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…

Using a 3-wave longitudinal, multidimensional approach, this study investigated the influence of social network position and social status on the psychosocial outcomes of 440 youth (45.1% girls; M[subscript age] = 16.1 years; 90.9% Caucasian) over 26 months, focusing on the controversial status classification (i.e., youth who are highly liked and…

With the publication of "DSM-5," clinical assessment of Autism Spectrum Disorder (ASD) has begun to follow a new dimensional framework which includes new severity specifiers. Little research has explored these severity ratings in comparison to other previously established severity indicators (e.g. "ADOS-2" calibrated severity…

To describe and facilitate the identification of child school behavior patterns, we developed a typology of child school behavior (ages 6-11 years) using the norming data (N = 2,338) for the second edition of the Behavior Assessment System for Children Teacher Rating-Child form). Latent profile analysis was conducted with the entire data set,…

Interventions developed to improve adaptive skills can improve academic achievement. The authors expanded this line of research by examining the relationship between performance on a state proficiency exam and adaptive skills classifications on the Behavioral Assessment System for Children, Second Edition parent and teacher reports. Participants…