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Carin H. Wiefferink; Conja Adriaanse; Margot van Denderen; Carla van Schie; Noëlle N. Uilenburg – Infants and Young Children, 2024
Despite the importance of identifying children with developmental language delay, no accurate screening instruments are available for 3-year-olds. The aim of the present study is to compare the accuracy of the General Language Screen (GLS), focusing on receptive and expressive language and intelligibility with the accuracy of the VTO Language…
Descriptors: Identification, Delayed Speech, Expressive Language, Preschool Children
Muhammed Tayyib Kadak; Nihal Serdengeçti; Meryem Seçen Yazici; Tuncay Sandikçi; Aybike Aydin; Zehra Koyuncu; Yavuz Meral; Abas Hasimoglu; Yasin Çaliskan; Gizem Bayraktar; Elif Can Öztürk; Mehmet Enes Gökler; Roula Choueiri; Mahmut Cem Tarakçioglu – Autism: The International Journal of Research and Practice, 2024
This study aims to investigate the validation of the Rapid Interactive Screening Test for Autism in Toddlers (RITA-T) in Turkish toddlers between 18 and 36 months of age. Children aged 18-36 months were referred to the department of child psychiatry for concerns of autism spectrum disorder, language disorder, developmental delay, and typically…
Descriptors: Foreign Countries, Turkish, Screening Tests, Autism Spectrum Disorders
Paige Haley – ProQuest LLC, 2023
As the research on feigning has grown, the number and quality of performance validity tests (PVTs) has increased as well. However, while several PVTs have been developed from assessments commonly used as part of neuropsychological batteries, there has been less exploration for PVTs scored from items in cognitive screeners. The Montreal Cognitive…
Descriptors: Cognitive Measurement, Performance, Test Validity, Psychological Testing
Iris Menu; Lanxin Ji; Tanya Bhatia; Mark Duffy; Cassandra L. Hendrix; Moriah E. Thomason – Child Development, 2025
Preterm birth poses a major public health challenge, with significant and heterogeneous developmental impacts. Latent profile analysis was applied to the National Institutes of Health Toolbox performance of 1891 healthy prematurely born children from the Adolescent Brain and Cognitive Development study (970 boys, 921 girls; 10.00 ± 0.61 years;…
Descriptors: Child Development, Premature Infants, Cognitive Development, Scores
Perlman-Arrow, Sara; Loo, Noel; Bobrovitz, Niklas; Yan, Tingting; Arora, Rahul K. – Research Synthesis Methods, 2023
The laborious and time-consuming nature of systematic review production hinders the dissemination of up-to-date evidence synthesis. Well-performing natural language processing (NLP) tools for systematic reviews have been developed, showing promise to improve efficiency. However, the feasibility and value of these technologies have not been…
Descriptors: Natural Language Processing, Screening Tests, COVID-19, Pandemics
Kathleen Lynne Lane; Wendy Peia Oakes; Karen Monahan; Amber Smith; Katie Scarlett Lane; Mark Matthew Buckman; Nathan Allen Lane; Rebecca Sherod – Education and Treatment of Children, 2023
In this article, we report findings of a psychometric study comparing two screening tools: the Student Risk Screening Scale-Internalizing and Externalizing (SRSS-IE) and the Devereaux Student Strengths Assessment-mini (DESSA-mini). Participants included 3,110 kindergarten through fifth-grade elementary students from five schools in one district in…
Descriptors: Screening Tests, Comparative Analysis, Scores, Behavior Problems
Judy Goldenberg – Teacher Development, 2024
Classroom teaching is a demanding and arduous profession, requiring teachers to have a suitable personality to succeed and persevere. However, academic institutions usually determine acceptance based solely on cognitive test scores, despite research indicating the added value of personality measures. This study presents the MESILA personality…
Descriptors: Teacher Education, Educational Research, Prediction, Alternative Assessment
Christopher D. Daniel – ProQuest LLC, 2024
Districts spend thousands of dollars on computerized teacher screeners without knowing if they are identifying the most effective teacher. Hiring quality staff is one of the most important job functions of a principal, and many times a teacher screener score may eliminate an effective teacher. The current study examined the value of teacher…
