Using data from students in Grades 3-8 in school years 2018-2019 (N = 1,871) and 2021-2022 (N = 1,740), we examined the strength of fall math screening using Measures of Academic Progress (MAP) for predicting end-of-year state math assessment performance levels and whether this prediction varied across English language proficiency (ELP). In…

The purpose of this study was to compare the classification accuracy of data produced by the previous year's end-of-year New York state assessment, a computer-adaptive diagnostic assessment ("i-Ready"), and the gating combination of both assessments to predict the rate of students passing the following year's end-of-year state assessment…

This study evaluated the forecasting accuracy of trend estimation methods applied to time-series data from computer adaptive tests (CATs). Data were collected roughly once a month over the course of a school year. We evaluated the forecasting accuracy of two regression-based growth estimation methods (ordinary least squares and Theil-Sen). The…