Using machine-learning strategies to solve psychometric problems

Abstract Validating scales for clinical use is a common procedure in medicine and psychology. Through the application of computational methods, we present a new strategy for estimating construct validity and criterion validity. XGBoost, Random Forest and Support-Vector machine learning algorithms we...

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Bibliographic Details
Main Authors: Arthur Trognon, Youssouf Ismail Cherifi, Islem Habibi, Loïs Demange, Cécile Prudent
Format: Article
Language:English
Published: Nature Portfolio 2022-11-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-022-23678-9