Preprint Review Version 1 Preserved in Portico This version is not peer-reviewed

The Terminology of Survival Modeling: An Insight and Alternative Modeling of Student Retention

Version 1 : Received: 11 October 2020 / Approved: 12 October 2020 / Online: 12 October 2020 (13:22:55 CEST)

How to cite: Ratnaningsih, D.J.; Saefuddin, A.; Kurnia, A.; Mangku, I.W. The Terminology of Survival Modeling: An Insight and Alternative Modeling of Student Retention. Preprints 2020, 2020100243 (doi: 10.20944/preprints202010.0243.v1). Ratnaningsih, D.J.; Saefuddin, A.; Kurnia, A.; Mangku, I.W. The Terminology of Survival Modeling: An Insight and Alternative Modeling of Student Retention. Preprints 2020, 2020100243 (doi: 10.20944/preprints202010.0243.v1).

Abstract

Student retention is one indicator of accountability in the implementation of educational programs. Achievement of student retention rates indicates the performance of the quality objectives of an institution or college. To get an accurate picture of the factors related to retention, we need to do modeling. The retention variable is the time response variable measured in semester units. One of the statistical analyzes that can be used to analyze response data in time is survival analysis. The selection of an accurate analytical method in modeling will produce valid conclusions and impact making policies that are right and on target. This paper presents alternative modeling of student retention in distance education using survival analysis. The method used is a literature review. This paper also briefly describes distance education, open and distance education, distance education students' characteristics, distance education student retention, and survival models for modeling student retention in distance education.

Subject Areas

distance education; open and distance education; student retention; survival analysis

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our diversity statement.

Leave a public comment
Send a private comment to the author(s)
Views 0
Downloads 0
Comments 0
Metrics 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.