Sources of longitudinal achievement data are increasing thanks partially to the expansion of available interim assessments. These tests are often used to monitor the progress of students, classrooms, and schools within and across school years. Yet, few statistical models equipped to approximate the distinctly seasonal patterns in the data exist,…

Although extensive research exists on the use of curriculum-based measures for progress monitoring, little is known about using computer adaptive tests (CATs) for progress-monitoring purposes. The purpose of this study was to evaluate the impact of the frequency of data collection on individual and group growth estimates using a CAT. Data were…

Our purpose was to examine different approaches to modeling the time-varying nature of exceptionality classification. Using longitudinal data from one state's mathematics achievement test for 28,829 students in Grades 3 to 8, we describe the reclassification rate within special education and between general and special education, and compare four…

Student Growth Percentiles (SGPs) are increasingly being used in evaluations of teacher effectiveness. This study investigates two properties of SGPs: 1) SGP sensitivity to reference group characteristics such as sample size, free and reduced lunch (FRL) status, and English language learner (ELL) status; and 2) variation in score changes across…

The use of oral reading fluency (ORF) as a predominant measurement tool for identifying struggling readers has grown exponentially over the past 30 years. ORF growth using curriculum-based measures (CBM) has also become an important practical and empirical issue influencing the field. Although fluency scores have shown to be reliable predictors of…