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Melissa 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
Ashley A. Edwards; Wilhelmina van Dijk; Christine M. White; Christopher Schatschneider – Grantee Submission, 2022
Given the recent push for universal screening, it is important to take into account how well a screener identifies children at risk for reading problems as well as how screener and sample information contribute to this classification. Picking the best cut-point for a particular sample and screening goal can be challenging given that test manuals…
Descriptors: Screening Tests, Measures (Individuals), Reading Difficulties, Cutting Scores
Ashley A. Edwards; Wilhelmina van Dijk; Christine M. White; Christopher Schatschneider – Annals of Dyslexia, 2022
Given the recent push for universal screening, it is important to take into account how well a screener identifies children at risk for reading problems as well as how screener and sample information contribute to this classification. Picking the best cut-point for a particular sample and screening goal can be challenging given that test manuals…
Descriptors: Screening Tests, Measures (Individuals), Reading Difficulties, Cutting Scores
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)
Bugden, S.; Peters, L.; Nosworthy, N.; Archibald, L.; Ansari, D. – Mind, Brain, and Education, 2021
Developmental dyscalculia (DD) is a mathematical learning disability that occurs in around 5%-7% of the population. At present, there are only a handful of screening tools to identify children that might be at risk of developing DD. The present study evaluated the classification accuracy of one such tool: The Numeracy Screener, a 2-min test of…
Descriptors: Learning Disabilities, Disability Identification, Classification, Accuracy
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
Chieh-Yu Chen; Luis Anunciação; Sondra M. Stegenga – Infants and Young Children, 2023
This study examined the agreement between the Ages & Stages Questionnaires, third edition (ASQ-3), and the Ages & Stages Questionnaires: Social-Emotional, second edition (ASQ:SE-2), and investigated the relationship of the overall indication of "parental concerns" about their child's behavior on the ASQ-3 and the results of the…
Descriptors: Questionnaires, Child Development, Screening Tests, Parent Attitudes
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
Bonifay, Wes; Depaoli, Sarah – Prevention Science, 2023
Statistical analysis of categorical data often relies on multiway contingency tables; yet, as the number of categories and/or variables increases, the number of table cells with few (or zero) observations also increases. Unfortunately, sparse contingency tables invalidate the use of standard goodness-of-fit statistics. Limited-information fit…
Descriptors: Bayesian Statistics, Programming Languages, Psychopathology, Classification
Comparing the Cost-Accuracy Ratios of Multiple Approaches to Reading Screening in Elementary Schools
Courtenay A. Barrett; Lindy J. Johnson; Adrea J. Truckenmiller; Amanda M. VanDerHeyden – Remedial and Special Education, 2024
U.S. elementary schools administer reading screeners to identify students in need of remedial instruction. However, the administration of additional assessments comes with a cost. It is unclear the extent to which multiple types of reading screeners warrant the increase in resources that could be used for instruction. This study compared…
Descriptors: Elementary School Students, Grade 3, Costs, Accuracy
Thayer, Andrew J.; Weeks, Mollie R.; Cook, Clayton R. – Psychology in the Schools, 2021
The dual-factor model (DFM) of mental health affords educators an expanded view of student social-emotional and behavioral functioning and may help identify students in need of school-based mental health services who would otherwise go unnoticed with traditional screening methods. With a focus on integrating subjective well-being into the…
Descriptors: Mental Health, Models, Well Being, Positive Behavior Supports
Fombonne, Eric; MacFarlane, Heather; Salem, Alexandra C. – Journal of Autism and Developmental Disorders, 2021
Recent worldwide epidemiological surveys of autism conducted in 37 countries are reviewed; the median prevalence of autism is 0.97% in 26 high-income countries. Methodological advances and remaining challenges in designing and executing surveys are discussed, including the effects on prevalence of variable case definitions and nosography, of…
Descriptors: Epidemiology, Surveys, Autism, Pervasive Developmental Disorders
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
Christine M. White; Christopher Schatschneider – Contemporary School Psychology, 2024
Universal screening to predict students' risk for reading problems is a foundational component of the Multi-Tiered Systems of Support framework and is required by law in many US states. School or district administrators are tasked with selecting screening assessments that are both technically adequate and feasible given the resources of their…
Descriptors: Screening Tests, Reading Tests, Reading Difficulties, Classification