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…

The prevalence of student mental health concerns has increased the need for universal mental health screening to promote access to services. Some screeners determine risk status by comparing student scores to norming samples based on age (i.e., combined-gender) or on age and gender (i.e., separate-gender). This study examined scores on the…

Students with limited English proficiency (LEP) make up one of the fastest growing segments of the student population; however, LEP status is often related to poor academic and behavioral outcomes. Teacher-reported behavioral rating scales can be informative measurements to screen and identify students at risk for behavioral and emotional…

A screening version of the social responsiveness scale (SRS) was administered to 1,847 university students to identify a subgroup reporting significantly greater autism traits relative to their peers (High SRS group). A group reporting minimal autism traits was also identified (Low SRS group) matched for age, gender, and attentional difficulties.…