Early detection of autism spectrum condition is crucial for children to maximally benefit from early intervention. The study examined a machine learning model predicting the increased likelihood for autism from wellness records from 0 to 24 months. The study included 591,989 non-autistic and 12,846 autistic children. A gradient boosting model with…

Although numerous studies have focused on understanding the utility of the Behavior Assessment System for Children (BASC; Reynolds & Kamphaus, 2015) across multiple populations, many of the studies that focus on the use of this measure with the college population have used the previous edition (BASC-2). Given the rising rates of anxiety and…

Curriculum-based measurements (CBM) are used in schools to screen students for academic difficulties. Oral reading fluency curriculum-based measures (CBM-R) are the most popular, yet several studies have identified predictive bias in CBM-Rs in relation to key variables (e.g., race, sex). Despite a massive increase in the use of these measures as…

Early identification of children at risk of developing reading difficulties is crucial for effective interventions. While orthographies and educational contexts differ, predictors included in early at-risk screening tend to remain rather homogeneous across countries. In this study, we compared longitudinal prediction patterns of being among the 20…

Contribution: Screening rates for engineering students for several major and moderate mental health issues are reported, including unspecified psychological distress as captured by the Kessler 6 screening instrument; screening rates for depressive, anxiety, and eating disorders as measured by the patient health questionnaire (PHQ); and screening…

In this study, the predictive role of self-efficacy, gender and cyber victimization on cyber bullying in adolescents was examined. Examining whether the participants' mean self-efficacy, cyberbullying and cyber victimization scores differ significantly by gender are the sub-objectives of the research. The present study which was designed with a…

The present article aims to show how to model longitudinal change in cohort sequential data applying latent true change models using Mplus' multi-group approach. The underlying modeling ideas are described and explained in this article. As an example, change in internalizing problem behaviors between the age of 8 and 13 years is modeled and…

The use of mental health-related intake assessments by juvenile correctional facilities as predictive measures of confinement behavior has seen limited use in recent years. This study employs the Massachusetts Youth Screening Instrument-Version 2 (MAYSI-2) and How I Think Questionnaire (HIT) as measurement tools on the same data set to assess the…

Many adolescents struggle with reading comprehension, despite an emphasis on reading instruction over recent decades. Evidence suggests that informational text is particularly challenging for students. To implement assessments within a multi-tiered framework, schools must have psychometrically adequate tools. Using data of 473 students in Grades 6…

This article describes the development and psychometrics of the Juvenile Addiction Risk Rating. The Juvenile Addiction Risk Rating is a brief screening of addiction potential based on 10 risk factors predictive of youth alcohol and drug-related problems that assists examiners in more accurate treatment planning when self-report information is…

A data set from an urban Midwestern school district was mined to explore how the technology-based reading enrichment known as Mindplay Virtual Reading Coach (MVRC) affects children's performance on the English Language Arts (ELA) Standards state-wide assessment (N = 6098 students from Grades 3 to 9). ELA data from two times points were available,…

So far, empirical evidence regarding the effects of extended education on externalizing behavior is mixed. To explore possible moderators, multilevel-analyses were conducted in a longitudinal sample of 492 students from 51 all-day schools in Switzerland. No main effects of utilization intensity, interaction quality and externalizing behavior in…

Students become increasingly disconnected from their schools across the middle school years, but little is known about the factors contributing to changes in school connectedness. This study examined the time-invariant and time-varying roles of depressive symptoms and externalizing problems in trajectories of student-perceived school connectedness…

The present paper (1) examined variables, which could predict traditional bullying, cyberbullying, traditional victimization and cybervictimization and (2) looked at persons to examine whether academic, socio-emotional and demographic characteristics differed between traditional, cyber and mixed bullies, victims and bully-victims. A sample of…

Universal screening for behavioral and emotional difficulties is integral to the identification of students needing early intervention and prevention efforts. However, unanswered questions regarding the stability of screening scores impede the ability to determine optimal strategies for subsequent screening. This study examined the 2-year…