Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 2 of 2
Full-Text Articles in Entire DC Network
Multivariate Generalizability Of Writing Curriculum-Based Measurement (Cbm): An Examination Of Form, Occasion, And Scoring Method, Katherine Hunter Chenier
Multivariate Generalizability Of Writing Curriculum-Based Measurement (Cbm): An Examination Of Form, Occasion, And Scoring Method, Katherine Hunter Chenier
LSU Doctoral Dissertations
Curriculum-based measurement (CBM) is an assessment technique that has become increasingly popular in schools, gaining importance with the recent national emphasis on school and teacher accountability for student achievement. CBM is used to monitor student performance to provide an indicator of which students are at-risk of not achieving grade level standards and thus are in need of intervention. CBM is easy to administer, utilizes standard procedures, and provides measures indicative of general achievement in various domains. The utility of CBM to measure student ability in writing has been well-established. However, there is a paucity of technical adequacy research for writing …
Vocabulary Matching : Potential For A Diagnostic Performance Indicator, Jodie Schraven
Vocabulary Matching : Potential For A Diagnostic Performance Indicator, Jodie Schraven
LSU Doctoral Dissertations
Predictive validity was explored between vocabulary matching (VM) probe scores and the integrated Louisiana Education Assessment Program (iLEAP) social studies standardized subtest score for 224 sixth-grade students across demographic categories from one rural southeastern Louisiana school district. Multiple Linear Regression (MLR) conducted in the Statistical Package for the Social Sciences (SPSS, 2007) produced Pearson correlations between .51 and .70 for five benchmark probes for the entire sample. Predictive cutscores created using Receiver Operating Characteristic (ROC) curve analyses and a diagnostic accuracy application software program illustrated that VM cutscores did not correctly predict which students would pass or fail with enough …