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Sleeman, Mike; Everatt, John; Arrow, Alison; Denston, Amanda – New Zealand Journal of Educational Studies, 2022
Traditionally, the New Zealand Ministry of Education opposed the recognition of dyslexia. However, since 2007, the Ministry of Education's position has started to change, evidenced by the development of a working definition. In 2021 the Ministry of Education released Three Steps in Screening for Dyslexia (TSSD), an assessment protocol designed to…
Descriptors: Foreign Countries, Dyslexia, Students with Disabilities, Screening Tests
Gerald Tindal; Joseph F. T. Nese – Behavioral Research and Teaching, 2024
We present two types of validity evidence to support inferences and decisions about use of easyCBMs in relation to state testing programs. The first type involves the use of Benchmarks in reading to use in making predictions of performance on the Smarter Balanced (SB) test. These predictions can be made both well in advance (several months) or…
Descriptors: Classification, Accuracy, Validity, Criteria
VanDerHeyden, Amanda M.; Broussard, Carmen; Burns, Matthew K. – Assessment for Effective Intervention, 2021
This study examined the classification accuracy for subskill mastery measures administered in mathematics for students in kindergarten and Grades 1, 3, 5, and 7 at fall (n = 564) and winter (n = 602) screening. In addition, response to classwide math intervention was examined as another layer of screening for students in kindergarten and Grades 1,…
Descriptors: Classification, Test Reliability, Screening Tests, Mathematics Tests
Wilson, Joshua; Rodrigues, Jessica – Grantee Submission, 2020
The present study leveraged advances in automated essay scoring (AES) technology to explore a proof of concept for a writing screener using the "Project Essay Grade" (PEG) program. First, the study investigated the extent to which an AES-scored multi-prompt writing screener accurately classified students as at risk of failing a Common…
Descriptors: Writing Tests, Screening Tests, Classification, Accuracy
Umansky, Ilana; Porter, Lorna; Moreno, Elijah; Pierson, Ashley – Regional Educational Laboratory Northwest, 2021
This report examines the population of Alaska Native students who are classified as English learner (EL) students and how EL policies function for these students, focusing on EL identification, classification, service provision, and reclassification as fluent English proficient. Alaska is one of several states where Indigenous students make up a…
Descriptors: Alaska Natives, English Language Learners, Language Proficiency, Indigenous Populations
Hartman, Kelsey; Gresham, Frank M.; Byrd, Shelby – Behavioral Disorders, 2017
Universal screening for emotional and behavioral risk in schools facilitates early identification and intervention for students as part of multitiered systems of support. Early identification has the potential to mitigate adverse outcomes of emotional and behavioral disorders. The purpose of this study was to extend existing research on the…
Descriptors: Behavior Problems, Screening Tests, Test Validity, Test Reliability
Kiperman, Sarah; Black, Mary S.; McGill, Tia M.; Harrell-Williams, Leigh M.; Kamphaus, Randy W. – Journal of Psychoeducational Assessment, 2014
This study assesses the ability of a brief screening form, the Behavioral and Emotional Screening System-Student Form (BESS-SF), to predict scores on the much longer form from which it was derived: the Behavior Assessment System for Children-Second Edition Self-Report of Personality-Child Form (BASC-2-SRP-C). The present study replicates a former…
Descriptors: Screening Tests, Prediction, Elementary School Students, Grade 3
Sideridis, Georgios; Padeliadu, Susana – Journal of Learning Disabilities, 2013
The purpose of the present studies was to provide the means to create brief versions of instruments that can aid the diagnosis and classification of students with learning disabilities and comorbid disorders (e.g., attention-deficit/hyperactivity disorder). A sample of 1,108 students with and without a diagnosis of learning disabilities took part…
Descriptors: Test Construction, Learning Disabilities, Disability Identification, Classification
Anderson, Daniel; Alonzo, Julie; Tindal, Gerald – Behavioral Research and Teaching, 2011
In this technical report, we document the results of a cross-validation study designed to identify optimal cut-scores for the use of the easyCBM[R] mathematics test in the state of Washington. A large sample, randomly split into two groups of roughly equal size, was used for this study. Students' performance classification on the Washington state…
Descriptors: Testing Programs, Mathematics Tests, Prediction, Measurement Techniques
Park, Bitnara Jasmine; Anderson, Daniel; Irvin, P. Shawn; Alonzo, Julie; Tindal, Gerald – Behavioral Research and Teaching, 2011
Within a response to intervention (RTI) framework, students are typically identified as "academically at-risk" if they score below a specified cut-point on a benchmark screener. Students identified as at-risk are provided with an intervention intended to increase achievement. In the following technical report, we describe a process for…
Descriptors: Intervention, Diagnostic Tests, Response to Intervention, At Risk Students
Irvin, P. Shawn; Park, Bitnara Jasmine; Anderson, Daniel; Alonzo, Julie; Tindal, Gerald – Behavioral Research and Teaching, 2011
This technical report presents results from a cross-validation study designed to identify optimal cut scores when using easyCBM[R] reading tests in Washington state. The cross-validation study analyzes data from the 2009-2010 academic year for easyCBM[R] reading measures. A sample of approximately 900 students per grade, randomly split into two…
Descriptors: Intervention, Diagnostic Tests, Response to Intervention, At Risk Students
Park, Bitnara Jasmine; Irvin, P. Shawn; Anderson, Daniel; Alonzo, Julie; Tindal, Gerald – Behavioral Research and Teaching, 2011
This technical report presents results from a cross-validation study designed to identify optimal cut scores when using easyCBM[R] reading tests in Oregon. The cross-validation study analyzes data from the 2009-2010 academic year for easyCBM[R] reading measures. A sample of approximately 2,000 students per grade, randomly split into two groups of…
Descriptors: Testing Programs, Reading Tests, Prediction, Measurement Techniques