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Emily R. Forcht; Ethan R. Van Norman – Psychology in the Schools, 2024
The present study compared the diagnostic accuracy of a single computer adaptive test (CAT), Star Reading or Star Math, and a combination of the two in a gated screening framework to predict end-of-year proficiency in reading and math. Participants included 13,009 students in Grades 3-8 who had at least one fall screening score and end-of-year…
Descriptors: Computer Assisted Testing, Adaptive Testing, Diagnostic Tests, Screening Tests
Peltier, Corey; Vannest, Kimberly J.; Tomaszewski, Brianne R.; Morin, Kristi; Sallese, Mary Rose; Pulos, Joshua M. – Exceptionality, 2022
The current study examined the criterion validity of a computer adaptive universal screener with an end-of-year state mathematics assessment using extant data provided by a local education agency. Participants included 1,195 third through eighth graders. Correlational analyses were used to report predictive and concurrent validity coefficients for…
Descriptors: Adaptive Testing, Computer Assisted Testing, Screening Tests, Mathematics Tests
VanMeveren, Kalie; Hulac, David; Wollersheim-Shervey, Sarah – Assessment for Effective Intervention, 2020
Reading screening assessments help educators identify students who are at risk of reading and determine the need for intervention and supports. However, some schools screen and assess students more often than needed, and the additional information does not improve the accuracy of decisions. This may be especially true for students at the upper…
Descriptors: Reading Tests, Screening Tests, Elementary School Students, High Stakes Tests
Ochs, Sarah; Keller-Margulis, Milena A.; Santi, Kristi L.; Jones, John H. – Assessment for Effective Intervention, 2020
Universal screening is the first mechanism by which students are identified as at risk of failure in the context of multitiered systems of supports. This study examined the validity and diagnostic accuracy of a reading computer-adaptive test as a screener to identify state achievement test performance for third through fifth graders (N = 1,696).…
Descriptors: Adaptive Testing, Computer Assisted Testing, Accuracy, Reading Tests
Keller-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
Pomés, Maria; Squires, Jane; Yovanoff, Paul – Journal of Early Childhood Research, 2016
Immigrant populations are growing and permanently changing the demographic profile of the United States. Diverse cultural and linguistic backgrounds are imposing demands and challenges upon agencies serving young children and families. Culturally sensitive assessments are not always available for these populations, and psychometric properties of…
Descriptors: Psychometrics, Screening Tests, Early Childhood Education, Identification