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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
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
Kellen, David; McAdoo, Ryan M. – Cognitive Research: Principles and Implications, 2022
Sequential lineups are one of the most commonly used procedures in police departments across the USA. Although this procedure has been the target of much experimental research, there has been comparatively little work formally modeling it, especially the sequential nature of the judgments that it elicits. There are also important gaps in our…
Descriptors: Guidelines, Comparative Analysis, Police, Law Enforcement
Lampinen, James Michael; Race, Brittany; Wolf, Alexander P.; Phillips, Paulie; Moriarty, Nathalie; Smith, Andrew M. – Applied Cognitive Psychology, 2020
It is generally agreed that proper pre-lineup instructions can reduce the rate of mistaken identifications of innocent suspects. However, the exact nature of these instructions has not been empirically established. We compared the effects of the detailed pre-lineup instructions recommended by the US Department of Justice to a simple instruction…
Descriptors: Identification, Guidelines, Bias, Error Patterns
Xuandong Zhao – ProQuest LLC, 2024
The rapid advancement of powerful Large Language Models (LLMs), such as ChatGPT and Llama, has revolutionized the world by bringing new creative possibilities and enhancing productivity. However, these advancements also pose significant challenges and risks, including the potential for misuse in the form of fake news, academic dishonesty,…
Descriptors: Computational Linguistics, Intellectual Property, Artificial Intelligence, Productivity
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
Melton, Britany; Marchese, Nancy; Weiss, Mary Jane – International Electronic Journal of Elementary Education, 2023
The provision of applied behavior analytic (ABA) services is a highly efficacious intervention approach most often used to improve the lives of individuals with autism spectrum disorder (ASD)/Autistics. Given the advancement of the field, more nuanced skill sets of behavior analysts, such as compassionate care skills, are emerging as the focus of…
Descriptors: Altruism, Applied Behavior Analysis, Intervention, Autism Spectrum Disorders
Charman, Steve D.; Carol, Rolando N.; Schwartz, Shari L. – Applied Cognitive Psychology, 2018
Although it is well-known that biased lineup instructions (i.e., those that do not inform witnesses the perpetrator may not be in the lineup) inflate false identifications, their effects on witness confidence are less well understood due to methodological limitations of past studies. We report two studies that use novel methodologies to obviate…
Descriptors: Bias, Identification, Guidelines, Crime
Andrea Trubanova Wieckowski; Georgina Perez Liz; Ashley de Marchena; Deborah A. Fein; Marianne L. Barton; Giacomo Vivanti; Diana L. Robins – Autism: The International Journal of Research and Practice, 2024
Universal autism screening is recommended by the American Academy of Pediatrics at 18 and 24 months. However, many children are not identified until after the age of 4 years, and some not until adulthood, either due to mild or no indication of symptoms early in development, or to co-occurring conditions which may overshadow autism symptoms. This…
Descriptors: Check Lists, Toddlers, Autism Spectrum Disorders, Parent Attitudes
Liu, Yilan; Lee, Sue Ann S.; Chen, Wenjun – Journal of Speech, Language, and Hearing Research, 2022
Introduction: Assessment of resonance characteristics is essential in research and clinical practice in individuals with velopharyngeal impairment. The purpose of this study was to systematically review correlations between auditory perceptual ratings and nasalance scores obtained by a nasometer in individuals with resonance disorders and to…
Descriptors: Correlation, Auditory Perception, Meta Analysis, Guidelines
Gettleman, Jessica N.; Grabman, Jesse H.; Dobolyi, David G.; Dodson, Chad S. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2021
When pristine testing conditions are used, an eyewitness's high-confidence identification from a lineup can be a reliable predictor of their identification accuracy (Wixted & Wells, 2017). Further, Grabman, Dobolyi, Berelovich, and Dodson (2019) found that high-confidence identifications are more predictive of accuracy for individuals with…
Descriptors: Decision Making, Human Body, Recognition (Psychology), Accuracy
US Department of Education, 2025
The Elementary and Secondary Education Act of 1965 (ESEA) requires each State to establish a methodology for identifying schools for support and improvement, based on data from the statewide system of annual meaningful differentiation. This guidance is designed to support State educational agencies (SEAs), local educational agencies (LEAs), and…
Descriptors: Educational Legislation, Federal Legislation, Elementary Secondary Education, State Boards of Education
Hassanein, Elsayed E. A.; Johnson, Evelyn S.; Alshaboul, Yousef; Ibrahim, Sayed; Megreya, Ahmed; Al-Hendawi, Maha; Al-Attiyah, Asma – Reading Psychology, 2021
In recent years, stronger literacy development has emerged as a critically important issue in Arabic speaking nations. Results of international assessments indicate that most of the participating Arab countries are near the bottom of achievement levels. Additionally, recent studies indicate the prevalence rate of reading disability ranges from…
Descriptors: Semitic Languages, Literacy Education, Reading Difficulties, Emergent Literacy
Cohausz, Lea – Journal of Educational Data Mining, 2022
Student success and drop-out predictions have gained increased attention in recent years, connected to the hope that by identifying struggling students, it is possible to intervene and provide early help and design programs based on patterns discovered by the models. Though by now many models exist achieving remarkable accuracy-values, models…
Descriptors: Guidelines, Academic Achievement, Dropouts, Prediction
Fitzpatrick, Beth; Coad, Jane; Sell, Debbie; Rihtman, Tanya – International Journal of Language & Communication Disorders, 2020
Background: There is no consensus in the UK regarding the types of speech samples or parameters of speech that should be assessed at 3 years of age in children with cleft palate ± cleft lip (CP±L), despite cleft units routinely assessing speech at this age. The standardization of assessment practices would facilitate comparisons of outcomes across…
Descriptors: Speech Evaluation, Congenital Impairments, Speech Impairments, Preschool Children

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