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"Mastering IRT: Interactive Tool for Exploring 2PL, 3PL, and Rasch Models with Dynamic Visualizations"

This interactive Shiny app is ideal for educators, allowing you to explore and understand Item Response Theory (IRT) models, including 2PL, 3PL, and Rasch. Visualize Item Characteristic Curves (ICCs), item information functions, and key parameters to gain insights into how these models function and analyze educational data in real-time (in files, you ...
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Comparing the normalised and 2PL IRT scoring methods on multi-form examinations

International Journal of Quantitative Research in Education, 2021
Gregory Camilli
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Local influence analysis of the 2PL IRT model for binary responses

Journal of Statistical Computation and Simulation, 2021
C Caroni
exaly

Investigating Confidence Intervals of Item Parameters When Some Item Parameters Take Priors in the 2PL and 3PL Models

Educational and Psychological Measurement, 2023
Insu Paek
exaly

Ability Parameter Recovery in Virtual Learning Environment Item Response Data With the Sequential Two-Parameter Logistic Item Response Theory (2PL-IRT) Model

Proceedings of the 2021 AERA Annual Meeting, 2021
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Supplementary Material: Comparing Robust Linking and Regularized Estimation for Linking Two Groups in the 1PL and the 2PL Model in the Presence of Sparse Uniform Differential Item Functioning

2022
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The Effect of Asymmetry of Item Characteristic Curves on Item Information Function Estimation: A Comparison of RH, 2PL, and 3PL IRT Models through Simulation Study

Korean Society for Educational Evaluation, 2019
Sora Lee, Sun-Geun Baek
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