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Direct linkKeller-Margulis, Milena; McQuillin, Samuel D.; Castañeda, Juan Javier; Ochs, Sarah; Jones, John H. – Journal of Applied School Psychology, 2018
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.…
Descriptors: At Risk Students, Multivariate Analysis, Adaptive Testing, Computer Assisted Testing
Mesmer, Heidi Anne; Hiebert, Elfrieda H. – Journal of Literacy Research, 2015
The Common Core State Standards for English Language Arts (CCSS/ELA) focus on building student capacity to read complex texts. The Standards provide an explicit text complexity staircase that maps text levels to grade levels. Furthermore, the Standards articulate a rationale to accelerate text levels across grades to ensure students are able to…
Descriptors: Elementary School Students, Grade 3, Reading Skills, Language Proficiency
