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Direct linkGarret J. Hall; Mitchell A. Markham; Meghan McMackin; Elizabeth C. Moore; Craig A. Albers – Grantee Submission, 2022
The current study examined the validity of curriculum-based measures (CBM) in mathematics computation (M-COMP) and oral reading fluency (R-CBM) in predicting spring mathematics and reading performance level and performance risk (>1 SD below the national mean) among students classified as English Learners (ELs). Additionally, the current study…
Descriptors: Elementary School Students, English Language Learners, Language Proficiency, Curriculum Based Assessment
Garret J. Hall; Mitchell A. Markham; Meghan McMackin; Elizabeth C. Moore; Craig A. Albers – School Psychology Review, 2022
The current study examined the validity of curriculum-based measures (CBM) in mathematics computation (M-COMP) and oral reading fluency (R-CBM) in predicting spring mathematics and reading performance level and performance risk (>1 SD below the national mean) among students classified as English Learners (ELs). Additionally, the current study…
Descriptors: Elementary School Students, English Language Learners, Language Proficiency, Curriculum Based Assessment
Soland, James; Thum, Yeow Meng – Journal of Research on Educational Effectiveness, 2022
Sources of longitudinal achievement data are increasing thanks partially to the expansion of available interim assessments. These tests are often used to monitor the progress of students, classrooms, and schools within and across school years. Yet, few statistical models equipped to approximate the distinctly seasonal patterns in the data exist,…
Descriptors: Academic Achievement, Longitudinal Studies, Data Use, Computation
