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Merve Bali; Elif Gür Kabul; Bilge Basakci Çalik; Gülçin Otar Yener; Zahide Ekici Tekin; Selçuk Yüksel – International Journal of Assessment Tools in Education, 2023
The aim of the study was to describe the validity and reliability of the Turkish version of Juvenile Arthritis Functional Assessment Report (JAFAR) in children/adolescents with Juvenile Idiopathic Arthritis (JIA). Sixty-nine children/adolescents with JIA were included in the study. JAFAR(TR)-Child and Parent forms were applied to the patients with…
Descriptors: Foreign Countries, Chronic Illness, Diseases, Children
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Steed, Elizabeth A.; Stein, Rachel; Burke, Heidi; Charlifue-Smith, Renee – Topics in Early Childhood Special Education, 2023
We utilized a mixed methods design to analyze responses to a U.S.-distributed survey regarding early childhood professionals' (N = 1,047) use of culturally and linguistically responsive practices during the initial evaluation for early intervention or early childhood special education. Findings from the fully mixed concurrent equal status mixed…
Descriptors: Early Childhood Teachers, Culturally Relevant Education, Language Usage, Early Intervention
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Reimers, Jennifer; Turner, Ronna C.; Tendeiro, Jorge N.; Lo, Wen-Juo; Keiffer, Elizabeth – Measurement: Interdisciplinary Research and Perspectives, 2023
Person-fit analyses are commonly used to detect aberrant responding in self-report data. Nonparametric person fit statistics do not require fitting a parametric test theory model and have performed well compared to other person-fit statistics. However, detection of aberrant responding has primarily focused on dominance response data, thus the…
Descriptors: Goodness of Fit, Nonparametric Statistics, Error of Measurement, Comparative Analysis
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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
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Laura L. Corona; Liliana Wagner; Madison Hooper; Amy Weitlauf; Tori E. Foster; Jeffrey Hine; Alexandra Miceli; Amy Nicholson; Caitlin Stone; Alison Vehorn; Zachary Warren – Journal of Autism and Developmental Disorders, 2024
Purpose: Telemedicine approaches to autism (ASD) assessment have become increasingly common, yet few validated tools exist for this purpose. This study presents results from a clinical trial investigating two approaches to tele-assessment for ASD in toddlers. Methods: 144 children (29% female) between 17 and 36 months of age (mean = 2.5 years, SD…
Descriptors: Autism Spectrum Disorders, Toddlers, Videoconferencing, Access to Health Care
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Yuanfang Liu; Mark H. C. Lai; Ben Kelcey – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Measurement invariance holds when a latent construct is measured in the same way across different levels of background variables (continuous or categorical) while controlling for the true value of that construct. Using Monte Carlo simulation, this paper compares the multiple indicators, multiple causes (MIMIC) model and MIMIC-interaction to a…
Descriptors: Classification, Accuracy, Error of Measurement, Correlation
Chelsea D. St. Julien – ProQuest LLC, 2024
In this study, the researcher used the quantitative descriptive methodology to explore and more clearly describe teachers' knowledge of dyslexia to improve dyslexia referral and evaluation practices for students on at-risk campuses. The purpose of this quantitative study was to determine what English-language arts teachers who teach kindergarten,…
Descriptors: Dyslexia, Knowledge Level, Referral, Evaluation Methods
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Saman Ebadi; Hassan Nejadghanbar; Ahmed Rawdhan Salman; Hassan Khosravi – Journal of Academic Ethics, 2025
This study investigates the perspectives of 12 journal reviewers from diverse academic disciplines on using large language models (LLMs) in the peer review process. We identified key themes regarding integrating LLMs through qualitative data analysis of verbatim responses to an open-ended questionnaire. Reviewers noted that LLMs can automate tasks…
Descriptors: Artificial Intelligence, Peer Evaluation, Periodicals, Journal Articles
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Lebohang Victoria Mulaudzi; Joleen Hamilton – Journal of Academic Ethics, 2025
This qualitative study explores lecturers' perspectives on the role of artificial intelligence (AI) in personalised learning within higher education. The rapid proliferation of AI has introduced numerous ethical challenges, including the potential for academic dishonesty and misuse. One concern highlighted in this study is maintaining academic…
Descriptors: College Faculty, Teacher Attitudes, Artificial Intelligence, Technology Uses in Education
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Schafer, Zachary C.; Scharmann, Lawrence C. – Science Teacher, 2021
Many students possess their own unique potential and "genius," but seem to base their worth on the status of grades instead of their connection to education itself. Antonio Salieri, for instance, created wonderful, emotionally binding music throughout his lifetime. Salieri however, never saw the beauty in his work because Mozart, a child…
Descriptors: Musicians, Musical Composition, Aesthetics, Gifted
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Saulnier, Celine A.; Klaiman, Cheryl – Psychology in the Schools, 2022
Adaptive behavior skills are often delayed in autism spectrum disorder (ASD), and these behaviors are significantly associated with poor outcomes in adulthood, especially for autistic individuals that have no cognitive and/or language delays. Therefore, despite having the capacity to be self-sufficient, the vast majority of autistic adults fail to…
Descriptors: Autism, Pervasive Developmental Disorders, Daily Living Skills, Interpersonal Competence
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Xu, Haiyun; Winnink, Jos; Wu, Huawei; Pang, Hongshen; Wang, Chao – Research Evaluation, 2022
This study approaches the identification and prediction of transformative research topics by using the concepts of catastrophe theory. Based on the evaluation model of catastrophe theory, 11 indicators were selected for four different aspects: growth rate, economic and social influence, network characteristics and the degree of uncertainty in…
Descriptors: Cytology, Scientific Research, Identification, Innovation
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Steed, Elizabeth A.; Stein, Rachel – Topics in Early Childhood Special Education, 2023
We surveyed early childhood personnel in the U.S. state of Colorado to explore reported practices during the initial evaluation of young children for early intervention or preschool special education. One hundred early childhood personnel participated. Overall, reported evaluation practices and processes matched recommended practices and met legal…
Descriptors: Early Childhood Education, Early Childhood Teachers, Teacher Attitudes, Teacher Surveys
Marissa J. Filderman; Clark McKown; Pamela Bailey; Gregory J. Benner; Keith Smolkowski – Beyond Behavior, 2023
The collection of student data through screening and progress monitoring of social and emotional learning (SEL) skills is just as important as the implementation of curriculum and practices. Monitoring skill acquisition allows teachers to identify effective practices, provide intervention, and intensify support for students who need it. In this…
Descriptors: Elementary School Students, Social Emotional Learning, Skill Development, Progress Monitoring
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Frank J. Snyder; Fatimah E. Khan – Gifted Education International, 2025
This article discusses concepts related to character strengths and positive youth development and how these ideas can be applied to improve outcomes among gifted young people. A theory with roots in public health, The Theory of Triadic Influence (TTI), is discussed with examples applied to gifted populations. Practitioners and researchers from…
Descriptors: Youth, Academically Gifted, Gifted, Gifted Education
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