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. Preprints2020, 2020100243. https://doi.org/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. https://doi.org/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. Preprints2020, 2020100243. https://doi.org/10.20944/preprints202010.0243.v1
APA Style
Ratnaningsih, D.J., Saefuddin, A., Kurnia, A., & Mangku, I.W. (2020). The Terminology of Survival Modeling: An Insight and Alternative Modeling of Student Retention. Preprints. https://doi.org/10.20944/preprints202010.0243.v1
Chicago/Turabian Style
Ratnaningsih, D.J., Anang Kurnia and I Wayan Mangku. 2020 "The Terminology of Survival Modeling: An Insight and Alternative Modeling of Student Retention" Preprints. https://doi.org/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.
Keywords
distance education; open and distance education; student retention; survival analysis
Subject
Business, Economics and Management, Accounting and Taxation
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
