The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Assessing Reliability and Precision of Measurement: An Introduction to Intraclass Correlation and Standard Error of Measurement
Abstract
The reliability and precision of measurement in sports medicine are of concern in both research and clinical practice. The validity of conclusions drawn from a research project and the rationale for decisions made about the care of an injured athlete are directly related to the precision of measurement. Through analysis of variance, estimates of reliability and precision of measurement can be quantified. The purpose of this manuscript is to introduce the concepts of intraclass correlation as an estimate of reliability and standard error of measurement as an estimate of precision. The need for a standardized set of formulas for intraclass correlation is demonstrated, and it is urged that the standard error of measurement be included when estimates of reliability are reported. In addition, three examples are provided to illustrate important concepts and familiarize the reader with the process of calculating these estimates of reliability and precision of measurement.
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.
Integrity signals
Registry
Cites
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.
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
Intraclass correlations: Uses in assessing rater reliability.
Shrout, P. E., & Fleiss, J. L. (1979) · Psychological Bulletin · doi:10.1037/0033-2909.86.2.420 · Cited by 24,532
Cited by
Psychometric properties of the Fatigue Severity Scale and the Modified Fatigue Impact Scale
Learmonth, Y. C., Dlugonski, D., Pilutti, L. A., Sandroff, B. M., Klaren, R., & Motl, R. W. (2013) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2013.05.023 · Cited by 349
Weintraub, S., Dikmen, S. S., Heaton, R. K., Tulsky, D. S., Zelazo, P. D., Slotkin, J., Carlozzi, N. E., Bauer, P. J., Wallner-Allen, K., Fox, N., et al. (2014) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617714000320 · Cited by 342
Juul-Kristensen, B., Rogind, H., Jensen, D. V., & Remvig, L. (2007) · Rheumatology · doi:10.1093/rheumatology/kem290 · Cited by 299
Gajdosik, R. L., Albert, C. R., & Mitman, J. J. (1994) · Journal of Orthopaedic & Sports Physical Therapy · doi:10.2519/jospt.1994.20.4.213 · Cited by 168
NIH Toolbox Cognitive Battery (NIHTB-CB): The NIHTB Pattern Comparison Processing Speed Test
Carlozzi, N. E., Tulsky, D. S., Chiaravalloti, N. D., Beaumont, J. L., Weintraub, S., Conway, K., & Gershon, R. C. (2014) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617714000319 · Cited by 107
Pinnington, H. C., Wong, P., Tay, J., Green, D., & Dawson, B. (2001) · Journal of Science and Medicine in Sport · doi:10.1016/s1440-2440(01)80041-4 · Cited by 77
An electromyographic evaluation of subdividing active-assistive shoulder elevation exercises
Gaunt, B. W., McCluskey, G. M., & Uhl, T. L. (2010) · Sports Health: A Multidisciplinary Approach · doi:10.1177/1941738110366840 · Cited by 31
Learmonth, Y. C., Hubbard, E. A., McAuley, E., & Motl, R. W. (2014) · Quality of Life Research · doi:10.1007/s11136-014-0639-2 · Cited by 28
Metadata
- Authors
- Denegar, C. R., & Ball, D. W.
- Venue
- Journal of Sport Rehabilitation
- Publisher
- Human Kinetics
- Published
- 1993-02
- Volume
- 2
- Issue
- 1
- Pages
- 35-42
- ISSN
- 1056-6716 (ISSN-L)
- 1543-3072
- OpenAlex
- W2237649353
- Cited by
- 307
- References
- 1
- FWCI
- 6.08
- 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
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.
