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Srijita Chakraburty; Krista D. Glazewski; Cindy E. Hmelo-Silver; Dubravka Svetina Valdivia; Anne Ottenbreit-Leftwich; Bradford Mott; James Lester – Information and Learning Sciences, 2025
Purpose: This paper aims to introduce a novel AI learning progression for upper-elementary students and aligns assessment items across levels of each construct to gather evidence of understanding. It also validates this quantitative measure by examining these items as two subscales for psychometric properties using the Rasch model.…
Descriptors: Elementary School Students, Knowledge Level, Artificial Intelligence, Student Evaluation
Huilin Chen; Jeffrey J. Wood; Connor M. Kerns; Eric A. Storch; Philip C. Kendall; Gaia Scerif; Cathy Creswell – Autism: The International Journal of Research and Practice, 2025
Anxiety is one of the most prevalent mental health challenges in autistic children, yet there is limited evidence on effective tools to measure treatment outcomes. Previous research with non-autistic children has found that the Child Anxiety Impact Scale, Parent Version achieved good diagnostic accuracy when measuring treatment outcomes and…
Descriptors: Anxiety, Outcomes of Treatment, Autism Spectrum Disorders, Psychometrics
Michael C. W. English; Rebecca E. Poulsen; Murray T. Maybery; David McAlpine; Paul F. Sowman; Elizabeth Pellicano – Autism: The International Journal of Research and Practice, 2025
Measures of autistic traits are only useful -- for pre-diagnostic screening, exploring individual differences, and gaining personal insight -- if they efficiently and accurately assess autism as currently conceptualised while maintaining psychometric validity across different demographic groups. We recruited 1322 autistic and 1279 non-autistic…
Descriptors: Autism Spectrum Disorders, Symptoms (Individual Disorders), Psychometrics, Screening Tests
Furlong, Michael J.; Paz, Jennica L.; Carter, Delwin; Dowdy, Erin; Nylund-Gibson, Karen – Contemporary School Psychology, 2023
The Social Emotional Health Survey-Secondary-2020 (SEHS-S-2020) is a well-studied option for assessing social emotional health to support students within a multitiered system of school support. While a growing body of literature supports the SEHS-S-2020 measure for assessing student covitality, there is less validation evidence specifically for…
Descriptors: Middle School Students, Grade 7, Grade 8, Social Development
Sievers, Matt; Reemts, Connor; Dickinson, Katherine J.; Mukerji, Joya; Beltran, Ismael Barreras; Theobald, Elli J.; Velasco, Vicente; Freeman, Scott – Biochemistry and Molecular Biology Education, 2023
Researchers have called for undergraduate courses to update teaching frameworks based on the Modern Synthesis with insights from molecular biology, by stressing the molecular underpinnings of variation and adaptation. To support this goal, we developed a modified version of the widely used Assessing Conceptual Reasoning of Natural Selection…
Descriptors: Student Evaluation, Knowledge Level, Molecular Biology, Evolution
Leithwood, Kenneth; Sun, Jingping; Schumacker, Randall; Hua, Cheng – Journal of Educational Administration, 2023
Purpose: This study extends research on one of the most frequently cited school leadership frameworks by examining the psychometric properties of the instrument designed to assess many of the practices included in that framework. Design/methodology/approach: Using data collected from 1,401 teachers the study examined the instrument's measurement…
Descriptors: Psychometrics, Leadership Effectiveness, Success, Test Construction
Assessing Psychometric Properties of the Self-Directed Learning Scale in Chinese University Students
Zhang, Di; Yang, Lan – Journal of Psychoeducational Assessment, 2023
As one of the 21st-century skills, self-directed learning (SDL) has received widespread attention and has become an essential research topic in education. In this study, we examined the psychometric properties of the SDL scale (SDLS) (Lounsbury et al., 2009) with a sample of 408 Chinese undergraduates. Previous research on Chinese students has…
Descriptors: Psychometrics, Independent Study, Measures (Individuals), Foreign Countries
Chen, Shan; Ding, Yuanzhao – Journal of Psychoeducational Assessment, 2023
