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Reliability of Goniometric Measurements

Boone, Donna C., Azen, Stanley P., Lin, Chun-Mei, Spence, Carol, Baron, Carol, Lee, Lynn·1978·Physical Therapy

Abstract

This study determined the intratester and intertester variability and reliability of goniometric measurements taken by four physical therapists on upper and lower extremity motions of normal male subjects. The same subjects were measured once weekly for four weeks by testers with varied experience in goniometry. Data were analyzed by analyses of variance with repeated measures. Intratester variation for all measurements was less than intertester variation. Further, intertester variation was less for the three upper extremity motions than for those of the lower extremity. These findings indicate the necessity for using the same tester when effects of treatment are evaluated. When the same tester measures the same movement, increases in joint motion of at least three to four degrees determine improvement for either the upper or lower extremity. When more than one tester, however, measures the same movement, increases in joint motion should exceed five degrees for the upper extremity and six degrees for the lower extremity to determine improvement.

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Metadata

Authors
Boone, D. C., Azen, S. P., Lin, C.-M., Spence, C., Baron, C., & Lee, L.
Venue
Physical Therapy
Published
1978-11-01
Volume
58
Issue
11
Pages
1355-1360
ISSN
  • 0031-9023 (ISSN-L)
  • 1538-6724
OpenAlex
W2287737113
Cited by
560
References
0
FWCI
2.25
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Reliability of Goniometric Measurements. https://app.cochat.ai/papers/10.1093/ptj/58.11.1355
The paper
Boone, D. C., Azen, S. P., Lin, C.-M., Spence, C., Baron, C., & Lee, L. (1978). Reliability of Goniometric Measurements. Physical Therapy. https://doi.org/10.1093/ptj/58.11.1355

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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.