Modeling Student Persistence in Online Education: A Validation Study

Abstract: This study examined the factors related to student persistence in online education programs. Using a model of persistence, we conducted five confirmatory factor analytic models to evaluate scales that measured the factors of interest: locus of control, self-efficacy, task value, satisfaction, and persistence. We also conducted and compared two structural equation models to investigate the relationships among these factors, along with achievement. Results indicated that the critical factors related to students' persistence in online programs are locus of control, self-efficacy, and achievement. On the other hand, task value and satisfaction were not significant predictors of online program persistence. The similarities and dissimilarities between previous findings and the present study are discussed.

Authors

Publication Details

Journal
Journal of college student development
Published
2025-03-01
DOI
https://doi.org/10.1353/csd.2025.a962924
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Modeling Student Persistence in Online Education: A Validation Study

Alan Nong, Ahmed A. Alsayer, Stephen Foster
Journal of college student development
Online Learning and Analytics
article

Modeling Student Persistence in Online Education: A Validation Study

Alan Nong, Ahmed A. Alsayer, Stephen Foster
article en

Abstract

Abstract: This study examined the factors related to student persistence in online education programs. Using a model of persistence, we conducted five confirmatory factor analytic models to evaluate scales that measured the factors of interest: locus of control, self-efficacy, task value, satisfaction, and persistence. We also conducted and compared two structural equation models to investigate the relationships among these factors, along with achievement. Results indicated that the critical factors related to students' persistence in online programs are locus of control, self-efficacy, and achievement. On the other hand, task value and satisfaction were not significant predictors of online program persistence. The similarities and dissimilarities between previous findings and the present study are discussed.

Journal of college student developmentVol. 66(3)
Openalex Percentile: Top 86%
Online Learning and Analytics
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.