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Diego Cortes; Dirk Hastedt; Sabine Meinck – Large-scale Assessments in Education, 2025
This paper informs users of data collected in international large-scale assessments (ILSA), by presenting argumentsunderlining the importance of considering two design features employed in these studies. We examine a commonmisconception stating that the uncertainty arising from the assessment design is negligible compared with that arisingfrom the…
Descriptors: Sampling, Research Design, Educational Assessment, Statistical Inference
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Shaila Sharmin; Minh-Hao D. Tran; Weihua Fan; Consuelo Arbona; Allison Master; Yali Zou – Journal of Psychoeducational Assessment, 2025
The study examined the psychometric structure of Basic Needs Satisfaction in General Scale (BNSG-S) with a sample of 495 college students. It compared the original 21-item version (Gagné, 2003) with the shortened 16-item version (Johnston & Finney, 2010), both with and without method effects. A series of confirmatory factor analyses (CFA)…
Descriptors: Need Gratification, Measures (Individuals), Psychometrics, College Faculty
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Gerd Kortemeyer; Julian Nöhl – Physical Review Physics Education Research, 2025
This study explores the use of artificial intelligence in grading high-stakes physics exams, emphasizing the application of psychometric methods, particularly item response theory, to evaluate the reliability of AI-assisted grading. We examine how grading rubrics can be iteratively refined and how threshold parameters can determine when…
Descriptors: Physics, Science Tests, Grading, Artificial Intelligence
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Leo Evans; Emily A. Lund; Krystal L. Werfel – Language, Speech, and Hearing Services in Schools, 2025
Purpose: Vocabulary skills in children are typically measured with norm-referenced assessments of receptive and expressive vocabulary. Language sample analysis is an alternative method of examining vocabulary actually produced in communicative events and may be better suited to exposing subtle vocabulary weaknesses. Here, we examine the…
Descriptors: Vocabulary Development, Children, Deafness, Hard of Hearing
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Lauren Prather; Nancy Creaghead; Jennifer Vannest; Lisa Hunter; Amy Hobek; Tamika Odum; Mekibib Altaye; Juanita Lackey – Perspectives of the ASHA Special Interest Groups, 2025
Purpose: The lack of appropriate assessments affects populations presumed to be most at risk for speech and language concerns, one of them being children with a history of preterm birth. This study aims to examine whether cultural bias is present in two currently available language tests for Black children under 3 years of age: the Communication…
Descriptors: African American Children, Premature Infants, Evaluation Methods, Language Tests
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Mao Li; Muhamad Gina Nugraha – International Electronic Journal of Mathematics Education, 2025
This study presents the validation of a Technological Pedagogical Content Knowledge (TPACK) scale tailored explicitly for primary mathematics teachers in China. Recognizing the gap in context-specific TPACK assessment tools, the research aims to provide an instrument that aligns with the unique educational landscape of China. Utilizing established…
Descriptors: Foreign Countries, Technological Literacy, Pedagogical Content Knowledge, Test Validity
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Ryan J. McGill; Stefan C. Dombrowski; Gary L. Canivez – Psychology in the Schools, 2025
The present study examined the posited structure of the Wechsler Intelligence Scale for Children--Fifth Edition (WISC-V) ancillary index scores with normative sample participants aged 6-16 years (N = 2200) using a series of confirmatory factor analyzes (CFA) with maximum likelihood estimation. CFA results supported the retention of auditory…
Descriptors: Children, Intelligence Tests, Test Validity, Scores
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Liangliang Xia; Kexin Shen; Herui Sun; Xin An; Yan Dong – Education and Information Technologies, 2025
While generative artificial intelligence (AI) empowers students in their learning, it may also have the potential to undermine their learning agency. Understanding student learning agency in the generative AI-supported contexts (SLA-GAI) has become critical for educators. However, student learning agency is a domain-specific construct, current…
Descriptors: Artificial Intelligence, Technology Uses in Education, Test Construction, Test Validity
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Mei-Ju Chen; Chao-Yu Guo; Li-Ting Tseng; Ming-Yi Chiu; Hsuan-Jui Weng – Psychology in the Schools, 2025
An interdisciplinary curriculum provides integration of students' subjects and lives, guiding students to understand and engage with changes in the world through real situations and problems, with teachers playing a critical role. However, there is no assessment tool to explore teachers' interdisciplinary role perceptions (TIRP). In this study, an…
Descriptors: Teacher Role, Role Perception, Interdisciplinary Approach, Attitude Measures
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Huiming Ding; Matt Homer – Advances in Health Sciences Education, 2025
Summative assessments are often underused for feedback, despite them being rich with data of students' applied knowledge and clinical and professional skills. To better inform teaching and student support, this study aims to gain insights from summative assessments through profiling students' performance patterns and identify those students…
Descriptors: Summative Evaluation, Profiles, Statistical Analysis, Outcomes of Education
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Ahmed A. Teleb; Abdullah M. Alshahrani – Educational Process: International Journal, 2025
Background/purpose: School bullying is one of the most common school indiscipline problems in public schools, so the current research aimed to develop a School Bullying Victimization Scale (SBVS) and validate its psychometric properties. Materials/methods: The latest version of SBVS consisted of thirty items. It was administered to a sample of 459…
Descriptors: Bullying, Victims, Elementary School Students, Psychometrics
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Elçin Babaoglu; Yalçin Kanbay; Aydan Akkurt Yalçintürk; Aysun Akçam – Journal of Adolescence, 2025
Objective: The aim of the study was to develop the "Digital Amnesia Scale Adolescent Form-DAADF" to determine digital amnesia in adolescents aged 12-18 years and to examine its psychometric characteristics. Methods: In the study, 625 adolescents between the ages of 12-18 who use digital devices such as…
Descriptors: Digital Literacy, Illiteracy, Memory, Knowledge Level
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Sara Santilli; Maria Cristina Ginevra; Ilaria Di Maggio; Salvatore Soresi; Laura Nota – International Journal for Educational and Vocational Guidance, 2025
Sustainable development goals are used as guidance for future career and life design. The importance of including young people in the sustainability process is recognized also by recent vocational guidance literature. Nevertheless, the assessment of the Sustainable Development Goals itself presents a challenge. For these reasons, we validated a…
Descriptors: Test Construction, Test Validity, Sustainable Development, Measures (Individuals)
Joshua B. Gilbert; James G. Soland; Benjamin W. Domingue – Annenberg Institute for School Reform at Brown University, 2025
Value-Added Models (VAMs) are both common and controversial in education policy and accountability research. While the sensitivity of VAMs to model specification and covariate selection is well documented, the extent to which test scoring methods (e.g., mean scores vs. IRT-based scores) may affect VA estimates is less studied. We examine the…
Descriptors: Value Added Models, Tests, Testing, Scoring
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Amy S. Weitlauf; Tori Foster; James C. Slaughter; Mary Fleck; Jill Harris; Caroline Coffield; Kathleen Simcoe; Jenny Baggett; Alacia Stainbrook; Zachary E. Warren – Journal of Autism and Developmental Disorders, 2025
Tele-assessment of autism in early childhood has increased. However, it is unclear how autism screening tools (M-CHAT-R, DCI) function as part of tele-assessment and relate to a commonly used tele-assessment instrument, the TAP. 361 families from a clinically referred sample of children (mean age: 27.63 months, sd = 4.86 months) completed the…
Descriptors: Screening Tests, Clinical Diagnosis, Diagnostic Tests, Telecommunications
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