

The present study examined the performance of the bi-factor multidimensional item response theory (MIRT) model and higher-order (HO) cognitive diagnostic models (CDM) in providing diagnostic information and general ability estimation simultaneously in a listening test. The data used were 1,611 examinees' item-level responses to an in-house EFL…

The main objective of the article is to compare several methods of evaluating multiple-choice options through classical item analysis. The methods subjected to examination include the tabulation of choice distribution, the interpretation of trace lines, the point-biserial correlation, the categorical analysis of trace lines, and the investigation…

Purpose: The differential diagnosis of developmental language disorder (DLD) in bilingual children represents a unique challenge due to their distributed language exposure and knowledge. The current evidence indicates that dual-language testing yields the most accurate classification of DLD among bilinguals, but there are limited personnel and…

Language proficiency testing serves an important function of classifying examinees into different categories of ability. However, misclassification is to some extent inevitable and may have important consequences for stakeholders. Recent research suggests that classification efficacy may be enhanced substantially using computerized adaptive…

This study aims at investigating the challenges that Yemeni translation students encounter when translating neologisms from English into Arabic. It also aims at comparing students' translation with outcomes of machine translation (MT). The authors follow the descriptive and comparative methods in conducting this study. To achieve the objective of…

This article compares second language test-takers' performance on an academic listening test in an audio-only mode versus an audio-video mode. A new method of classifying video-based visuals was developed and piloted, which used L2 expert opinions to place the video on a continuum from being content-deficient (not helpful for answering…