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Félix González-Carrasco; Felipe Espinosa Parra; Izaskun Álvarez-Aguado; Sebastián Ponce Olguín; Vanessa Vega Córdova; Miguel Roselló-Peñaloza – British Journal of Learning Disabilities, 2025
Background: The study focuses on the need to optimise assessment scales for support needs in individuals with intellectual and developmental disabilities. Current scales are often lengthy and redundant, leading to exhaustion and response burden. The goal is to use machine learning techniques, specifically item-reduction methods and selection…
Descriptors: Artificial Intelligence, Intellectual Disability, Developmental Disabilities, Individual Needs
Hasibe Yahsi Sari; Hulya Kelecioglu – International Journal of Assessment Tools in Education, 2025
The aim of the study is to examine the effect of polytomous item ratio on ability estimation in different conditions in multistage tests (MST) using mixed tests. The study is simulation-based research. In the PISA 2018 application, the ability parameters of the individuals and the item pool were created by using the item parameters estimated from…
Descriptors: Test Items, Test Format, Accuracy, Test Length
María Vicent; Andrea Fuster; María Pérez-Marco; María del Pilar Aparicio-Flores – Journal of Psychoeducational Assessment, 2025
Although the original long version of the Hewitt Multidimensional Perfectionism Scale (HMPS) has been translated and validated in a Spanish population, no study to date has examined the psychometric properties of a short version of the HMPS with a Spanish-speaking sample. For this reason, the aim of this study is to analyze the psychometric…
Descriptors: Personality Measures, Personality Traits, Spanish, Psychometrics
Yi-Jui I. Chen; Yi-Jhen Wu; Yi-Hsin Chen; Robin Irey – Journal of Psychoeducational Assessment, 2025
A short form of the 60-item computer-based orthographic processing assessment (long-form COPA or COPA-LF) was developed. The COPA-LF consists of five skills, including rapid perception, access, differentiation, correction, and arrangement. Thirty items from the COPA-LF were selected for the short-form COPA (COPA-SF) based on cognitive diagnostic…
Descriptors: Computer Assisted Testing, Test Length, Test Validity, Orthographic Symbols
Fatih Orçan – International Journal of Assessment Tools in Education, 2025
Factor analysis is a statistical method to explore the relationships among observed variables and identify latent structures. It is crucial in scale development and validity analysis. Key factors affecting the accuracy of factor analysis results include the type of data, sample size, and the number of response categories. While some studies…
Descriptors: Factor Analysis, Factor Structure, Item Response Theory, Sample Size
Ying Xu; Xiaodong Li; Jin Chen – Language Testing, 2025
This article provides a detailed review of the Computer-based English Listening Speaking Test (CELST) used in Guangdong, China, as part of the National Matriculation English Test (NMET) to assess students' English proficiency. The CELST measures listening and speaking skills as outlined in the "English Curriculum for Senior Middle…
Descriptors: Computer Assisted Testing, English (Second Language), Language Tests, Listening Comprehension Tests