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A General Framework for Modeling Missing Data Due to Item Selection With Item Response Theory
Published 2024-09-01“…This paper describes the implications of this distinction for Item Response Theory (IRT) estimation, drawing upon missing-data theory (e.g., Mislevy & Sheehan, 1989, https://doi.org/10.1007/BF02296402; Rubin, 1976, https://doi.org/10.1093/biomet/63.3.581), and selection theory (Meredith, 1993, https://doi.org/10.1007/BF02294825). …”
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9463
Study of Dynamical Behavior of a Prey-Predator Model when the Prey Population Affected by Multifactor
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9464
STEM-based mathematics learning module with PBL model in improving higher-order thinking skills
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9465
Simulation of Li-pellet triggered ELMs in EAST with an impurity model implemented under BOUT++ framework
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9466
Exogenous acetate mitigates later enhanced allergic airway inflammation in a menopausal mouse model
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9467
YOLO-SRMX: A Lightweight Model for Real-Time Object Detection on Unmanned Aerial Vehicles
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9468
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9469
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9470
PENINGKATAN HASIL BELAJAR MODEL TGT BERBANTUAN MEDIA ULAR TANGGA DI SEKOLAH DASAR
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9471
Driving risk assessment under the connected vehicle environment: a CNN-LSTM modeling approach
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9472
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9473
Peningkatan hasil belajar marketing melalui model pembelajaran PjBL berbasis media digital
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9475
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9476
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9477
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9478
Active Noise Control Using a Fuzzy Inference System Without Secondary Path Modelling
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9479
Modeling Biomass Saline Hydrolysis with Aspen Plus: a Study on Agro-industrial Waste Valorization
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9480
Black hole shadow: Experimental test of different models and shadow of dynamical Hayward black hole
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