PCA on binary variables. An application to at-risk students in higher education

Pérez Francisco Rabadán, Nicolas Habib Chamoun and María Victoria Ramírez-Muñoz ()
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Pérez Francisco Rabadán: URJC - Universidad Rey Juan Carlos = Rey Juan Carlos University
Nicolas Habib Chamoun: Washington University at St Louis
María Victoria Ramírez-Muñoz: UA - Université d'Angers, EGEI - Éthique et Gouvernance de l’Entreprise et des Institutions - UCO - Université Catholique de l'Ouest

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Abstract: PCA is commonly applied to continuous or Likert scale variables in social sciences. PCA on binary variables is common in the field of biology, and we have conducted a study in education where we have adapted this methodology. We believe that this topic is relevant to Big Data because of this peculiarity

Keywords: Principle Component Analysis PCA; Higher education; At risk students (search for similar items in EconPapers)
Date: 2024-05-30
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Published in Programa del I Congreso Internacional de Big Data y Matemáticas: VI Jornadas, Facultad de Ciencias de la Economía y de la Empresa URJC, May 2024, Madrid, España

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04590771

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