Digital administration of assessments allows for the collection of process data indices, such as response time, which can serve as indicators of rapid-guessing and examinee test-taking effort. Setting a time threshold is essential to distinguish effortful from effortless behavior using item response times. Threshold identification methods may…

Multistage adaptive testing (MST) has been recently adopted for international large-scale assessments such as Programme for International Student Assessment (PISA). MST offers improved measurement efficiency over traditional nonadaptive tests and improved practical convenience over single-item-adaptive computerized adaptive testing (CAT). As a…

This study incorporates a random forest (RF) approach to probe complex interactions and nonlinearity among predictors into an item response model with the goal of using a hybrid approach to outperform either an RF or explanatory item response model (EIRM) only in explaining item responses. In the specified model, called EIRM-RF, predicted values…

Technologies that enable individualization for students have significant potential in special education. Computerized Adaptive Testing (CAT) refers to digital assessments that automatically adjust their difficulty level based on students' abilities, allowing for personalized, efficient, and accurate measurement. This article examines whether CAT…

In this paper, we investigated the impact of an online classroom-based reading assessment on implementing practices in reading instruction among 30 EFL learners in an intermediate reading course at a public university in East Java, Indonesia. Our study aimed to develop an online classroom-based reading assessment and evaluate its efficacy in…

As testing programs transition from paper to online testing, they must study mode comparability to support the exchangeability of scores from different testing modes. To that end, a series of three mode comparability studies was conducted during the 2019-2020 academic year with examinees randomly assigned to take the ACT college admissions exam on…

Cognitive diagnostic computerized adaptive testing (CD-CAT) is a cutting-edge technology in educational measurement that targets at providing feedback on examinees' strengths and weaknesses while increasing test accuracy and efficiency. To date, most CD-CAT studies have made methodological progress under simulated conditions, but little has…

Over the past several years, content experts, psychometricians, and researchers have been hard at work developing, refining, and studying the digital SAT. The work is grounded in foundational best practices and advances in measurement and assessment design, with fairness for students informing all of the work done. This paper shares learnings from…

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 Progress in International Reading Literacy Study (PIRLS) has been monitoring international trends in reading achievement among fourth-grade students for 25 years. As a critical point in a student's education, the fourth year of schooling establishes the foundations of literacy, with reading becoming increasingly central to learning across all…

This research study investigates the impact of the rapid transition from paper-based to online administration of the State of Texas Assessments of Academic Readiness (STAAR) exams on student performance in a South Texas school district. The transition, mandated by House Bill 3261, presented Texas public schools with a tight timeline for adapting…

Assessing the difficulty of reading comprehension questions is crucial to educational methodologies and language understanding technologies. Traditional methods of assessing question difficulty rely frequently on human judgments or shallow metrics, often failing to accurately capture the intricate cognitive demands of answering a question. This…

Over the last five years, tremendous strides have been made in advancing the AIG methodology required to produce items in diverse content areas. However, the one content area where enormous problems remain unsolved is language arts, generally, and reading comprehension, more specifically. While reading comprehension test items can be created using…

The data from universal screeners must be valid and reliable in order to use it to make appropriate decisions about how best to allocate resources to support students who are at risk of not passing the state achievement test. The instruments used as part of universal screening must also have diagnostic accuracy. This study examined the diagnostic…

Originally designed for students in Grades 3 through 5, MOCCA (formerly the Multiple-choice Online Causal Comprehension Assessment), identifies students who struggle with comprehension, and helps uncover why they struggle. There are many reasons why students might not comprehend what they read. They may struggle with decoding, or reading words…