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Intra-rater reliability

About: Intra-rater reliability is a research topic. Over the lifetime, 2073 publications have been published within this topic receiving 140968 citations.


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Journal ArticleDOI
TL;DR: In this article , the median nerve cross sectional area (CSA) measured at the carpal tunnel inlet consistently demonstrated good to excellent interrater reliability (ICC=0.83-0.93) and good intra-terter reliability (r>0.81).

10 citations

BookDOI
27 Jan 2015

10 citations

Proceedings Article
15 Sep 2011
TL;DR: In this paper, two new classification methods regarding the significance of a block with respect to the reliability of a circuit are presented, one gives the criticality of each block for the circuit reliability and the other indicates which priority should be given to each block in a process of adding redundancy.
Abstract: Due to the expected increase of defects and errors in circuits based on deep submicron technologies, reliability has become an important design criterion. As reliability improvement is generally achieved by adding redundancy, identify and classify critical blocks of a circuit is a major concern. This work presents two new classification methods regarding the significance of a block with respect to the reliability of a circuit. One gives the criticality of each block for the circuit reliability and the other indicates which priority should be given to each block in a process of adding redundancy. Thus, the proposed methods provide key information for the designer who is looking for efficient solutions of reliability monitoring or reliability improvement.

10 citations

Journal ArticleDOI
15 Feb 2018-Spine
TL;DR: There is excellent interrater and intrarater reliability for radiographic measurements of spine and thoracic height in the EOS population at this institution.
Abstract: Study design Reproducibility of measurements. Objective This study investigates the reliability and standard error of measurement of spine and thoracic height radiographic measurements in patients with early onset scoliosis (EOS). Summary of background data Spine and thoracic height radiographic measurements are often used as a surrogate for pulmonary development in patients with EOS. There is limited literature validating the reliability of spine and thoracic height measurements in the EOS population. Methods Using pilot data, we determined measuring 49 unique radiographs would provide 80% power to obtain a 95% confidence interval (CI) width of 0.05 for the interclass correlation coefficients (ICCs). A random sampling strategy, stratified by underlying diagnosis from the Classification of Early Onset Scoliosis (C-EOS), was used to distribute the diagnoses in the study sample. Two attending pediatric spine surgeons, two pediatric orthopedic fellows, and two research assistants measured coronal spine (T1-S1) and thoracic (T1-T12) height on digital radiographs using imaging software (Surgimap; Nemaris, Inc, New York) on two separate occasions at least 3 weeks apart. Order of images was randomized for the second iteration. Linear mixed model regression analyses were used to estimate interrater and intrarater reliability. Results The study sample included subjects (N = 48) with idiopathic (N = 17, 35%), congenital (N = 16, 33%, 1 patient excluded), neuromuscular (N = 11, 23%), and syndromic (N = 4, 8%) scoliosis. Overall interrater reliability estimates for spine height (ICC: 0.894, 95% CI: 0.847-0.932) and thoracic height (ICC: 0.890, 95% CI: 0.844-0.929) were excellent. Intrarater reliability estimates for spine height (ICC: 0.906, 95% CI: 0.830-0.943) and thoracic height (ICC: 0.898, 95% CI: 0.817-0.938) were also excellent. Conclusion There is excellent interrater and intrarater reliability for radiographic measurements of spine and thoracic height in the EOS population at our institution. Level of evidence 2.

10 citations

Journal Article
TL;DR: The multiple single-leg hop-stabilisation test demonstrated strong intra-tester reliability with active participants, and may be a useful measure for evaluating the dynamic attributes of balance.
Abstract: Balance is a complex construct, affected by multiple components such as strength and coordination. However, while assessing an athlete's dynamic balance is an important part of clinical examination there is no gold standard measure. The multiple single-leg hop-stabilization test (MSLHST) is a functional test which may offer a method of evaluating the dynamic attributes of balance, but it needs to show adequate intra-tester reliability. The purpose of this study was to assess the intra-rater reliability of a dynamic balance test, the multiple single-leg hop-stabilization test (MSLHST) on the dominant and non-dominant legs. Fifteen active participants were tested twice with a 10-minute break between tests. The outcome measure was the multiple single-leg hop-stabilization test score, based on a clinically assessed numerical scoring system. Results were analyzed using an Intra-class Correlations Coefficient (ICC 2,1) and Bland-Altman plots. Regression analyses explored relationships between test scores, leg dominance, age and training (an alpha level of p = 0.05 was selected). ICCs for intra-rater reliability were 0.85 for the dominant and non-dominant legs (confidence intervals = 0.62-0.95 and 0.61-0.95 respectively). Bland-Altman plots showed scores within two standard deviations. A significant correlation was observed between the dominant and non-dominant leg on balance scores (R²=0.49, p<0.05), and better balance was associated with younger participants in their non-dominant leg (R²=0.28, p<0.05) and their dominant leg (R²=0.39, p<0.05) and a higher number of hours spent training for the non-dominant leg R²=0.37, p<0.05). The authors concluded that the multiple single-leg hop-stabilization test demonstrated strong intra-tester reliability with active participants. Younger participants who trained more, have better balance scores. This test may be a useful measure for evaluating the dynamic attributes of balance.

10 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202342
202278
202186
202083
201986
201867