NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Parents1
Laws, Policies, & Programs
Assessments and Surveys
National Assessment of…1
What Works Clearinghouse Rating
Showing all 11 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Blumenthal, Stefan; Blumenthal, Yvonne – International Journal of Educational Methodology, 2020
Progress monitoring of academic achievement is an essential element to prevent learning disorders. A prominent approach is curriculum-based measurement (CBM). Various studies have documented positive effects of CBM on students' achievement. Nevertheless, the use of CBM is associated with additional work for teachers. The use of tablets may be of…
Descriptors: Instructional Effectiveness, Curriculum Based Assessment, Computer Assisted Testing, Handheld Devices
Peer reviewed Peer reviewed
Direct linkDirect link
Van Norman, Ethan R.; Ysseldyke, James E. – School Psychology Review, 2020
Within multitiered systems of support, assessment practices that limit the amount of time students miss instruction should be prioritized. At the same time, decisions about student response to intervention need to be based upon technically adequate data. We evaluated the impact of data collection frequency and trend estimation method on the…
Descriptors: Data Collection, Adaptive Testing, Computer Assisted Testing, Computation
Peer reviewed Peer reviewed
Direct linkDirect link
Van Norman, Ethan R.; Nelson, Peter M.; Parker, David C. – School Psychology Quarterly, 2017
Computer adaptive tests (CATs) hold promise to monitor student progress within multitiered systems of support. However, the relationship between how long and how often data are collected and the technical adequacy of growth estimates from CATs has not been explored. Given CAT administration times, it is important to identify optimal data…
Descriptors: Computer Assisted Testing, Progress Monitoring, Grade 4, Grade 5
Peer reviewed Peer reviewed
Direct linkDirect link
Nelson, Peter M.; Van Norman, Ethan R.; Klingbeil, Dave A.; Parker, David C. – Psychology in the Schools, 2017
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…
Descriptors: Progress Monitoring, Computer Assisted Testing, Data Collection, Scheduling
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
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Foorman, Barbara; Espinosa, Anabel; Wood, Carla; Wu, Yi-Chieh – Regional Educational Laboratory Southeast, 2016
A top education priority in the United States is to address the needs of one of the fastest growing yet lowest performing student populations--English learner students (Capps et al., 2005). English learner students come from homes where a non-English language is spoken and need additional academic support to access the mainstream curriculum. These…
Descriptors: Computer Assisted Testing, Adaptive Testing, Literacy, English Language Learners
Peer reviewed Peer reviewed
Direct linkDirect link
Shapiro, Edward S.; Dennis, Minyi Shih; Fu, Qiong – School Psychology Quarterly, 2015
The purpose of the study was to compare the use of a Computer Adaptive Test and Curriculum-Based Measurement in the assessment of mathematics. This study also investigated the degree to which slope or rate of change predicted student outcomes on the annual state assessment of mathematics above and beyond scores of single point screening…
Descriptors: Computer Assisted Testing, Adaptive Testing, Curriculum Based Assessment, Mathematics Tests
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
Peer reviewed Peer reviewed
PDF on ERIC Download full text
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
Menard, Lauren A. – Online Submission, 2011
Obstacles to the classroom implementation of the fourth grade Math component of Louisiana's web-based testing tutorial were addressed in this informal pilot. Technology integration improved standardized test preparation for students with special needs. Supplemental test preparation sessions give the benefits of (a) increased familiarity with…
Descriptors: Educational Technology, Student Participation, Computer Assisted Testing, Standardized Tests