In primary schools, the incorporation of STEAM education has become a widespread trend, as it is believed to have the potential to enhance the quality of education and foster students' competencies. This investigation aimed to explore the definition, measurement model, and scale of students' STEAM competence, emphasizing their hands-on experiences…
Descriptors: Psychometrics, STEM Education, Art Education, Elementary School Students
Avci-Dogan, Gülsah; Akbulut, Yavuz; Sak, Ugur – Infant and Child Development, 2023
Processing speed is a component of general intelligence and an indicator of learning potential. There is a need for robust measures of mental speed based on contemporary theoretical developments. The current study addressed this need by proposing a mental speed test for children aged 60 to 96 months (5 to 8 years) and examining its psychometric…
Descriptors: Test Construction, Young Children, Psychometrics, Cognitive Processes
Chen, Nanxi; Wu, Dandan; Hong, Huang-Yao; Chai, Ching Sing; Liang, Jyh-Chong – International Journal of Technology and Design Education, 2023
Engaging in design thinking activities has been increasingly viewed as important for the craft of teaching for early childhood practitioners. However, reliable and valid measurements for this are lacking. As such, this research aims to develop and validate a design thinking engagement scale (DTES) to assess teachers' engagement in design thinking.…
Descriptors: Design, Thinking Skills, Test Construction, Test Validity
Hwang, Jackelyn; Dahir, Nima; Sarukkai, Mayuka; Wright, Gabby – Sociological Methods & Research, 2023
Visual data have dramatically increased in quantity in the digital age, presenting new opportunities for social science research. However, the extensive time and labor costs to process and analyze these data with existing approaches limit their use. Computer vision methods hold promise but often require large and nonexistent training data to…
Descriptors: Data Analysis, Visual Aids, Sanitation, Municipalities
Hosseini, Seyed Ruhollah; Tabbassi, Saeideh Saffar; Mosaferi, Simin; Mousavinezad, Seyyed Hossein; Nooripour, Roghieh; Firoozabadi, Abbas; Ghanbari, Nikzad – Psychology in the Schools, 2023
Psychotic-like experiences (PLEs), or subclinical hallucinations and delusions, are common symptoms among young adults. Therefore, the current study aimed to assess the psychometric properties of the Psychotic-Like Experiences Questionnaire for Children (PLEQ-C) in Iranian school students. The study method was cross-sectional, and the population…
Descriptors: Indo European Languages, Psychosis, Questionnaires, Psychometrics
Lee, Yunsoo; Song, Ji Hoon; Kim, Soo Jung – European Journal of Training and Development, 2023
Purpose: This paper aims to validate the Korean version of the decent work scale and examine the relationship between decent work and work engagement. Design/methodology/approach: After completing translation and back translation, the authors surveyed 266 Korean employees from various organizations via network sampling. They assessed Rasch's model…
Descriptors: Test Validity, Measures (Individuals), Work Attitudes, Test Reliability
Darvishi, Ali; Khosravi, Hassan; Rahimi, Afshin; Sadiq, Shazia; Gasevic, Dragan – IEEE Transactions on Learning Technologies, 2023
Engaging students in creating learning resources has demonstrated pedagogical benefits. However, to effectively utilize a repository of student-generated content (SGC), a selection process is needed to separate high- from low-quality resources as some of the resources created by students can be ineffective, inappropriate, or incorrect. A common…
Descriptors: Student Developed Materials, Educational Assessment, Peer Evaluation, Evaluation Methods
Franco-Martínez, Alicia; Alvarado, Jesús M.; Sorrel, Miguel A. – Educational and Psychological Measurement, 2023
A sample suffers range restriction (RR) when its variance is reduced comparing with its population variance and, in turn, it fails representing such population. If the RR occurs over the latent factor, not directly over the observed variable, the researcher deals with an indirect RR, common when using convenience samples. This work explores how…
Descriptors: Factor Analysis, Factor Structure, Scores, Sampling

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