Cited by 121Online and Blended LearningOnline Learning and AnalyticsEducational Outcomes and Influences

A structural equation model of predictors of online learning retention

Lee, Youngju, Choi, Jaeho·2013·The Internet and Higher Education

Integrity signals

Registry

Crossref · 10.1016/j.iheduc.2012.01.005

Cites

47 of 47 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

1 of the 48 references couldn’t be matched to a known paper.

Cited by

Sorted by citations

Authors
Lee, Y., & Choi, J.
Affiliations
Korean Bible University (KR)
Corresponding author
Choi, Jaeho
Venue
The Internet and Higher Education
Publisher
Elsevier BV
Published
2013-01
Volume
16
Pages
36-42
ISSN
1096-7516 (ISSN-L)
OpenAlex
W2010312671
Cited by
121
References
48
Citations by year
2026: 4 · 2025: 6 · 2024: 9 · 2023: 8 · 2022: 23 · 2021: 14 · 2020: 12 · 2019: 7 · 2018: 14 · 2017: 6 · 2016: 6 · 2015: 6 · 2014: 3 · 2013: 3
FWCI
18.67
Type
journal article
Language
en
Open access
closed
Locations
The Internet and Higher Education (publishedVersion)
Topics
  • Social Sciences › Education › Online and Blended Learning
  • Physical Sciences › Computer Science › Computer Science Applications › Online Learning and Analytics
  • Social Sciences › Education › Educational Outcomes and Influences
Keywords
online learning, student retention, academic locus of control, learning strategies, flow experience, student satisfaction, adult learners, mediating effect, open university students

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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