Modeling Retention and Graduation Patterns: Forecasting Cohort Survival Rates Among Iskolar ng Bayan Scholars

This study aimed to model the retention and graduation patterns of Iskolar ng Bayan scholars by forecasting cohort survival rates using time series analysis. Drawing on data from 1986 to 2025, the study examined the historical and projected trends in second-year and third-year retention, as well as on-time graduation rates, to uncover critical patterns influencing student progression and completion. Employing ARIMA and exponential smoothing models within SPSS, the analysis revealed consistently high retention rates in both the second and third years, with a notable gradual increase over time. However, the findings indicated a temporary decline in on-time graduation rates during the early 2000s, followed by a modest recovery in recent years. Model fit statistics, including high R-squared values and low forecasting errors (MAPE and RMSE), validated the robustness of the models used. These results underscore the need for policy reinforcement and targeted academic interventions to bridge the gap between strong student retention and timely graduation. The study contributes valuable insights for higher education institutions and policymakers in enhancing student success and optimizing scholarship programs.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-09
DOI
https://doi.org/10.5281/zenodo.17184428
Primary Topic
Plant responses to elevated CO2
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Modeling Retention and Graduation Patterns: Forecasting Cohort Survival Rates Among Iskolar ng Bayan Scholars

Zenodo (CERN European Organization for Nuclear Research)
Plant responses to elevated CO2
article

Modeling Retention and Graduation Patterns: Forecasting Cohort Survival Rates Among Iskolar ng Bayan Scholars

article en

Abstract

This study aimed to model the retention and graduation patterns of Iskolar ng Bayan scholars by forecasting cohort survival rates using time series analysis. Drawing on data from 1986 to 2025, the study examined the historical and projected trends in second-year and third-year retention, as well as on-time graduation rates, to uncover critical patterns influencing student progression and completion. Employing ARIMA and exponential smoothing models within SPSS, the analysis revealed consistently high retention rates in both the second and third years, with a notable gradual increase over time. However, the findings indicated a temporary decline in on-time graduation rates during the early 2000s, followed by a modest recovery in recent years. Model fit statistics, including high R-squared values and low forecasting errors (MAPE and RMSE), validated the robustness of the models used. These results underscore the need for policy reinforcement and targeted academic interventions to bridge the gap between strong student retention and timely graduation. The study contributes valuable insights for higher education institutions and policymakers in enhancing student success and optimizing scholarship programs.

Zenodo (CERN European Organization for Nuclear Research)
University of Southeastern Philippines (PH)
Openalex Percentile: Top 34%
Plant responses to elevated CO2
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Modeling Retention and Graduation Patterns: Forecasting Cohort Survival Rates Among Iskolar ng Bayan Scholars · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS