Predicting Student Success on the Texas Chemistry STAAR Test [electronic resource] : A Logistic Regression Analysis / William L. Johnson, Annabel M. Johnson and Jared Johnson.

Background: The context is the new Texas STAAR end-of-course testing program. Purpose: The authors developed a logistic regression model to predict who would pass-or-fail the new Texas chemistry STAAR end-of-course exam. Setting: Robert E. Lee High School (5A) with an enrollment of 2700 students, Ty...

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Bibliographic Details

Online Access:	Full Text (via ERIC)
Main Authors:	Johnson, William L., Johnson, Annabel M. (Author), Johnson, Jared (Author)
Format:	Electronic eBook
Language:	English
Published:	[S.l.] : Distributed by ERIC Clearinghouse, 2012.
Subjects:	High School Students. Grade 10. Grade 11. Chemistry. Science Tests. Achievement Tests. Science Achievement. Scores. Regression (Statistics) Prediction. Models. Accuracy. Test Preparation. Testing.