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Gerald Gartlehner; Leila Kahwati; Rainer Hilscher; Ian Thomas; Shannon Kugley; Karen Crotty; Meera Viswanathan; Barbara Nussbaumer-Streit; Graham Booth; Nathaniel Erskine; Amanda Konet; Robert Chew – Research Synthesis Methods, 2024
Data extraction is a crucial, yet labor-intensive and error-prone part of evidence synthesis. To date, efforts to harness machine learning for enhancing efficiency of the data extraction process have fallen short of achieving sufficient accuracy and usability. With the release of large language models (LLMs), new possibilities have emerged to…
Descriptors: Data Collection, Evidence, Synthesis, Language Processing
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Sean N. Weeks; Tyler L. Renshaw; Allysia A. Rainey; Aubrey Hiatt – Journal of Emotional and Behavioral Disorders, 2024
Internalizing and externalizing problems are common targets for school mental health screening. Prior research supports the interpretation of scores from the Youth Internalizing Problems Screener (YIPS) and the Youth Externalizing Problems Screener (YEPS), which were developed separately yet intended as companion measures. We extended previous…
Descriptors: Adolescents, Screening Tests, Behavior Problems, Mental Health
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Lientje Maas; Matthew J. Madison; Matthieu J. S. Brinkhuis – Grantee Submission, 2024
Diagnostic classification models (DCMs) are psychometric models that yield probabilistic classifications of respondents according to a set of discrete latent variables. The current study examines the recently introduced one-parameter log-linear cognitive diagnosis model (1-PLCDM), which has increased interpretability compared with general DCMs due…
Descriptors: Clinical Diagnosis, Classification, Models, Psychometrics
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Madeline A. Schellman; Matthew J. Madison – Grantee Submission, 2024
Diagnostic classification models (DCMs) have grown in popularity as stakeholders increasingly desire actionable information related to students' skill competencies. Longitudinal DCMs offer a psychometric framework for providing estimates of students' proficiency status transitions over time. For both cross-sectional and longitudinal DCMs, it is…
Descriptors: Diagnostic Tests, Classification, Models, Psychometrics
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Chun Sing Maxwell Ho; Jiafang Lu – Journal of Professional Capital and Community, 2024
Purpose: This study aims to develop and validate a scale to measure Teacher Entrepreneurial Behavior (TEB), which encapsulates the behaviors teachers employ to identify and amplify innovation in schools. TEB are catalysts for innovation, navigating their peers through risks and building trust, which empowers the collective to transcend structural…
Descriptors: Teacher Behavior, Entrepreneurship, Innovation, Measures (Individuals)
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Raykov, Tenko; Marcoulides, George A. – Measurement: Interdisciplinary Research and Perspectives, 2023
This article outlines a readily applicable procedure for point and interval estimation of the population discrepancy between reliability and the popular Cronbach's coefficient alpha for unidimensional multi-component measuring instruments with uncorrelated errors, which are widely used in behavioral and social research. The method is developed…
Descriptors: Measurement, Test Reliability, Measurement Techniques, Error of Measurement
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Aditya Shah; Ajay Devmane; Mehul Ranka; Prathamesh Churi – Education and Information Technologies, 2024
Online learning has grown due to the advancement of technology and flexibility. Online examinations measure students' knowledge and skills. Traditional question papers include inconsistent difficulty levels, arbitrary question allocations, and poor grading. The suggested model calibrates question paper difficulty based on student performance to…
Descriptors: Computer Assisted Testing, Difficulty Level, Grading, Test Construction
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Sebastião Quintas; Mathieu Balaguer; Julie Mauclair; Virginie Woisard; Julien Pinquier – International Journal of Language & Communication Disorders, 2024
Background: Perceptual measures such as speech intelligibility are known to be biased, variant and subjective, to which an automatic approach has been seen as a more reliable alternative. On the other hand, automatic approaches tend to lack explainability, an aspect that can prevent the widespread usage of these technologies clinically. Aims: In…
Descriptors: Speech Communication, Cancer, Human Body, Intelligibility
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Peter Elsborg; Paulina S. Melby; Mette Kurtzhals; Helene Kirkegaard; Johannes Carl; Steffen Rask; Peter Bentsen; Glen Nielsen – Measurement in Physical Education and Exercise Science, 2024
This study aimed to develop and test MyPL, a questionnaire that measures self-reported physical literacy (PL) among children and adolescents. First, the item pool was developed and adapted, and face validity was tested with cognitive interviewing. Then, factor structures were identified through multidimensional scaling and exploratory factor…
Descriptors: Questionnaires, Children, Early Adolescents, Models
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Xiaoxuan Fang; Davy Tsz Kit Ng; Jac Ka Lok Leung; Huixuan Xu – Interactive Learning Environments, 2024
The Attention, Relevance, Confidence, and Satisfaction or ARCS model is an effective motivational model that has been widely accepted by education practitioners. Literature on the ARCS model has focused primarily on aspects of educational settings, research methods, and outcomes. However, few studies have addressed the applications of the ARCS…
Descriptors: Attention, Relevance (Education), Self Esteem, Student Satisfaction
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Töre, Esra; Naiboglu, Gülsu – Journal of Educational Leadership and Policy Studies, 2023
This research aims to adapt the Kaleidoscope Career Model Scale (KCMS) developed in the USA by Sullivan, Forret, Carraher, and Mainiero into Turkish. For the research, the opinions of 433 teachers and 93 school managers working in Istanbul in the 2020-2021 academic year were consulted. The findings obtained from the analysis studies showed the…
Descriptors: Test Construction, Turkish, Career Development, Models
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Olivia Szendey – Society for Research on Educational Effectiveness, 2024
Background & Context: Intersectionality theory posits that each individual's unique intersection of identity is integral to understanding their lived experience. Intersectionality theory also understands that social positions interact with oppression to influence an individual's lived experience (Bowleg, 2012; Collins, 2007; Crenshaw, 1989).…
Descriptors: Educational Research, Educational Researchers, Intersectionality, Self Concept
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Aykan, Ahmet; Elkonca, Fuat – Shanlax International Journal of Education, 2022
This study aimed to develop the "Lesson Study Model Perception Scale" (LSMPS) and to determine the psychometric properties of the scale. The study was designed as a survey model. A survey model is a research approach that aims to describe a situation as it is. When all the findings obtained to determine the psychometric properties of the…
Descriptors: Communities of Practice, Models, Test Construction, Test Validity
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Beseiso, Majdi; Alzubi, Omar A.; Rashaideh, Hasan – Journal of Computing in Higher Education, 2021
E-learning is gradually gaining prominence in higher education, with universities enlarging provision and more students getting enrolled. The effectiveness of automated essay scoring (AES) is thus holding a strong appeal to universities for managing an increasing learning interest and reducing costs associated with human raters. The growth in…
Descriptors: Automation, Scoring, Essays, Writing Tests
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García-Sanz, M. Paz; Belmonte, M. Luisa; Galián, Begoña – Electronic Journal of Research in Educational Psychology, 2022
Introduction: The furtherance of educational, social and occupational inclusion has led to increasing acceptance of people with intellectual disabilities as full members of the community. However, attitudes and behaviors towards these people are not always positive. Method: Taking the model of the FUNDOWN School of Life as the theoretical basis,…
Descriptors: Test Validity, Attitudes toward Disabilities, Intellectual Disability, Secondary School Students
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