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Direct linkWang, Jiandong; Liu, Jin; DiStefano, Christine; Pan, Gaofeng; Gao, Ruiqin; Tang, Jijun – Journal of Psychoeducational Assessment, 2021
Deep neural network (DNN) has been widely used in various artificial intelligence applications and is, unsurprisingly, penetrating the field of school psychology. In the school environment, universal screening is used by teachers to identify children's emotional and behavioral risk (EBR) within a screener. EBR can be used to predict possible…
Descriptors: Children, Psychological Patterns, Child Behavior, At Risk Persons
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
Dowdy, Erin; Nylund-Gibson, Karen; Felix, Erika D.; Morovati, Diane; Carnazzo, Katherine W.; Dever, Bridget V. – Educational and Psychological Measurement, 2014
The practice of screening students to identify behavioral and emotional risk is gaining momentum, with limited guidance regarding the frequency with which screenings should occur. Screening frequency decisions are influenced by the stability of the constructs assessed and changes in risk status over time. This study investigated the 4-year…
Descriptors: Screening Tests, Risk, Behavior Disorders, Emotional Disturbances
