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…

A common practical challenge is how to assign ability estimates to all incorrect and all correct response patterns when using item response theory (IRT) models and maximum likelihood estimation (MLE) since ability estimates for these types of responses equal -8 or +8. This article uses a simulation study and data from an operational K-12…

Specific Learning Disorder with impairment in reading (SLD-R) is the most widely diagnosed neurodevelopmental disorder. Individuals with SLD-R face many academic, social, and work challenges. To alleviate these difficulties, accommodations are provided, the most common being extended time for tests. The literature on extended time efficacy for…

MOCCA is an online assessment of inferential reading comprehension for students in 3rd through 6th grades. It can be used to identify good readers and, for struggling readers, identify those who overly rely on either a Paraphrasing process or an Elaborating process when their comprehension is incorrect. Here a propensity to over-rely on…

The impact of the COVID-19 pandemic continues to overwhelm the functioning and outcomes of educational systems throughout the nation. The public education system is under particular scrutiny given that students, families, and educators are under considerable stress to maintain academic progress. Since the beginning of the crisis, school-systems…

An information-correction method for testlet-based tests is introduced. This method takes advantage of both generalizability theory (GT) and item response theory (IRT). The measurement error for the examinee proficiency parameter is often underestimated when a unidimensional conditional-independence IRT model is specified for a testlet dataset. By…

This study examines the effects of text length and question type on Korean EFL readers' reading comprehension of the fill-in-the-blank items in Korean CSAT. A total of 100 Korean EFL college students participated in the study. After divided into three different proficiency groups, the participants took a reading comprehension test which consisted…

Thousands of U.S. school districts and many international schools use MAP® Growth™ to monitor the academic growth of their students and to inform instruction. The MAP Growth assessment is untimed, meaning that limits are not placed on how much time a student has to respond to the items. However, to help schools understand the amount of time MAP…

There is strong theoretical support for oral reading fluency (ORF) as an essential building block of reading proficiency. The current and standard ORF assessment procedure requires that students read aloud a grade-level passage (˜ 250 words) in a one-to-one administration, with the number of words read correctly in 60 seconds constituting their…

Students with disabilities often receive test accommodations in schools and on high-stakes tests. Students with learning disabilities (LD) represent the largest disability group in schools, and extended time the most common test accommodation requested by such students. This pairing persists despite controversy over the validity of extended time…

Existing reading comprehension assessments have been criticized by researchers, educators, and policy makers, especially regarding their coverage, utility, and authenticity. The purpose of the current study was to evaluate a new assessment of reading comprehension that was designed to broaden the construct of reading. In light of these issues, we…

This article introduces two new classification consistency indices that can be used when item response theory (IRT) models have been applied. The new indices are shown to be related to Rudner's classification accuracy index and Guo's classification accuracy index. The Rudner- and Guo-based classification accuracy and consistency indices are…

Content balancing is one of the most important components in the computerized adaptive testing (CAT) especially in the K to 12 large scale tests that complex constraint structure is required to cover a broad spectrum of content. The purpose of this study is to compare the weighted penalty model (WPM) and the weighted deviation method (WDM) under…

This handbook describes the responsibilities of district and school assessment coordinators in the administration of the Pennsylvania System of School Assessment (PSSA). This updated guidebook contains the following sections: (1) General Assessment Guidelines for All Assessments; (2) Writing Specific Guidelines; (3) Reading and Mathematics…

Computer administered tests are becoming increasingly prevalent as computer technology becomes more readily available on a large scale. For testing programs that utilize both computer and paper administrations, mode effects are problematic in that they can result in examinee scores that are artificially inflated or deflated. As such, researchers…