Curriculum-based measurement of reading (CBM-R) is a common assessment educators use to monitor student growth in broad reading skills and evaluate the effectiveness of instructional programs. Computer-adaptive tests (CATs), such as Star Reading, have been cited as a viable option to formatively assess reading growth. We used Bayesian…

This report examines the Spanish language proficiency of fifth-grade students enrolled in the two-way Dual Language (DL) Program. Both native and non-native English speakers' Spanish language proficiency was assessed with the STAMP 4Se assessment in Spring 2020. Students were assessed on four domains of Spanish language proficiency (reading,…

Multitiered systems of support depend on screening technology to identify students at risk. The purpose of this study was to examine the use of a computer-adaptive test and latent class growth analysis (LCGA) to identify students at risk in reading with focus on the use of this methodology to characterize student performance in screening.…

This study examined the predictive validity of a computer-adaptive assessment for measuring kindergarten reading skills using the STAR Early Literacy (SEL) test. The findings showed that the results of SEL assessments administered during the fall, winter, and spring of kindergarten were moderate and statistically significant predictors of year-end…

Reports on the first phases of an American Council on the Teaching of Foreign Languages project to develop a computerized adaptive test of reading proficiency. The theoretical multidimensionality of the construct is clarified, and its implications for test development, item calibration, and validation procedures are discussed. (Author/SED)