The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Using confidence intervals in within-subject designs
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Citations
Cites
Fisher, R. A. (1936) · BMJ · doi:10.1136/bmj.1.3923.554-a · Cited by 4,980
Things I have learned (so far).
Cohen, J. (1990) · American Psychologist · doi:10.1037/0003-066x.45.12.1304 · Cited by 1,781
MANOVA method for analyzing repeated measures designs: An extensive primer.
O'Brien, R. G., & Kaiser, M. K. (1985) · Psychological Bulletin · doi:10.1037/0033-2909.97.2.316 · Cited by 1,148
Huynh, H., & Feldt, L. S. (1970) · Journal of the American Statistical Association · doi:10.2307/2284340 · Cited by 945
Cited by
Lakens, D. (2013) · Frontiers in Psychology · doi:10.3389/fpsyg.2013.00863 · Cited by 10,303
Inference by Eye: Confidence Intervals and How to Read Pictures of Data.
Cumming, G., & Finch, S. (2005) · American Psychologist · doi:10.1037/0003-066x.60.2.170 · Cited by 1,449
A Distributed Representation of Temporal Context
Howard, M. W., & Kahana, M. J. (2002) · Journal of Mathematical Psychology · doi:10.1006/jmps.2001.1388 · Cited by 1,174
Null hypothesis significance testing: a review of an old and continuing controversy
Nickerson, R. S. (2000) · Psychological Methods · doi:10.1037/1082-989x.5.2.241 · Cited by 1,090
Urry, H. L., van Reekum, C. M., Johnstone, T., Kalin, N. H., Thurow, M. E., Schaefer, H. S., Jackson, C. A., Frye, C. J., Greischar, L. L., Alexander, A. L., et al. (2006) · The Journal of Neuroscience · doi:10.1523/jneurosci.3215-05.2006 · Cited by 1,056
Metadata
- Authors
- Loftus, G. R., & Masson, M. E. J.
- Venue
- Psychonomic Bulletin & Review
- Published
- 1994-12
- Volume
- 1
- Issue
- 4
- Pages
- 476-490
- ISSN
- 1069-9384 (ISSN-L)
- 1531-5320
- OpenAlex
- W2024686567
- Cited by
- 2,448
- References
- 4
- FWCI
- 22.84
- Type
- journal article
- Language
- en
- Open access
- bronze
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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.
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- CoChat. (2026). Citation check: Using confidence intervals in within-subject designs. https://app.cochat.ai/papers/10.3758/bf03210951
- The paper
- Loftus, G. R., & Masson, M. E. J. (1994). Using confidence intervals in within-subject designs. Psychonomic Bulletin & Review. https://doi.org/10.3758/bf03210951
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.
