Cited by 53Psychometric Methodologies and TestingEducational Assessment and PedagogyInnovations in Medical Education

Analysis of Multiple Choice Questions: Item Difficulty, Discrimination Index and Distractor Efficiency

D'Sa, Juliana Linnette, Visbal-Dionaldo, Maria Liza·2017·International Journal of Nursing Education

Integrity signals

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Crossref · 10.5958/0974-9357.2017.00079.4

Cites

Statistics

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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?

  • Such findings were reported in anatomy exam [48], community Medicine [49], and multidisciplinary summative exams [50, 51] that were constructed traditionally.

    “Such findings were reported in anatomy exam [48], community Medicine [49], and multidisciplinary summative exams [50, 51] that were constructed traditionally.”

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Authors
D'Sa, J. L., & Visbal-Dionaldo, M. L.
Venue
International Journal of Nursing Education
Published
2017
Volume
9
Issue
3
Pages
109
ISSN
  • 0974-9349 (ISSN-L)
  • 0974-9357
OpenAlex
W2753486495
Cited by
53
References
0
Citations by year
2026: 5 · 2025: 2 · 2024: 11 · 2023: 9 · 2022: 8 · 2021: 8 · 2020: 5 · 2019: 3 · 2018: 2
FWCI
2.42
Type
journal article
Language
en
Open access
closed
Locations
International Journal of Nursing Education (publishedVersion)
Topics
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
  • Social Sciences › Education › Educational Assessment and Pedagogy
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Innovations in Medical Education
Keywords
multiple-choice questions, item difficulty, item discrimination index, distractor efficiency, item analysis, nursing education evaluation

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.

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