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Direct linkLiang, Jian-Hua; Heckman, Paul E.; Abedi, Jamal – Journal of Advanced Academics, 2018
This study examines the power of cognitive and noncognitive variables to predict students' performance in algebra. We investigated students' prior year's assessment scores and demographic characteristics to predict eighth-grade algebra scores. Using California statewide assessment data, we explored predictive factors in three regression models.…
Descriptors: Algebra, Grade 8, Predictor Variables, Prior Learning
Download full textWang, Jia; Niemi, David; Wang, Haiwen – National Center for Research on Evaluation, Standards, and Student Testing (CRESST), 2007
The main goal of this report is to present evidence on the predictive validity of an English language arts (ELA) performance assessment (PA) administered in Grades 2-9 in a large urban school district. To account for the hierarchical structure of the data (students are nested within schools), we employed hierarchical linear modeling (HLM) to…
Descriptors: Urban Schools, Language Arts, Performance Based Assessment, Standardized Tests
