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Ethan R. Van Norman; Emily R. Forcht – Journal of Education for Students Placed at Risk, 2024
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…
Descriptors: Data Collection, Predictive Measurement, Predictive Validity, Predictor Variables
Northwest Evaluation Association, 2016
This guide was created as a resource to help families better understand "Measures of Academic Progress"® (MAP®), and their child's results. The guide provides answers to a variety of questions such as: "What is MAP?"; "What does MAP measure?"; "How do schools and teachers use MAP scores?"; "Can MAP tell…
Descriptors: Scores, Academic Achievement, Achievement Tests, Reading Achievement
Alonzo, Julie; Anderson, Daniel; Park, Bitnara Jasmine; Tindal, Gerald – Behavioral Research and Teaching, 2012
In this technical report, we describe the development and piloting of a series of vocabulary assessments intended for use with students in grades two through eight. These measures, available as part of easyCBM[TM], an online progress monitoring and benchmark/screening assessment system, were developed in 2010 and administered to approximately 1200…
Descriptors: Curriculum Based Assessment, Vocabulary, Language Tests, Test Construction
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National Center for Education Statistics, 2013
This document provides an overview of the National Assessment of Educational Progress (NAEP). NAEP is the largest nationally representative and continuing assessment of what students in the United States know and can do in various subjects. NAEP serves a different role than state assessments. States have their own unique assessments which are…
Descriptors: Student Evaluation, National Surveys, Academic Achievement, Grade 4