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Shun-Fu Hu; Amery D. Wu; Jake Stone – Journal of Educational Measurement, 2025
Scoring high-dimensional assessments (e.g., > 15 traits) can be a challenging task. This paper introduces the multilabel neural network (MNN) as a scoring method for high-dimensional assessments. Additionally, it demonstrates how MNN can score the same test responses to maximize different performance metrics, such as accuracy, recall, or…
Descriptors: Tests, Testing, Scores, Test Construction
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Akaeze, Hope O.; Wu, Jamie Heng-Chieh; Lawrence, Frank R.; Weber, Everett P. – Journal of Psychoeducational Assessment, 2023
This paper reports an investigation into the psychometric properties of the COR-Advantage1.5 (COR-Adv1.5) assessment tool, a criterion-referenced observation-based instrument designed to assess the developmental abilities of children from birth through kindergarten. Using data from 8534 children participating in a state-funded preschool program…
Descriptors: Criterion Referenced Tests, Evaluation Methods, Measures (Individuals), Measurement Techniques
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Lowe, Patricia A. – Higher Education Studies, 2019
A cross-national comparison was conducted between U.K. and U.S. higher education students on the Test Anxiety Measure for College Students (TAM-C). The TAM-C was administer to 1,776 U.K. and U.S. higher education students online. The results of tests of measurement invariance found the TAM-C invariant across country and gender. In addition,…
Descriptors: Cross Cultural Studies, Comparative Education, Foreign Countries, Higher Education
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Lee, Minji K.; Sweeney, Kevin; Melican, Gerald J. – Educational Assessment, 2017
This study investigates the relationships among factor correlations, inter-item correlations, and the reliability estimates of subscores, providing a guideline with respect to psychometric properties of useful subscores. In addition, it compares subscore estimation methods with respect to reliability and distinctness. The subscore estimation…
Descriptors: Scores, Test Construction, Test Reliability, Test Validity
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Lowe, Patricia A. – Journal of Psychoeducational Assessment, 2018
The psychometric properties of a new, multidimensional measure of test anxiety, the Test Anxiety Measure for College Students (TAM-C), were examined in a sample of 720 undergraduate students. Results of confirmatory factor analyses provided support for a six-factor (Cognitive Interference, Physiological Hyperarousal, Social Concerns,…
Descriptors: Psychometrics, Test Anxiety, College Students, Measures (Individuals)
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Costa, Sebastiano; Ingoglia, Sonia; Inguglia, Cristiano; Liga, Francesca; Lo Coco, Alida; Larcan, Rosalba – Measurement and Evaluation in Counseling and Development, 2018
The purpose of this multistudy report was to adapt the Basic Psychological Need Satisfaction and Frustration Scale (BPNSFS) to the Italian context. Two studies were conducted. In Study 1, we investigated the dimensionality, reliability, and convergent and discriminant validity of the instrument in a sample of 544 participants (males = 41%) from 16…
Descriptors: Psychological Needs, Psychometrics, Need Gratification, Gender Differences
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Ho, Sammy K.; Chan, Edmund S. – Cogent Education, 2017
This study aims to investigate the psychometric properties of the revised multidimensional scale of perceived social support (R-MSPSS) for Chinese school teachers. A questionnaire comprising the R-MSPSS and other psychological measures was administered to a sample of 539 school teachers in Hong Kong. A series of confirmatory factor analysis was…
Descriptors: Multidimensional Scaling, Social Support Groups, Program Validation, Psychometrics
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Christensen, Rhonda; Knezek, Gerald – Journal of Digital Learning in Teacher Education, 2017
Accurately measuring levels of technology proficiency in current and future classroom teachers are an important first step toward enhancing comfort level and confidence in integrating technology into the educational environment. The original Technology Proficiency Self-Assessment (TPSA) survey has maintained respectable psychometric properties for…
Descriptors: Questionnaires, Program Validation, Technological Literacy, Self Evaluation (Individuals)