Systematic Progress Monitoring of Individualized Education Program Goals in Mathematics

The review of Endrew F. v. Douglas County School District case revealed that an individualized education program (IEP) requires inclusion of specific measurable goals to ensure educational benefit. The purpose of this article was to provide a systematic approach to progress monitoring IEP goals in mathematics, which monitors whether a student is benefiting from the mathematics instruction being provided. Using curriculum-based measures (CBM) is discussed as a feasible tool for monitoring the progress of students and creating specific measurable IEP goals. The article includes step-by-step strategies and guidelines for teachers to collect CBM data, create strategic IEP goals, and evaluate student progress.

Relative Efficacy of Teacher Rankings and Curriculum-Based Measures as Predictors of Performance on High-Stakes Tests

Data from 403 third graders were analyzed to determine relative and combined efficacy of group-administered Curriculum-Based Measures (CBMs) and Teacher Rankings of student reading and math performance taken early in the school year to predict end-of-year achievement scores. Teacher Rankings added to the power of CBMs to predict reading ( R2change = .18) and math ( R2change = .22). Combined CBMs and Teacher Rankings predicted at-risk status in reading (82%) and math (86%), based on logistic regression, and yielded strong area under the curve (AUC) statistics, defining risk status .88 (reading) and .82 (math). Surprisingly, Teacher Rankings yielded higher correlations with end-of-year scores than CBMs. Findings support using rankings as a simple, efficient strategy to add to the predictive power of CBMs readily available within a response to intervention (RTI) context and depicts a methodology school personnel can use to determine the relative/combined predictive power of CBMs and rankings. Of note, predictions based on Teacher Rankings vary across end-of-year performance levels.

Exploration of New Complexity Metrics for Curriculum-Based Measures of Writing

Researchers and practitioners have questioned whether scoring procedures used with curriculum-based measures of writing (CBM-W) capture growth in complexity of writing. We analyzed data from six independent samples to examine two potential scoring metrics for picture word CBM-W (PW), a sentence-level CBM task. Correct word sequences per response (CWSR) and words written per response (WWR) were compared with the current standard metric of correct word sequences (CWS). Linear regression analyses indicated that CWSR predicted scores on standardized norm-referenced criterion measures in more samples than did WWR or CWS. Future studies should explore the capacity of CWSR and WWR to show growth over time, stability, diagnostic accuracy, and utility for instructional decision making.