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Chunhua Cao; Benjamin Lugu; Jujia Li – Structural Equation Modeling: A Multidisciplinary Journal, 2024
This study examined the false positive (FP) rates and sensitivity of Bayesian fit indices to structural misspecification in Bayesian structural equation modeling. The impact of measurement quality, sample size, model size, the magnitude of misspecified path effect, and the choice or prior on the performance of the fit indices was also…
Descriptors: Structural Equation Models, Bayesian Statistics, Measurement, Error of Measurement
Patient Rambe – Studies in Higher Education, 2024
The South African government announcement on revisiting the Policy for the Recognition of Higher Education Institutional Types has caused anxiety and ambivalence among Universities of Technology (UoTs), institutions that lack a solid foundation for conducting leading research. Most underperforming UoTs feared a possible downgrade or…
Descriptors: Foreign Countries, Research, Productivity, Educational Policy
Kimberly L. Henry; Linda R. Stanley; Randall C. Swaim – Prevention Science, 2024
Reservation-dwelling American Indian adolescents are at exceedingly high risk for cannabis use. Prevention initiatives to delay the onset and escalation of use are needed. The risk and promotive factors approach to substance use prevention is a well-established framework for identifying the timing and targets for prevention initiatives. This study…
Descriptors: Risk, Marijuana, Drug Use, American Indians
Thuy Ho Hoang Nguyen – rEFLections, 2024
This study aims to investigate Vietnamese pain terms and pain descriptors with a focus on how the McGill Pain Questionnaire (MPQ) words are utilised by the Vietnamese patients. Semi-structured interviews were employed to collect data from twenty-six Vietnamese female cancer patients. The data were analysed using both quantitative and qualitative…
Descriptors: Vietnamese, Pain, Classification, Language Usage
Khaldi, Amina; Bouzidi, Rokia; Nader, Fahima – Smart Learning Environments, 2023
In recent years, university teaching methods have evolved and almost all higher education institutions use e-learning platforms to deliver courses and learning activities. However, these digital learning environments present significant dropout and low completion rates. This is primarily due to the lack of student motivation and engagement.…
Descriptors: Gamification, Electronic Learning, Higher Education, Recognition (Achievement)
Zhao, Zhong; Wei, Jiwei; Xing, Jiayi; Zhang, Xiaobin; Qu, Xingda; Hu, Xinyao; Lu, Jianping – Journal of Autism and Developmental Disorders, 2023
This study segmented the time series of gaze behavior from nineteen children with autism spectrum disorder (ASD) and 20 children with typical development in a face-to-face conversation. A machine learning approach showed that behavior segments produced by these two groups of participants could be classified with the highest accuracy of 74.15%.…
Descriptors: Children, Autism Spectrum Disorders, Symptoms (Individual Disorders), Eye Movements
Sen, Sedat; Cohen, Allan S. – Educational and Psychological Measurement, 2023
The purpose of this study was to examine the effects of different data conditions on item parameter recovery and classification accuracy of three dichotomous mixture item response theory (IRT) models: the Mix1PL, Mix2PL, and Mix3PL. Manipulated factors in the simulation included the sample size (11 different sample sizes from 100 to 5000), test…
Descriptors: Sample Size, Item Response Theory, Accuracy, Classification
Pirinen, Veera; Loukusa, Soile; Dindar, Katja; Mäkinen, Leena; Hurtig, Tuula; Jussila, Katja; Mattila, Marja-Leena; Eggers, Kurt – Journal of Speech, Language, and Hearing Research, 2023
Purpose: The purpose of this study was to examine the nature of speech disfluencies in autistic young adults and controls by using a wide-range disfluency classification of typical disfluencies (TD; i.e., filled pauses, revisions, abandoned utterances, and multisyllable word and phrase repetitions), stuttering-like disfluencies (SLD; i.e., sound…
Descriptors: Autism Spectrum Disorders, Young Adults, Stuttering, Speech Impairments
Akkaya, Burcu – International Journal of Contemporary Educational Research, 2023
This study focuses on Grounded Theory, which is one of the qualitative research designs. Glaser and Strauss developed the Grounded Theory; it has been revised by other scientists, resulting in three distinct Grounded Theory approaches: the systematic design (Corbin and Strauss approach), the classical design (Glaser approach), and the…
Descriptors: Grounded Theory, Systems Approach, Design, Data
Espinoza, Oscar; González, Luis Eduardo; Castillo, Dante; McGinn, Noel – Urban Education, 2023
Chile offers high school dropouts a chance to graduate through enrollment in Second Opportunity Centers, located in cities ranging in population from 5 million inhabitants to less than 100,000. Participants in 18 centers were classified into four distinct classes based on their family situation, handicaps, employment, experience with…
Descriptors: Foreign Countries, Dropouts, Secondary Education, Graduation
Jiang, Shiyan; Tang, Hengtao; Tatar, Cansu; Rosé, Carolyn P.; Chao, Jie – Learning, Media and Technology, 2023
It's critical to foster artificial intelligence (AI) literacy for high school students, the first generation to grow up surrounded by AI, to understand working mechanism of data-driven AI technologies and critically evaluate automated decisions from predictive models. While efforts have been made to engage youth in understanding AI through…
Descriptors: Artificial Intelligence, High School Students, Models, Classification
Zheng, Rong; Busemeyer, Jerome R.; Nosofsky, Robert M. – Cognitive Science, 2023
Though individual categorization or decision processes have been studied separately in many previous investigations, few studies have investigated how they interact by using a two-stage task of first categorizing and then deciding. To address this issue, we investigated a categorization-decision task in two experiments. In both, participants were…
Descriptors: Classification, Decision Making, Task Analysis, Feedback (Response)
Ilagan, Michael John; Falk, Carl F. – Educational and Psychological Measurement, 2023
Administering Likert-type questionnaires to online samples risks contamination of the data by malicious computer-generated random responses, also known as bots. Although nonresponsivity indices (NRIs) such as person-total correlations or Mahalanobis distance have shown great promise to detect bots, universal cutoff values are elusive. An initial…
Descriptors: Likert Scales, Questionnaires, Artificial Intelligence, Identification
Cömert, Zeynep; Samur, Yavuz – Interactive Learning Environments, 2023
Almost in every aspect of life, classification and categorization make it easier for humans to analyze complex structures and systems. In games, the classification of the players based on their demographics, behaviors, expectations and preferences of the game is important to increase players' motivation and satisfaction. Likewise, knowing the…
Descriptors: Classification, Student Characteristics, Models, Student Motivation
Ison, Shelby E.; Richards, Kevin Andrew; Hemphill, Michael A.; Templin, Thomas J. – Journal of Teaching in Physical Education, 2023
Background: Over the past several decades, scholars have regularly reviewed qualitative research published in the "Journal of Teaching in Physical Education," among other outlets, to understand the developing role of qualitative methods in physical education and sport pedagogy. In this review, the authors present a descriptive and…
Descriptors: Qualitative Research, Physical Education, Periodicals, Journal Articles