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

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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Bibliographic Details
Main Authors: Eric Leonardo Huerta-Manzanilla, Matthew W. Ohland, Manuel Toledano-Ayala, Juan Carlos Jáuregui-Correa
Format: article
Language:EN
Published: Elsevier 2021
Subjects:
Student retention in college
Logistic regression in education
Receiver operating characteristics roc curves
Social network relations strength
Sensitivity and specificity
Computer applications to medicine. Medical informatics
R858-859.7
Science (General)
Q1-390
Online Access:https://doaj.org/article/fd6887e6b6a243c281cd0cbb21a3ee95
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https://doaj.org/article/fd6887e6b6a243c281cd0cbb21a3ee95

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