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Item Difficulty Prediction using Item Text Features: Comparison of Predictive Performance across Machine-Learning Algorithms
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Description: This repository contains input data, R scripts, results of analyses, and figures for the "Item Difficulty Prediction Using Item Text Features: Comparison of Predictive Performance across Machine-Learning Algorithms" paper in Mathematics by Lubomír Štěpánek, Jana Dlouhá, and Patrícia Martinková (Mathematics 2023, 11, 4104. https://doi.org/10.3390/math11194104). Funding: The study was supported by the Czech Science Foundation Grant Number 21-03658S, by the institutional support RVO 67985807, and by the Charles University programme Progres Q15 "Life course, lifestyle and quality of life from the perspective of individual adaptation and the relationship of the actors and institutions".
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