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Joseph R. Cohen; Jae Wan Choi; Jaclyn S. Fishbach; Jeff R. Temple – Prevention Science, 2025
Developing accurate and equitable screening protocols can lead to more targeted, efficient, and effective, teen dating violence (TDV) prevention programming. Current TDV screening protocols perform poorly and are rarely implemented, but recent research and policy emphasizes the importance of leveraging more trauma-focused screening measures for…
Descriptors: Dating (Social), Violence, Adolescents, Prevention
Oscar W. H. Wong; Sandra S. M. Chan; Steven W. H. Chau; Winnie C. W. Chu; Carol S. W. Ho; Stephy W. S. Ho; Se Fong Hung; Samara Hussain; Kelly Y. C. Lai; Angela M. W. Lam; Holly H. L. Lo; Karen K. Y. Ma; Suk Ling Ma; Flora Y. M. Mo; Pak Chung Sham; Caroline K. S. Shea; Suzanne H. W. So; Kelvin K. F. Tsoi; Patrick W. L. Leung – Autism: The International Journal of Research and Practice, 2025
Epidemiological studies on autism lack representation from Asia. We estimated the prevalence of autism among children and youths in Hong Kong using a two-stage approach. In addition, we evaluated the psychometric properties of the screening instrument and explored sex differences within an epidemiological context. A random school-based sample of…
Descriptors: Foreign Countries, Autism Spectrum Disorders, Epidemiology, Children
Ayelet Ben-Sasson; Joshua Guedalia; Keren Ilan; Meirav Shaham; Galit Shefer; Roe Cohen; Yuval Tamir; Lidia V. Gabis – Autism: The International Journal of Research and Practice, 2024
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…
Descriptors: Foreign Countries, Autism Spectrum Disorders, Infants, Predictor Variables
Amy S. Weitlauf; Tori Foster; James C. Slaughter; Mary Fleck; Jill Harris; Caroline Coffield; Kathleen Simcoe; Jenny Baggett; Alacia Stainbrook; Zachary E. Warren – Journal of Autism and Developmental Disorders, 2025
Tele-assessment of autism in early childhood has increased. However, it is unclear how autism screening tools (M-CHAT-R, DCI) function as part of tele-assessment and relate to a commonly used tele-assessment instrument, the TAP. 361 families from a clinically referred sample of children (mean age: 27.63 months, sd = 4.86 months) completed the…
Descriptors: Screening Tests, Clinical Diagnosis, Diagnostic Tests, Telecommunications
Mark-Carew, Miguella; Swanson, Megan; Eller, Brian; Cullen, Theresa; Valenzuela, Manuel O.; LaBelle, Monica; Persad, Neela; Barrios, Lisa C.; Szucs, Leigh E. – Journal of School Health, 2023
Background: COVID-19 screening testing (ST) can detect asymptomatic or pre-symptomatic cases, allowing for prompt identification of cases and close contacts. This study examined parents' and school staffs' knowledge and attitudes toward to a pilot school-based ST program in a school district in southern Arizona. Methods: In May 2021, online…
Descriptors: Predictor Variables, Participation, COVID-19, Pandemics
Ormiston, Heather E.; Renshaw, Tyler L. – School Mental Health, 2023
Universal screening for social, emotional, and behavioral risk is an important method for identifying students in need of additional or targeted support (Eklund and Dowdy in School Mental Health 6:40-49, 2014). Research is needed to explore how potential bias may be implicated in universal screening. We investigated student demographics as…
Descriptors: Student Characteristics, Predictor Variables, At Risk Students, Student Placement
Eilish A. Burke; Rachael Carroll; Maire O'Dwyer; J. Bernard Walsh; Philip McCallion; Mary McCarron – British Journal of Learning Disabilities, 2024
Background: People with intellectual disability often present atypically for various health conditions, making it challenging to identify concerns, particularly when communication challenges are also considered. Additionally, they may face barriers to healthcare access, resulting in many conditions going unnoticed. Health screening inequities are…
Descriptors: Aging (Individuals), Intellectual Disability, Access to Health Care, Human Body
Bilun Naz Böke; Mélanie Joly; Laurianne Bastien; Nancy L. Heath – Higher Education Research and Development, 2024
