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Christopher J. Anthony; Stephen N. Elliott – School Mental Health, 2025
Stress is a complex construct that is related to resilience and general health starting in childhood. Despite its importance for student health and well-being, there are few measures of stress designed for school-based applications. In this study, we developed and initially validated a Stress Indicators Scale using five samples of teachers,…
Descriptors: Test Construction, Stress Variables, Test Validity, Test Items
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Danwei Cai; Ben Naismith; Maria Kostromitina; Zhongwei Teng; Kevin P. Yancey; Geoffrey T. LaFlair – Language Learning, 2025
Globalization and increases in the numbers of English language learners have led to a growing demand for English proficiency assessments of spoken language. In this paper, we describe the development of an automatic pronunciation scorer built on state-of-the-art deep neural network models. The model is trained on a bespoke human-rated dataset that…
Descriptors: Automation, Scoring, Pronunciation, Speech Tests
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Berna Kiliç; Mahmut Selvi – International Journal of Assessment Tools in Education, 2025
It is important to determine the level of pedagogical content knowledge of teachers regarding skills. The aim of this study is to establish the theoretical framework of skill-specific pedagogical content knowledge and to develop a reliable and valid scale to measure teachers' entrepreneurship pedagogical content knowledge. The draft scale form was…
Descriptors: Entrepreneurship, Pedagogical Content Knowledge, Teacher Competency Testing, Test Reliability
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Janika Saretzki; Rosalie Andrae; Boris Forthmann; Mathias Benedek – Journal of Creative Behavior, 2025
Divergent thinking (DT) ability is widely regarded as a central cognitive capacity underlying creativity, but its assessment is challenged by the fact that DT tasks yield a variable number of responses. Various approaches for the scoring of DT tasks have been proposed, which differ in how responses are evaluated and aggregated within a task. The…
Descriptors: Creative Thinking, Creativity Tests, Scoring, Metacognition
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Jennifer Manning; Jeffrey Baldwin; Natasha Powell – Innovations in Education and Teaching International, 2025
As ChatGPT continues to reshape student engagement and instructional design, it is crucial to examine its practical implications. This study aims to evaluate the effectiveness of ChatGPT3.5 and ChatGPT4 as potential automated essay scoring (AES) systems. Fifty authentic, student-written annotated bibliographies were evaluated by three human raters…
Descriptors: Foreign Countries, Essays, Writing Evaluation, Artificial Intelligence
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Takashi Mori; Nami Ogawa; Ichiro Fujishima; Hidetaka Wakabayashi; Keishi Okamoto; Yuto Kameyama; Ai Hirano; Fumiko Oshima; Masataka Itoda; Sumito Ogawa; Tomohisa Ohno; Minoru Yamada; Kenjiro Kunieda; Takashi Shigematsu; Shinta Nishioka; Kazuki Fukuma; Akio Shimizu; Yoichiro Sugiyama – International Journal of Language & Communication Disorders, 2025
Purpose: Measurement of swallowing muscle mass is important in determining sarcopenic dysphagia. Ultrasound equipment can measure the cross-sectional area of the swallowing muscles, but the inter-instrument reliability is unknown. In this study, the inter-instrument reliability was investigated. Methods: Three ultrasound devices were used to…
Descriptors: Human Body, Motor Reactions, Diagnostic Tests, Acoustics
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Guy B. deBrun – Journal of Outdoor Recreation, Education, and Leadership, 2025
Discussions of what it means to be an effective outdoor leader are common in outdoor education literature (Martin et al., 2025; Smith, 2021). Research has identified core competencies (Martin et al., 2025), conceptual frameworks (Pomfret et al., 2023), and course curricula/qualifications for effective leadership (Baker & O'Brien, 2019; Seaman…
Descriptors: Outdoor Leadership, Leadership Effectiveness, Evaluation Methods, Scoring Rubrics
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Esma Esen Çiftçi; Esra Dasçi; Cansu Ayan; Zeynep Uludag – International Journal of Assessment Tools in Education, 2025
