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.…

This study analyzed the relationship between benchmark scores from two curriculum-based measurement probes in mathematics (M-CBM) and student performance on a state-mandated high-stakes test. Participants were 298 students enrolled in grades 7 and 8 in a rural southeastern school. Specifically, we calculated the criterion-related and predictive…

To provide timely and effective supports for students reading below grade level, schools require methods for quickly and accurately identifying those students in need. One method for identifying those students is through universal screening. Assessments such as oral reading fluency (ORF) and Maze reading comprehension are commonly used as…

The current dissertation gathered empirical evidence of convergent and predictive validity for the Self-Regulation Strategies Inventory-Parent Rating Scale (SRSI-PRS), which measures parents' perception of their child's use of self-regulated learning (SRL) strategies during mathematics activities. The SRSI-PRS, which is part of the larger SRSI…

Observational methods are increasingly being used in classrooms to evaluate the quality of teaching. Operational procedures for observing teachers are somewhat arbitrary in existing measures and vary across different instruments. To study the effect of different observation procedures on score reliability and validity, we conducted an experimental…

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…