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Showing 1 to 15 of 31 results Save | Export
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Zsuzsa Bakk – Structural Equation Modeling: A Multidisciplinary Journal, 2024
A standard assumption of latent class (LC) analysis is conditional independence, that is the items of the LC are independent of the covariates given the LCs. Several approaches have been proposed for identifying violations of this assumption. The recently proposed likelihood ratio approach is compared to residual statistics (bivariate residuals…
Descriptors: Goodness of Fit, Error of Measurement, Comparative Analysis, Models
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Brian Erly; Parker Jackson; Therese Pilonetti – Journal of School Nursing, 2025
During the 2020-2021 school year, many schools adopted remote learning or a part-time in-person learning ("hybrid") approach to reduce the risk of in-school transmission of COVID-19. The purpose of this work is to describe case rates of COVID-19 in schools practicing different learning modalities on rates of COVID-19 to support…
Descriptors: Blended Learning, COVID-19, Pandemics, Risk
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Ethan Weed; Riccardo Fusaroli; Elizabeth Simmons; Inge-Marie Eigsti – Language Learning and Development, 2024
The current study investigated whether the difficulty in finding group differences in prosody between speakers with autism spectrum disorder (ASD) and neurotypical (NT) speakers might be explained by identifying different acoustic profiles of speakers which, while still perceived as atypical, might be characterized by different acoustic qualities.…
Descriptors: Network Analysis, Autism Spectrum Disorders, Intonation, Suprasegmentals
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Philippe Goldammer; Peter Lucas Stöckli; Yannik Andrea Escher; Hubert Annen; Klaus Jonas – Educational and Psychological Measurement, 2024
Indirect indices for faking detection in questionnaires make use of a respondent's deviant or unlikely response pattern over the course of the questionnaire to identify them as a faker. Compared with established direct faking indices (i.e., lying and social desirability scales), indirect indices have at least two advantages: First, they cannot be…
Descriptors: Identification, Deception, Psychological Testing, Validity
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Saijun Zhao; Zhiyong Zhang; Hong Zhang – Grantee Submission, 2024
Mediation analysis is widely applied in various fields of science, such as psychology, epidemiology, and sociology. In practice, many psychological and behavioral phenomena are dynamic, and the corresponding mediation effects are expected to change over time. However, most existing mediation methods assume a static mediation effect over time,…
Descriptors: Bayesian Statistics, Statistical Inference, Longitudinal Studies, Attribution Theory
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Saijun Zhao; Zhiyong Zhang; Hong Zhang – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Mediation analysis is widely applied in various fields of science, such as psychology, epidemiology, and sociology. In practice, many psychological and behavioral phenomena are dynamic, and the corresponding mediation effects are expected to change over time. However, most existing mediation methods assume a static mediation effect over time,…
Descriptors: Bayesian Statistics, Statistical Inference, Longitudinal Studies, Attribution Theory
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Siraprapa Kotmungkun; Wichuta Chompurach; Piriya Thaksanan – English Language Teaching Educational Journal, 2024
This study explores the writing quality of two AI chatbots, OpenAI ChatGPT and Google Gemini. The research assesses the quality of the generated texts based on five essay models using the T.E.R.A. software, focusing on ease of understanding, readability, and reading levels using the Flesch-Kincaid formula. Thirty essays were generated, 15 from…
Descriptors: Plagiarism, Artificial Intelligence, Computer Software, Essays
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Hilario Blasco-Fontecilla; José Manuel Ramos; María Inés López-Ibor; Carlos Chiclana-Actis; Manuel Faraco; Joaquín González-Cabrera; Eduardo González-Fraile; Gemma Mestre-Bach; Héctor Pinargote-Celorio; Manuel Corpas; Lucía Gallego; Octavio Corral; Vicente Soriano – Journal of Attention Disorders, 2025
Background: Attention deficit hyperactive disorder (ADHD) is a leading mental disorder among adolescents globally and is associated with premature mortality. Knowing the trends and key determinants of ADHD in youth are critical for earlier diagnosis and interventions. Methods: We retrospectively examined all hospitalizations in patients aged 11 to…
Descriptors: Attention Deficit Hyperactivity Disorder, Behavior Disorders, Trend Analysis, Hospitals
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Seyda Aydin-Karaca; Mustafa Serdar Köksal; Bilkay Bi – Journal of Psychoeducational Assessment, 2024
This study aimed to develop a parent rating scale (PRSG) for screening children for further identification process in terms of giftedness. The participants of the study were 255 parents of gifted and non-gifted students. The PRSG, consisting of 30 items, was created by consulting parents and reviewing instruments existent in the literature. As…
Descriptors: Rating Scales, Parent Attitudes, Scores, Comparative Analysis
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Rui Pinto; Rolando Martins; Carlos Novo – Journal of Cybersecurity Education, Research and Practice, 2024
An organization's infrastructure rests upon the premise that cybersecurity professionals have specific knowledge in administrating and protecting it against outside threats. Without this expertise, sensitive information could be leaked to malicious actors and cause damage to critical systems. In order to facilitate this process, the presented work…
Descriptors: Computer Science Education, Information Security, Computer Security, Vignettes
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Caitlin M. Hudac; Nicole R. Friedman; Victoria R. Ward; Rachel E. Estreicher; Grace C. Dorsey; Raphael A. Bernier; Evangeline C. Kurtz-Nelson; Rachel K. Earl; Evan E. Eichler; Emily Neuhaus – Journal of Autism and Developmental Disorders, 2024
We aimed to identify unique constellations of sensory phenotypes for genetic etiologies associated with diagnoses of autism spectrum disorder (ASD) and intellectual disability (ID). Caregivers reported on sensory behaviors via the Sensory Profile for 290 participants (younger than 25 years of age) with ASD and/or ID diagnoses, of which…
Descriptors: Genetics, Etiology, Comparative Analysis, Profiles
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Daniel R. Fredrick; Thomas P. Corbin Jr.; Gregory VanderPyl – Athens Journal of Education, 2025
This paper analyzes essay writing in AI (ChatGPT) and high school students, focusing on their use of specific details. Discussing the writing examples from Waltzer, Cox, and Heyman's study, we employ Aristotle's rhetorical theory to explore how clarity is achieved through specificity in writing. The analysis reveals both ChatGPT and students…
Descriptors: Artificial Intelligence, Technology Integration, Computer Software, Essays
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Kimberly L. Henry; Linda R. Stanley; Randall C. Swaim – Journal of School Health, 2024
Background: High cannabis use rates among American Indian (AI) adolescents necessitate the identification of factors that protect against early cannabis initiation. Methods: Data collected from 279 AI middle school students attending reservation-based schools in 2018 and 2019 were analyzed. Three waves of data, with approximately 6 months between…
Descriptors: American Indian Students, Educational Environment, Marijuana, Identification
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Hongrui Liu; Yuxuan Liu; Meiling Yao – School Mental Health, 2024
The purpose of this study was to address the role of social comparison in determining individual development by exploring the relationship of four types of social comparison with academic persistence-procrastination and subjective well-being among Chinese adolescents (n = 530, M[subscript age] = 14.59) from both variable- and person-centered…
Descriptors: Well Being, Mental Health, Individual Development, Correlation
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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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