Men's participation is an important indicator for achieving gender equality. The purpose of this study is to adapt the "Support for Gender Equality among Men Scale (SGEMS)" developed by Sudkamper et al. (2020) to Turkish. The scale examines men's support for gender equality in two sub-dimensions: public space and household. In the study,…
Descriptors: Foreign Countries, Males, Gender Bias, Community
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Brogan L. Barr; Virginia V. W. McIntosh; Eileen F. Britt; Jennifer Jordan; Janet D. Carter – Measurement: Interdisciplinary Research and Perspectives, 2024
Even when raters demonstrate agreement in the use of a measure, limited score variability or violation of often-ignored statistical assumptions can result in lower reliability estimates than intuitively expected. This article uses data drawn from two randomized controlled trials of schema therapy and cognitive behavioral therapy for the treatment…
Descriptors: Evaluators, Interrater Reliability, Reliability, Measurement Techniques
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Sas, Marlies; Snaphaan, Thom; Pauwels, Lieven J. R.; Ponnet, Koen; Hardyns, Wim – Field Methods, 2023
This study focuses on the use of systematic social observations (SSO) to measure crime prevention through environmental design (CPTED) and disorder. To improve knowledge about measurement issues in small area research, SSO is conducted by means of three different methods: in-situ, photographs, and Google Street View (GSV) imagery. By evaluating…
Descriptors: Crime Prevention, Measurement Techniques, Photography, Observation
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Zhou, Shuqi; Merzdorf, Hillary E.; Douglas, Kerrie A.; Moore, Tamara J. – Journal of Pre-College Engineering Education Research, 2023
This study aimed to develop a K-12 classroom observation protocol to assess K-12 teachers' implementation of science, technology, engineering, and mathematics (STEM) integration. The intended purpose of the observation protocol is for researchers to examine how K-12 teachers implement the STEM integrated curriculum. Based on research on STEM…
Descriptors: Test Construction, Test Validity, STEM Education, Classroom Observation Techniques
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Victoria Reyes; Elizabeth Bogumil; Levin Elias Welch – Sociological Methods & Research, 2024
Transparency is once again a central issue of debate across types of qualitative research. Work on how to conduct qualitative data analysis, on the other hand, walks us through the step-by-step process on how to code and understand the data we've collected. Although there are a few exceptions, less focus is on transparency regarding…
Descriptors: Qualitative Research, Data Analysis, Guides, Databases
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Stefanie A. Wind; Yuan Ge – Measurement: Interdisciplinary Research and Perspectives, 2024
Mixed-format assessments made up of multiple-choice (MC) items and constructed response (CR) items that are scored using rater judgments include unique psychometric considerations. When these item types are combined to estimate examinee achievement, information about the psychometric quality of each component can depend on that of the other. For…
Descriptors: Interrater Reliability, Test Bias, Multiple Choice Tests, Responses
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Haiko Bruno Zimmermann; Debora Knihs; Raphael Sakugawa; Chris Bishop; Juliano Dal Pupo – Measurement in Physical Education and Exercise Science, 2024
Background: Measures that assess muscle strength and its development, either voluntarily or involuntarily, are important in the clinical and research context. The main aim of this study was to verify the interday reliability and the minimum detectable change (MDC) of the knee extensors muscles torque using evoked contractions and explosive…
Descriptors: Human Body, Physiology, Motor Reactions, Muscular Strength
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William C. M. Belzak; Daniel J. Bauer – Journal of Educational and Behavioral Statistics, 2024
Testing for differential item functioning (DIF) has undergone rapid statistical developments recently. Moderated nonlinear factor analysis (MNLFA) allows for simultaneous testing of DIF among multiple categorical and continuous covariates (e.g., sex, age, ethnicity, etc.), and regularization has shown promising results for identifying DIF among…
Descriptors: Test Bias, Algorithms, Factor Analysis, Error of Measurement
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