Not exact matches
Although the combination of measures improves
classification accuracy in a prediction model, in practice, it is difficult to discern the combination of cut scores and patterns of performance that would identify a
student as at risk for not passing the criterion measure.
The DR approach based on single screening measures may compromise
classification accuracy and, more importantly, may compromise the investigation of the
student's specific difficulties so that interventions aligned with
student needs can be provided.
Student - Level Reliability,
Classification Accuracy, and Convergent Validity Studies are used to describe the quality of
students» test scores.