Descriptors: Teacher Evaluation, Scores, Screening Tests, Teacher Effectiveness
Michael T. Kalkbrenner; Mariany A. Gainza Perez; JoAnna S. Hubbard – Measurement and Evaluation in Counseling and Development, 2024
Objective: The aim of the present study was to test the factorial invariance and convergent validity evidence of scores on the Somatic Symptom Scale (SSS)-8 with a national sample of adults living in the United States. Method: A data collection contracting service was hired to recruit a national, non-clinical sample (N = 821) of adults in the…
Descriptors: Adults, Symptoms (Individual Disorders), Human Body, Measures (Individuals)
Olivia L. Chi; Matthew A. Lenard – Educational Evaluation and Policy Analysis, 2023
Improving teacher selection is an important strategy for strengthening the quality of the teacher workforce. As districts adopt commercial teacher screening tools, evidence is needed to understand these tools' predictive validity. We examine the relationship between Frontline Education's TeacherFit instrument and newly hired teachers' outcomes. We…
Descriptors: Screening Tests, Teacher Selection, Teacher Effectiveness, Teacher Characteristics
Julie Sriken; Bradley T. Erford; Martin F. Sherman; Kristen Watson; Heather L. Smith – Measurement and Evaluation in Counseling and Development, 2024
Psychometric characteristics of CESD-R scores were explored on a sample of 966 undergraduate students. Internal consistency ([alpha] = 0.92), external convergent and discriminant validity, and response bias were adequate to excellent. Strong measurement invariance was evident for gender and race comparisons, and the unidimensional model fit the…
Descriptors: Symptoms (Individual Disorders), Depression (Psychology), Measures (Individuals), Undergraduate Students
Xavier Ochoa; Xiaomeng Huang; Yuli Shao – Journal of Learning Analytics, 2025
Generative AI (GenAI) has the potential to revolutionize the analysis of educational data, significantly impacting learning analytics (LA). This study explores the capability of non-experts, including administrators, instructors, and students, to effectively use GenAI for descriptive LA tasks without requiring specialized knowledge in data…
Descriptors: Learning Analytics, Artificial Intelligence, Computer Software, Scores
Russell, Ian; Pearson, Beth; Masic, Una – Journal of Autism and Developmental Disorders, 2021
Literature has documented inflated rates of features associated with autism spectrum (AS) in clinic referred, gender diverse young people. This study examined scores on the Social Responsiveness Scale, Second Edition (SRS-2) over time in a group of clinic referred, gender diverse adolescents accessing gonadotropin-releasing hormone analogues…
Descriptors: Autism, Pervasive Developmental Disorders, Interpersonal Competence, Screening Tests
Matthew Burns; McKinzie Duesenberg-Marshall; Katya Sussman-Dawson; Monica Romero; David Wilson; Melinda Felten – Preventing School Failure, 2024
The current study compared the reading growth of (a) students who received targeted interventions, (b) students who received typical school interventions, and (c) students who were proficient readers at the study's onset. The participants were 1,513 students in first through fifth grades who attended one of three treatment schools or one of three…
Descriptors: Reading Instruction, Intervention, Reading Skills, Reading Improvement
Kathleen Lynne Lane; Wendy Peia Oakes; Mark Matthew Buckman; Nathan Allen Lane; Katie Scarlett Lane; Kandace Fleming; Rebecca E. Swinburne Romine; Rebecca L. Sherod; Chi-Ning Chang; Emily Dawn Cantwell – Behavioral Disorders, 2024
In this article, we examined predictive validity of the newly defined "Student Risk Screening Scale--Internalizing and Externalizing" (SRSS-IE 9, with nine items) when used by teachers for the first time, with a sample of 24,535 elementary students from 74 schools in four U.S. geographic regions. Results indicated fall externalizing and…
Descriptors: Screening Tests, Predictive Validity, At Risk Students, Scores