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Direct linkMelissa H. Black; Karl Lundin Remnélius; Lovisa Alehagen; Thomas Bourgeron; Sven Bölte – Journal of Autism and Developmental Disorders, 2025
Purpose: A considerable number of screening and diagnostic tools for autism exist, but variability in these measures presents challenges to data harmonization and the comparability and generalizability of findings. At the same time, there is a movement away from autism symptomatology to stances that capture heterogeneity and appreciate diversity.…
Descriptors: Symptoms (Individual Disorders), Classification, Measures (Individuals), Autism Spectrum Disorders
Yangna Hu; Cindy Sing Bik Ngai; Sihui Chen – Journal of Speech, Language, and Hearing Research, 2025
Purpose: This study examines existing automatic screening methods for developmental language disorder (DLD), a neurodevelopmental language deficit without known biomedical etiologies, focusing on languages, data sets, extracted features, performance metrics, and classification methods. Additionally, it summarizes the strengths and weaknesses of…
Descriptors: Developmental Disabilities, Language Impairments, Automation, Screening Tests
Kathleen Lynne Lane; Katie Scarlett Lane Pelton; Nathan Allen Lane; Mark Matthew Buckman; Wendy Peia Oakes; Kandace Fleming; Rebecca E. Swinburne Romine; Emily D. Cantwell – Behavioral Disorders, 2025
We report findings of this replication study, examining the internalizing subscale (SRSS-I4) of the revised version of the Student Risk Screening Scale for Internalizing and Externalizing behavior (SRSS-IE 9) and the internalizing subscale of the Teacher Report Form (TRF). Using the sample from 13 elementary schools across three U.S. states with…
Descriptors: Data Analysis, Decision Making, Data Use, Measures (Individuals)
Mei-ki Chan; Michael J. Furlong; Emmy Ruff – Contemporary School Psychology, 2025
This research study holds practical significance for educators, school administrators, and mental health professionals. The study utilized structural equation modeling on two samples of elementary school students in grades three to five to create and validate condensed versions of the Social-Emotional Health Survey-Primary and the Me and My School…
Descriptors: Mental Health, Screening Tests, Elementary School Students, Classification
Yu Bao; Jin Liu; Christine DiStefano; Ruyi Ding – Psychology in the Schools, 2025
Behavioral and emotional disorders in childhood can have lasting impacts in areas such as education and future employment, often extending into adulthood. Identifying the potential disorders in children's early grades is beneficial to provide proactive assistance. In this study, we employed a well-validated scale - the Strengths and Difficulties…
Descriptors: Identification, Behavior Problems, Emotional Disturbances, Goodness of Fit
Accuracy of the Screening Tool for Autism in Toddlers and Young Children in the Primary Care Setting
Rebecca McNally Keehn; Noha F. Minshawi; Qing Tang; Brett Enneking; Tybytha Ryan; Ann Marie Martin; Angela Paxton; Patrick O. Monahan; Mary Ciccarelli; Brandon Keehn – Autism: The International Journal of Research and Practice, 2025
Feasible and accurate assessment tools developed for non-specialists are needed to scale community-based models of autism evaluation. The purpose of this study was to evaluate use of the Screening Tool for Autism in Toddlers and Young Children (STAT) when used by primary care practitioners (n = 10) across a statewide system of early diagnosis set…
Descriptors: Screening Tests, Accuracy, Autism Spectrum Disorders, Toddlers
Kathleen Lynne Lane; Nathan Allen Lane; Mark Matthew Buckman; Katie Scarlett Lane Pelton; Kandace Fleming; Rebecca E. Swinburne Romine – Behavioral Disorders, 2025
We report the results of a convergent validity study examining the externalizing subscale (SRSS-E5, five items) of the adapted Student Risk Screening Scale for Internalizing and Externalizing (SRSS-IE 9) with the externalizing subscale of the Teacher Report Form (TRF) with two samples of K-12 students. Results of logistic regression and receiver…
Descriptors: Data Analysis, Decision Making, Data Use, Test Validity
