Information Theory, Machine Learning, and Bayesian Networks in the Analysis of Dichotomous and Likert Responses for Questionnaire Psychometric Validation
Matteo Orsoni,
Mariagrazia Benassi,
Marco Scutari
Abstract:The validation of questionnaires, crucial for discriminating between di-verse populations, is a standard practice in psychology and medicine. Whilelatent factor models have conventionally dominated psychometric question-naire validation, recent developments have introduced alternative method-ologies such as Network Analysis. This study presents a pioneering approachthat integrates information theory, machine learning (ML), and Bayesian net-works (BNs) into questionnaire validation. This novel perspective shift… Show more
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