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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
Judson, Eugene – Journal of Educational Research, 2017
Rapid growth of Advanced Placement (AP) exams in the last 2 decades has been paralleled by national enthusiasm to promote availability and rigor of science, technology, engineering, and mathematics (STEM). Trends were examined in STEM AP to evaluate and compare growth and achievement. Analysis included individual STEM subjects and disaggregation…
Descriptors: Advanced Placement Programs, Mathematics Tests, Science Tests, Science Achievement
Herrera, Sarah; Zhou, Chengfu; Petscher, Yaacov – Regional Educational Laboratory Southeast, 2017
The 2001 authorization of the No Child Left Behind Act and its standards and accountability requirements generated interest among state education agencies in Florida, Mississippi, and North Carolina, which are served by the Regional Educational Laboratory Southeast, in monitoring changes in student reading and math proficiency at the school level.…
Descriptors: Reading Achievement, Mathematics Achievement, Trend Analysis, Achievement Gap
Oregon Department of Education, 2017
The Oregon Statewide Report Card is an annual publication required by law (ORS 329.115), which reports on the state of public schools and their progress towards the goals of the Oregon Educational Act for the 21st Century. The purpose of the Oregon Report Card is to monitor trends among school districts and Oregon's progress toward achieving the…
Descriptors: Public Schools, State Legislation, Educational Trends, Trend Analysis