Logit models, the area under receiver characteristic curves, sensitivity, and specificity for Co-enrollment density in college networks dataset.

This article describes the data related to co-enrollment density (CD), a new network clustering index, that can predict persistence and graduation. The data hold the raw results and charts obtained with the algorithm for CD introduced in ``Co-Enrollment Density Predicts Engineering Students' Pe...

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Autores principales: Eric Leonardo Huerta-Manzanilla, Matthew W. Ohland, Manuel Toledano-Ayala, Juan Carlos Jáuregui-Correa
Formato: article
Lenguaje:EN
Publicado: Elsevier 2021
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Acceso en línea:https://doaj.org/article/fd6887e6b6a243c281cd0cbb21a3ee95
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