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The primary aim of this study was to obtain subject matter expert consensus on which measurement and feasibility properties should be considered for performance tests used in the exercise and sport sciences, as well as how these should be defined.
The aim of the current study was to obtain subject matter expert consensus on which measurement and feasibility properties should be considered for exercise and sport science performance tests.
This study primarily aimed to obtain subject matter expert consensus on which measurement and feasibility properties should be considered for performance tests used in the exercise and sport sciences, along with their terminology and definitions.
The aim of this study was to obtain subject matter expert consensus on the measurement and feasibility properties that should be considered for performance tests used in the exercise and sport sciences and how these should be defined.
Each of these variables was averaged across trials to obtain subject 'ensemble' averages both for the operated and the non-operated limbs.
These 30 group IC maps were used in a dual regression approach (Filippini et al. 2009) to obtain subject specific IC maps.
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Linear contrasts at each voxel were used to obtain subject-specific estimates for each effect.
The free modulus technique of the magnitude estimation method was employed to obtain subjects' discomforts for varying joint motions.
They have lodged in the bodies of fish, birds, reptiles, and domestic and wild animals to the point where it is now almost impossible for scientists carrying on animal experiments to obtain subjects free from such contamination.
Two caveats should be noted: first, correct classification error rates must be obtained using a separate test dataset, and second, an additional post-processing step is required to obtain subject-level classifications.
Perhaps surprisingly, our results also suggest that it is still reasonable to utilize URF for the analysis of cluster-correlated data with two caveats: first, correct classification error rates must be obtained using a separate test dataset, and second, an additional post-processing step is required to obtain subject-level classification.
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