The transition to university is an exciting yet challenging period for many students. While previous research has documented the association between stress and adjustment, little is known about the long-term effect of students' early stress on their subsequent university adjustment. The present study sought to examine the effectiveness of a short,…
Descriptors: College Freshmen, Screening Tests, Stress Variables, Student Adjustment
Stacey B. Griner; Jason W. Beckstead; Cheryl A. Vamos; Joseph A. Puccio; Kay Perrin; Ellen M. Daley – Journal of American College Health, 2024
Objective: To identify theory-based innovation characteristics associated with the adoption of consumer-based self-sampling methods for sexually transmitted infection screening. Participants: Guided by the Diffusion of Innovation, survey data from people assigned female at birth (AFAB) (n = 92) were analyzed. Methods: Forward regression models and…
Descriptors: Sexually Transmitted Diseases, Screening Tests, Females, Individual Characteristics
Ann M. Folan – ProQuest LLC, 2021
Individuals with unidentified Reading Disorders are at greater risk of poor learning and social-emotional outcomes. Early identification of Reading Disorders ameliorates the risk of school failure. Researchers link early identification of specific Reading Disorders, such as Dyslexia, to communication deficits. Specifically, toddler expressive…
Descriptors: Expressive Language, Vocabulary, Predictor Variables, Toddlers
Emily R. Forcht; Ethan R. Van Norman – Psychology in the Schools, 2024
The present study compared the diagnostic accuracy of a single computer adaptive test (CAT), Star Reading or Star Math, and a combination of the two in a gated screening framework to predict end-of-year proficiency in reading and math. Participants included 13,009 students in Grades 3-8 who had at least one fall screening score and end-of-year…
Descriptors: Computer Assisted Testing, Adaptive Testing, Diagnostic Tests, Screening Tests
The Utility of the R-ABC in Assessing Risk for Autism Compared with the M-CHAT: An Exploratory Study
Sidni A. Justus; Jenny L. Singleton; Agata Rozga – Focus on Autism and Other Developmental Disabilities, 2024
Over the past 20+ years, researchers have worked toward identifying early behavioral predictors of autism spectrum disorder (ASD) and developing observation-based screeners to supplement existing parent-report methods. This study is a follow-up, 3 to 8 years later, with parents/caregivers of 57 children previously enrolled in a U.S.…
Descriptors: Autism Spectrum Disorders, Identification, Screening Tests, Toddlers
Sandra M. Chafouleas; Dakota W. Cintron; Jessica B. Koslouski; Amy M. Briesch; D. Betsy McCoach; Jennifer N. Dineen – Grantee Submission, 2024
Introduction: Leadership support has been identified as a key facilitator to successful implementation of school-based initiatives. School leadership contributions to student academic success and school reform have been documented, but less work has focused on the effects of leadership on school mental health initiatives such as social, emotional,…
Descriptors: School Districts, School Administration, Administrator Attitudes, Student Needs
Amanda G. Stuckey – ProQuest LLC, 2020
The purpose of this study was to investigate school counseling site supervisors' level of preparedness to provide adequate supervision to school counselors in training and determine if any variables could predict the level of preparedness. Professional School Counselors in the United States (N = 86) were asked to complete a survey about how…
Descriptors: School Counselors, Supervision, Readiness, Counselor Training
Emily Graybill; Scott Lewis; Ella Anghel; Sofia Awan; Brian Barger; Ashley Salmon – Psychology in the Schools, 2025
Early warning indicator and intervention systems (EWS) have been promoted to identify students at risk of school underperformance or dropout. Current EWS systems typically include administrative data on attendance, behavior incidents requiring disciplinary action, and course performance. This study tested whether specific emotional and behavioral…
Descriptors: Screening Tests, Student Behavior, Early Intervention, Middle School Students

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