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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Auteurs principaux: | Eric Leonardo Huerta-Manzanilla, Matthew W. Ohland, Manuel Toledano-Ayala, Juan Carlos Jáuregui-Correa |
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Format: | article |
Langue: | EN |
Publié: |
Elsevier
2021
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Accès en ligne: | https://doaj.org/article/fd6887e6b6a243c281cd0cbb21a3ee95 |
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