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…

Assessing integrated reading-into-writing task performances is known to be challenging, and analytic rating scales have been found to better facilitate the scoring of these performances than other common types of rating scales. However, little is known about how specific operationalizations of the reading-into-writing construct in analytic rating…

A C-Test is a gap-filling test for measuring language competence in the first and second language. C-Tests are usually analyzed with polytomous Rasch models by considering each passage as a super-item or testlet. This strategy helps overcome the local dependence inherent in C-Test gaps. However, there is little research on the best polytomous…

Dictation is a traditional technique for both teaching and testing overall language ability and listening comprehension. In a dictation, a passage is read aloud by the teacher and examinees write down what they hear. Due to the peculiar form of dictations, psychometric analysis of dictations is challenging. In a dictation, there is no clear…

Synthetically generated speech (SGS) has become an integral part of our oral communication in a wide variety of contexts. It can be generated instantly at a low cost and allows precise control over multiple aspects of output, all of which can be highly appealing to second language (L2) assessment developers who have traditionally relied upon human…

In contrast with the assumptions made in standard measurement models used in large-scale assessments, students' performance may change during the test administration. This change can be modeled as a function of item position in case of a test booklet design with item-order manipulations. The present study used an explanatory item response theory…

Comparing language tests and test preparation materials holds important implications for the latter's validity and reliability. However, not enough studies compare such materials across a wide range of indices. Therefore, this study investigated the text complexity of IELTS academic reading tests (IRT) and IELTS reading practice tests (IRPrT).…

To ensure that student academic growth in a subject area is accurately captured, it is imperative that the underlying scale remains stable over time. As item parameter stability constitutes one of the factors that affects scale stability, NWEA® periodically conducts studies to check for the stability of the item parameter estimates for MAP®…

The purpose of this study is to equate and further validate three forms of the vocabulary size test (VST) created by Aizawa and Mochizuki (2010). These three forms, VST 1, 2, and 3, were administered to a cohort of 189 high school students ranging in age from 16 to 18 in April of their 1st, 2nd, and 3rd year of high school. Although these…

The Multiple-choice (MC) item format is commonly used in educational assessments due to its economy and effectiveness across a variety of content domains. However, numerous studies have examined the quality of MC items in high-stakes and higher-education assessments and found many flawed items, especially in terms of distractors. These faulty…

Rasch testlet and bifactor models are two measurement models that could deal with local item dependency (LID) in assessing the dimensionality of reading comprehension testlets. This study aimed to apply the measurement models to real item response data of the Iranian EFL reading comprehension tests and compare the validity of the bifactor models…

Artificial intelligence (AI) technologies have the potential to reduce the workload for the second language (L2) teachers and test developers. We propose two AI distractor-generating methods for creating Chinese vocabulary items: semantic similarity and visual similarity. Semantic similarity refers to antonyms and synonyms, while visual similarity…

Technology-enhanced items (TEIs) are innovative, computer-delivered test items that allow test takers to better interact with the test environment compared to traditional multiple-choice items (MCIs). The interactive nature of TEIs offer improved construct coverage compared with MCIs but little research exists regarding students' performance on…

With multiple options to choose from, there is always a chance of lucky guessing by examinees on multiple-choice (MC) items, thereby potentially introducing bias in item difficulty estimates. Correct responses by random guessing thus pose threats to the validity of claims made from test performance on an MC test. Under the Rasch framework, the…

Missing data is a common problem in datasets that are obtained by administration of educational and psychological tests. It is widely known that existence of missing observations in data can lead to serious problems such as biased parameter estimates and inflation of standard errors. Most of the missing data imputation methods are focused on…