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…

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…

Multiple test tasks are available for assessing L2 collocation knowledge. However, few studies have investigated the characteristics of a variety of recognition and recall tasks of collocation simultaneously, and most research on L2 collocations has focused on verb-noun and adjective-noun collocations. This study investigates (1) the relative…

This study examined the role of domain-general and domain-specific linguistic knowledge in the assessment of academic English language proficiency using a latent variable modeling approach. The goal of the study was to examine if modeling of domain-specific variance results in improved model fit and well-defined latent factors. Analyses were…

Differential item functioning (DIF) analysis can be used to great advantage in second language (L2) assessments. This study examined the differences in performance on L2 test items between groups from different first language backgrounds and suggested ways of improving L2 assessments. The study examined DIF on L2 (Hebrew) test items for two…