The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Likert scales: how to (ab)use them
Overview
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In the citing paper
“Median opinions scores were explored, based on Jamieson (2004), resulting in tighter groupings, however there was no significant change in averaged scores nor improvement in session reliability.”
From A time-scale modification dataset with subjective quality labels (2020) · cites this paper as Jamieson (2004)
Self-check
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Citations
Cites
Treating Ordinal Scales as Interval Scales: An Attempt To Resolve the Controversy
KNAPP, T. R. (1990) · Nursing Research · doi:10.1097/00006199-199003000-00019 · Cited by 271
Research works printed but not linked: 9
- 10.4324/9780203224342 · DOI · Paper page
- Pett MA, 1997, Non‐parametric Statistics for Health Care Research.
- Blaikie N, 2003, Analysing Quantitative Data., 10.4135/9781849208604 · DOI
- 10.1111/j.1945-1474.2003.tb01070.x · DOI
- Clegg F, 1998, Simple Statistics.
- 10.1046/j.1365-2923.2003.01532.x · DOI
- 10.1111/j.1365-2923.2004.01735.x · DOI
- 10.1097/00000637-199609000-00006 · DOI
- 10.1111/j.1365-2923.2004.01743.x · DOI
Cited by
Likert scales, levels of measurement, and the “laws” of statistics
Norman, G. (2010) · Advances in Health Sciences Education · doi:10.1007/s10459-010-9222-y · Cited by 4,850
Analyzing and Interpreting Data From Likert-Type Scales
Sullivan, G. M., & Artino, A. R. (2013) · Journal of Graduate Medical Education · doi:10.4300/jgme-5-4-18 · Cited by 3,044
Improving the content validity of the mixed methods appraisal tool: a modified e-Delphi study
Hong, Q. N., Pluye, P., Fàbregues, S., Bartlett, G., Boardman, F., Cargo, M., Dagenais, P., Gagnon, M.-P., Griffiths, F., Nicolau, B., et al. (2019) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2019.03.008 · Cited by 1,082
“Likert scales may have some limitations related to central tendency and desirability biases [50].”
BackgroundInductive/deductive hybrid thematic analysis in mixed methods research
Proudfoot, K. (2023) · Journal of Mixed Methods Research · doi:10.1177/15586898221126816 · Cited by 934
Analyzing ordinal data with metric models: What could possibly go wrong?
Liddell, T. M., & Kruschke, J. K. (2018) · Journal of Experimental Social Psychology · doi:10.1016/j.jesp.2018.08.009 · Cited by 805
Metadata
- Authors
- Jamieson, S.
- Venue
- Medical Education
- Publisher
- Wiley
- Published
- 2004-11-25
- Volume
- 38
- Issue
- 12
- Pages
- 1217-1218
- ISSN
- 0308-0110
- 1365-2923
- Cited by
- 1,602
- References
- 1
- Language
- en
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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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
