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Sandip Sinharay; Randy E. Bennett; Michael Kane; Jesse R. Sparks – Journal of Educational Measurement, 2025
Personalized assessments are of increasing interest because of their potential to lead to more equitable decisions about the examinees. However, one obstacle to the widespread use of personalized assessments is the lack of a measurement toolkit that can be used to analyze data from these assessments. This article takes one step toward building…
Descriptors: Test Validity, Data Analysis, Advanced Placement Programs, Art
Philipp Sterner; Kim De Roover; David Goretzko – Structural Equation Modeling: A Multidisciplinary Journal, 2025
When comparing relations and means of latent variables, it is important to establish measurement invariance (MI). Most methods to assess MI are based on confirmatory factor analysis (CFA). Recently, new methods have been developed based on exploratory factor analysis (EFA); most notably, as extensions of multi-group EFA, researchers introduced…
Descriptors: Error of Measurement, Measurement Techniques, Factor Analysis, Structural Equation Models
Benjawan Plengkham; Sonthaya Rattanasak; Patsawut Sukserm – Journal of Education and Learning, 2025
This academic article provides the essential steps for designing an effective English questionnaire in social science research, with a focus on ensuring clarity, cultural sensitivity and ethical integrity. Developed from key insights from related studies, it outlines potential practice in questionnaire design, item development and the importance…
Descriptors: Guidelines, Test Construction, Questionnaires, Surveys
Anne Wicks; Robin Berkley – George W. Bush Institute, 2025
Assessments are one of the most important--and often misunderstood--elements of education. In most cases, tests are administered by the state as well as by districts and schools. Assessments at each of these levels have distinct purposes, yield different information, and are part of a powerful, coordinated approach to improving student outcomes.…
Descriptors: Student Evaluation, Testing, Tests, Standardized Tests
Andrew P. Jaciw – American Journal of Evaluation, 2025
By design, randomized experiments (XPs) rule out bias from confounded selection of participants into conditions. Quasi-experiments (QEs) are often considered second-best because they do not share this benefit. However, when results from XPs are used to generalize causal impacts, the benefit from unconfounded selection into conditions may be offset…
Descriptors: Elementary School Students, Elementary School Teachers, Generalization, Test Bias
Devender R. Banda; Stephanie L. Hart – Education and Training in Autism and Developmental Disabilities, 2025
The BCBA Task List (5th and 6th Edition) requires behavior analysts are familiar with multiple assessment methods, including tools to assess the function of problem behaviors and assess skill strengths and deficits. Although several studies exist on the assessment of functions using indirect functional assessments, descriptive functional…
Descriptors: Applied Behavior Analysis, Behavior Problems, Capital (Sociology), Student Characteristics
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