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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
Kolovelonis, Athanasios; Goudas, Marios; Dermitzaki, Irini – International Electronic Journal of Elementary Education, 2012
The aim of this study was to examine students' performance calibration in physical education. One hundred fifth and sixth grade students provided estimations regarding their performance in a dribbling test after practicing dribbling for 16 minutes under different self-regulatory conditions (i.e., receiving feedback, setting goals, self-recording).…
Descriptors: Elementary School Students, Physical Education, Team Sports, Grade 5
Brown, Robert M.; Byrd, Carol C. – 1984
To determine the most accurate means of estimating the expected grade or reading level of 61 sixth grade students, three expectancy formulas were compared to a custom regression equation from a user friendly microcomputer program. The expectancy formulas, based in part on student I.Q. and chronological age, and the regression equations were…
Descriptors: Age, Comparative Analysis, Computer Managed Instruction, Computer Programs