Cited by 37Healthcare Education and Workforce IssuesNursing education and managementMedical Education and Admissions

Strategies to improve NCLEX-RN success: a review

Quinn, Brenna L., Smolinski, Megan, Peters, Anya Bostain·2018·Teaching and learning in nursing

Integrity signals

Registry

Crossref · 10.1016/j.teln.2017.09.002

Cites

33 of 33 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.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Quinn, B. L., Smolinski, M., & Peters, A. B.
Affiliations
University of Massachusetts Lowell (US)
Corresponding author
Quinn, Brenna L.
Venue
Teaching and learning in nursing
Publisher
Elsevier BV
Published
2018-01
Volume
13
Issue
1
Pages
18-26
ISSN
  • 1557-2013 (ISSN-L)
  • 1557-3087
OpenAlex
W2758770328
Cited by
37
References
33
Citations by year
2026: 2 · 2025: 4 · 2024: 7 · 2023: 8 · 2022: 2 · 2021: 3 · 2020: 4 · 2019: 4 · 2018: 2 · 2017: 1
FWCI
9.67
Type
journal article
Language
en
Open access
closed
Locations
Teaching and learning in nursing (publishedVersion)
Topics
  • Health Sciences › Nursing › Leadership and Management › Healthcare Education and Workforce Issues
  • Health Sciences › Nursing › Research and Theory › Nursing education and management
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Medical Education and Admissions
Keywords
NCLEX-RN, nursing licensure examination, prelicensure nursing students, nursing schools, nursing faculty, test-taking skills, critical thinking, psychosocial well-being, nursing education strategies

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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