eliminate opponent counterstrike, where multiple shots are realistically applicable only with high shooting accuracy and precision ( Brown & Mitchell, 2017 ). In this psychologically demanding situation, it is not easy to maintain appropriate shooting performance ( Chung, Delacruz, de Vries, Bewley, & Baker
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Michal Vágner, Zdeněk Bílek, Karel Sýkora, Vladimír Michalička, Lubomír Přívětivý, Miloš Fiala, Adam Maszczyk, and Petr Stastny
Gustavo Ramos Dalla Bernardina, Tony Monnet, Heber Teixeira Pinto, Ricardo Machado Leite de Barros, Pietro Cerveri, and Amanda Piaia Silvatti
acquisitions based on the same calibration procedure. As such, in this study we compared a GoPro camera system (ASC) with a Vicon camera system (MOCAP) in terms of 3D precision, accuracy, and kinematics of gait and jump in a controlled laboratory setup. Methods As camera systems we used 4 GoPro Hero3+ Black
Carl Persson, Flinn Shiel, Mike Climstein, and James Furness
Design To assess the novice and experienced technicians’ reliability, precision, and sensitivity to change, individuals were assigned to a group (experienced or novice). Individuals’ total body BC and BMD were scanned twice on the same day, minutes apart with repositioning between each scan. Scanning
Paul N. Goncharow and Shawn M. Beaudette
landmarks, it is necessary to understand the accuracy and precision of transfer learning algorithms, such as DLC, relative to accepted laboratory standards, under ideal scenarios, to realize the value of such an approach. The purpose of the current study was to compare concurrent flexion–extension angles of
Benjamin M. Jackson, Ted Polglaze, Brian Dawson, Trish King, and Peter Peeling
. Subsequently, the percentage of total distance covered in each velocity band was calculated for each period. For acceleration and deceleration, the number of efforts (>1.46 and <−1.46 m·s −2 ) was recorded. As well as these movement variables, the value for horizontal dilution of precision (HDoP) was extracted
Ava Farley, Gary J. Slater, and Karen Hind
, 2009 ; Olds, 2001 ), yet these athletes tend to see only small adaptations or improvements in physique over time ( Binkley et al., 2015 ; Harley et al., 2011 ; Lees et al., 2017 ; Smart et al., 2013 ). Given this evidence, assessment methods with high precision are required to measure body
John H. Challis
Repeat measurements were made by 2 operators on a group of 50 physically active subjects (age, 20.7 years ± 1.8; males: height 1.780 m ± 0.043. mass, 78.09 kg ± 9.30; females: height. 1.680 m ± 0.064. mass. 66.67 kg ± 6.67) to determine the precision with which the subjects' limb segment inertial parameters could be estimated. Segmental inertial parameters were determined using 3 techniques. 2 of which involved modeling segments as geometric solids, and a 3rd which used the equations of Zatsiorsky et al. (1990). Precisions were high for all 3 techniques, with little difference between inter- and intra-operator precisions. The lowest precisions were obtained for the hands and feet. For these segments the use of repeat measures to improve precision is recommended. These results imply that with similarly trained measurers, comparison of inertial parameters determined using the same protocol but obtained by different operators is appropriate, and that it is viable to have 2 measurers taking measurements on the same subject to accelerate data collection.
Craig R. Denegar and Donald W. Ball
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.
Joseph Myers, John Jolly, Takashi Nagai, and Scott Lephart
Context:
In vivo scapular kinematics during humeral movements are commonly assessed with electromagnetic tracking devices despite few published data related to reliability and precision of these measurements.
Objective:
To determine the intrasession reliability and precision of assessing scapular kinematics using an electromagnetic tracking device.
Design:
Scapular position and orientation were measured with an electromagnetic tracking device during humeral elevation/depression in several planes. Intrasession reliability and precision were established by comparing 2 trials performed in succession.
Setting:
A human-movement research laboratory.
Participants:
15 healthy individuals.
Main Outcome Measures:
Intrasession intraclass correlation coefficients and standard error of measurement of all scapular variables were established.
Results:
The mean intrasession reliability for all variables was ICC = .97 ± .03. The mean intrasession precision was .99° ± .36°.
Conclusions:
In vivo scapular kinematics can be measured with high reliability and precision during intrasession research designs.
Gary J. Slater, Ava Farley, Luke Hogarth, Jose L. Areta, Gøran Paulsen, and Ina Garthe
; Lees et al., 2017 ), requiring a highly precise assessment tool. While precision of multicomponent models is high ( Withers et al., 1999 ), resource constraints typically ensures use is restricted to research activities. In practice, dual-energy X-ray absorptiometry (DXA) has gained popularity n the
