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Anderson, Daniel; Alonzo, Julie; Tindal, Gerald – Behavioral Research and Teaching, 2011
easyCBM[R] is an online benchmark and progress monitoring assessment system designed for use within a response to intervention (RTI) framework. Part of the purpose of easyCBM[R] is to help educators identify students who may be at risk for academic failure. Often, students deemed at risk are those who would be predicted to not pass the state test.…
Descriptors: Reading Tests, Curriculum Based Assessment, Student Evaluation, Formative Evaluation
Anderson, Daniel; Alonzo, Julie; Tindal, Gerald – Behavioral Research and Teaching, 2011
easyCBM[R] is an online benchmark and progress monitoring assessment system designed for use within a response to intervention (RTI) framework. Part of the purpose of easyCBM[R] is to help educators identify students who may be at risk for academic failure. Often, students deemed at risk are those who would be predicted to not pass the state test.…
Descriptors: Curriculum Based Assessment, Reading Tests, Predictive Validity, Formative Evaluation
Tindal, Gerald; Nese, Joseph F.; Alonzo, Julie – Behavioral Research and Teaching, 2009
In this technical report, data are presented on the predictive and concurrent relation between various student demographic variables (gender, race/ethnicity, special education status, Title 1 status, English language learning status, and economic disadvantage) and three reading easyCBMs (passage reading fluency, vocabulary, and multiple-choice…
Descriptors: Evidence, Reading Fluency, Academic Achievement, Research Reports
Cochise Coll., Douglas, AZ. – 1990
In 1989, Cochise College (CC) conducted a study to determine if a positive relationship existed between grade placement scores on the Nelson-Denny or Nelson reading comprehension examination and academic performance. The study population consisted of new or first-time CC students who were tested after May 1989. Placement scores for students who…
Descriptors: Academic Achievement, Community Colleges, Grades (Scholastic), Predictive Measurement