Predicting student performance on the Texas Assessment of Academic Skills Exit Level Exam: Predictor modeling through logistic regression.
Description:
The purpose of this study was to investigate predicting student success on one example of a "high stakes" test, the Texas Assessment of Academic Skills Exit Level Exam. Prediction algorithms for the mathematics, reading, and writing portions of the test were formulated using SPSS® statistical software. Student data available on all 440 students were input to logistic regression to build the algorithms. Approximately 80% of the students' results were predicted correctly by each algorithm. The da…
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Date:
August 2004
Creator:
Rambo, James R.
Partner:
UNT Libraries