Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 699

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Sample size requirements for reliability studies

Donner, Allan, Eliasziw, Michael·1987·Statistics in Medicine

Abstract

This paper provides exact power contours to guide the planning of reliability studies, where the parameter of interest is the coefficient of intraclass correlation p derived from a one‐way analysis of variance model. The contours display the required numbers of subjects k and number of repeated measurements n that provide 80 per cent power for testing Ho:ρ ⩽ ρ o versus H 1: ρ > ρ o at the 5 per cent level of significance for selected values of po. We discuss the design considerations of these results.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1002/sim.4780060404

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 2 references

Cited by

See all 699

Metadata

Authors
Donner, A., & Eliasziw, M.
Venue
Statistics in Medicine
Publisher
Wiley
Published
1987-06
Volume
6
Issue
4
Pages
441-448
ISSN
  • 0277-6715 (ISSN-L)
  • 1097-0258
OpenAlex
W2129462449
Cited by
699
References
2
FWCI
4.23
Type
journal article
Language
en
Open access
closed

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 ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Sample size requirements for reliability studies. https://app.cochat.ai/papers/10.1002/sim.4780060404
The paper
Donner, A., & Eliasziw, M. (1987). Sample size requirements for reliability studies. Statistics in Medicine. https://doi.org/10.1002/sim.4780060404

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.