Date of Award:
Doctor of Philosophy (PhD)
Donna M. Gilbertson
The predictive utility of mathematics curriculum-based measurement (MCBM) to identify students who are at risk for failure on important educational measures is an emerging area of study in need of further investigation. The present study sought to identify which of four MCBM probes could be accurately used to determine students' risk status on selected subtests of three important educational measures commonly used to make educational placement decisions (WIAT-II, WJ-ACH-III, and KM 3) in grades 2 (n = 49), 4 (n = 48), and 6 (n = 47). The study also sought to determine which type of student performance measurement strategy (i.e., level, slope, or dual discrepancy) on each of the four types of MCBM probes proved to be the best method to determine student risk status. The results of the study indicated that the ability of the MCBM probes to identify students' risk status was generally poor. However, evidence indicated that MCBM probes could be used more reliably and accurately to determine students in the low risk category than those in the high risk category across all probe types and administration times. Finally, the level method generated the greatest support and the slope method generated the least support for identification of high and low risk student status on each probe or combination of probes.
Hancock, Kyle Max, "The Utility of Mathematics Curriculum-Based Measurement to Predict Student Risk Status on Standardized Academic Achievement Measures" (2009). All Graduate Theses and Dissertations. Paper 435.
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