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Selcuk Acar; Kelly Berthiaume; Katalin Grajzel; Denis Dumas; Charles Flemister; Peter Organisciak – Gifted Child Quarterly, 2023
In this study, we applied different text-mining methods to the originality scoring of the Unusual Uses Test (UUT) and Just Suppose Test (JST) from the Torrance Tests of Creative Thinking (TTCT)--Verbal. Responses from 102 and 123 participants who completed Form A and Form B, respectively, were scored using three different text-mining methods. The…
Descriptors: Creative Thinking, Creativity Tests, Scoring, Automation
Gregory, Camara; Graybill, Emily C.; Barger, Brian; Roach, Andrew T.; Lane, Kathleen – Journal of Emotional and Behavioral Disorders, 2021
Schools have become the most common setting for youth to receive additional supports--including access to mental health services serving as an entry point for identification and subsequent provision of these services. Many schools rely on office discipline referral (ODR) or suspension data as informal screeners for students who may need additional…
Descriptors: Predictive Validity, At Risk Students, Screening Tests, Discipline
Michael J. Furlong; Meagan O'Malley; Mei-ki Chan; Erin Dowdy; Jon W. Goodwin; Arlene Ortiz; Karen Nylund-Gibson; Tom Hanson – Contemporary School Psychology, 2025
This article and its Online Supplemental Material describe the development of the California School Wellness Index (CSWI), a tool to aid mental health research and practice in schools, specifically for wellness screening and monitoring. The CSWI is a 0-40 composite index derived from responses to the Brief Multidimensional Student Life…
Descriptors: Diagnostic Tests, Screening Tests, Mental Health, Wellness
Dai, Yael G.; Porto, Katelynn S.; Skapek, Mary; Barton, Marianne L.; Dumont-Mathieu, Thyde; Fein, Deborah A.; Robins, Diana L. – Journal of Autism and Developmental Disorders, 2021
The Modified Checklist for Autism in Toddlers, Revised, with Follow-Up (M-CHAT-R/F) is the most widely used screener for ASD. Despite the comparable rate of ASD in Black and White children, the M-CHAT-R/F was validated on a primarily White, Non-Hispanic sample. Few studies have assessed whether the screener performs adequately with racial…
Descriptors: Screening Tests, Check Lists, Autism, Pervasive Developmental Disorders
Thielgen, Markus M.; Schade, Stefan; Bosé, Carolin – Cognitive Research: Principles and Implications, 2021
In the present study, we investigated whether police officers' performance in searching for unfamiliar faces in a video-based real-world task is predicted by laboratory-based face processing tests that are typically used to assess individual differences in face processing abilities. Specifically, perceptual performance in the field was…
Descriptors: Human Body, Recognition (Psychology), Identification, Police
Herman, Keith C.; Reinke, Wendy M.; Huang, Francis L.; Thompson, Aaron M.; Doyle-Barker, Levi – School Psychology, 2021
Early adolescence represents a critical developmental period for the identification, prevention, and early intervention of mental health concerns. The Early Identification System--Student Report (EIS-SR) was developed as a user-friendly, accessible, and cost-efficient method for identifying youth at risk for mental health concerns. The present…
Descriptors: Psychometrics, Identification, Screening Tests, Middle School Students
Thompson, Aaron M.; Huang, Francis; Smith, Tyler; Reinke, Wendy M.; Herman, Keith C. – School Mental Health, 2021
The purpose of this paper is to confirm the factor structure, examine the invariance, and investigate the predictive validity using disciplinary data for 5262 high school students who completed the Early Identification System--Student Response (EIS-SR). The development and theory of the EIS-SR is discussed along with prior work. Building off of…
Descriptors: Factor Structure, Factor Analysis, Predictive Validity, Identification
Koller, Katherine A.; Hojnoski, Robin L.; Van Norman, Ethan R. – Assessment for Effective Intervention, 2022
A strong foundation in early literacy supports children's academic pursuits and impacts personal, social, and economic outcomes. Therefore, examining the adequacy of early literacy assessments as predictors of future performance on important outcomes is critical for identifying students at risk of reading problems. This study explored the…
Descriptors: Classification, Accuracy, Emergent Literacy, Predictive Validity
Natasha L. Godkin – ProQuest LLC, 2022
Underachievement in postsecondary education has been a growing concern for educators and researchers. Higher education institutions have implemented early alert systems to identify students performing below standards. This early warning system has major limitations that confine it to an identification only approach. The current study aimed to…
Descriptors: Individual Characteristics, Student Characteristics, Academic Achievement, Underachievement
de León, Sara C.; Jiménez, Juan E.; García, Eduardo; Gutiérrez, Nuria; Gil, Verónica – Learning Disability Quarterly, 2021
The main purpose of this study was to validate the curriculum-based measure "Indicadores de Progreso de Aprendizaje en Matemáticas" (IPAM [Indicators of Basic Early Math Skills]) in a local, Spanish-speaking context. This tool has been designed to identify first-grade students at risk for mathematics learning disabilities. The IPAM…
Descriptors: Mathematics Skills, Curriculum Based Assessment, Grade 1, Elementary School Students
Cattell, Lindsay; Bruch, Julie – Regional Educational Laboratory Mid-Atlantic, 2021
This report provides information for administrators in local education agencies who are considering early warning systems to identify at-risk students. Districts use early warning systems to target resources to the most at-risk students and intervene before students drop out. Schools want to ensure the early warning system accurately identifies…
Descriptors: At Risk Students, Identification, Artificial Intelligence, Dropout Prevention