should display measurement characteristics of validity (the ability of a test to measure what it is designed to measure), reliability (the consistency of results from a test), and sensitivity (the extent to which a test can detect changes beyond the typical error [TE] in results). 10 , 11 Reliability
Samuel Ryan, Emidio Pacecca, Jye Tebble, Joel Hocking, Thomas Kempton and Aaron J. Coutts
Wei-Ting Hsu and Min Pan
good players and Coach gives me the you can do it look . Saville and Bray ( 2016 ) found that RISE coaching behaviors could positively predict players’ RISE and could further predict players’ self-efficacy. Most importantly, this research developed a measurement for RISE coaching behaviors and
Joonkoo Yun and Dale A. Ulrich
The purposes of this tutorial are threefold: (a) to clarify the meaning of measurement validity, (b) to provide appropriate validation procedures for use by researchers in adapted physical activity, and (c) to raise the awareness of the limitations of the traditional views on measurement validity. Several validation procedures are described with specific examples from adapted physical activity research based on traditional approaches of providing validity evidence. Conceptual and empirical limitations of the traditional validity framework are discussed. We recommend that several categories of validity evidence should be reported in research studies. We encourage practicing the unified concept of measurement validity (Messick, 1993, 1995) in adapted physical activity research and practice.
Live S. Luteberget, Benjamin R. Holme and Matt Spencer
indoors, thus not useable for indoors sports such as team handball. In recent years, an inertial measurement unit (IMU) has been integrated into GPS devices, to provide additional information relating to physical loads during games and training. IMUs consist of the inertial sensors accelerometers and
Samuel Ryan, Thomas Kempton, Emidio Pacecca and Aaron J. Coutts
for the left and right limbs in order to enhance standardization, reduce measurement error, and enhance the objectivity of results. However, evidence of the measurement precision of this apparatus for monitoring adductor strength has not been established. The aim of this study was to examine the
Justin W.Y. Lee, Ming-Jing Cai, Patrick S.H. Yung and Kai-Ming Chan
measures for players with increased risk of new injury and reinjury. Based on the result, coaches would be able to monitor and to provide individualized training program. A variety of measurement tools to be used in either the laboratory or the field are available to practitioners to quantify hamstring
Jacob A. Goldsmith, Cameron Trepeck, Jessica L. Halle, Kristin M. Mendez, Alex Klemp, Daniel M. Cooke, Michael H. Haischer, Ryan K. Byrnes, Robert F. Zoeller, Michael Whitehurst and Michael C. Zourdos
Barbell velocity can be used to autoregulate training variables by using velocity to gauge daily intensity instead of percentage of 1-repetition maximum (1RM) due to daily fluctuations in strength levels. However, the utility of velocity is dependent on the measurement device’s accuracy. Linear
Peter Olusoga, Marte Bentzen and Goran Kentta
literature within the field of coach burnout is still relatively modest, yet is considerably varied when it comes to theoretical framework, study design, and measurement. Scoping reviews are argued to be suitable in these situations, as they allow greater flexibility to include a wider range of types of
Xihe Zhu and Justin A. Haegele
children and adolescents is about 5% higher on the first and last measurement days and suggested providing at least one familiarization day for school-age children to enhance the measurement accuracy. Like research focusing on individuals without disabilities, accelerometers and pedometers are also widely
Jason C. Holmes, Ann L. Gibson, J. Gualberto Cremades and Constance M. Mier
To compare estimates of body density (Db) from air-displacement plethysmography (ADP) with measured and predicted thoracic-gas-volume (TGV) measurements and those from hydrodensitometry (HD) in children.
Seventeen participants (13 male and 4 female; 10.1 ± 2.20 yr, 42.0 ± 15.03 kg, 145.6 ± 17.41 cm, 30.0 ± 8.66 kg/m2) were tested using ADP and HD, with ADP always preceding HD. Db estimates were compared between ADP with measured TGV, ADP with predicted TGV, and the reference measure, HD. Regression analyses were used to assess the accuracy of the ADP methods, and potential bias between the ADP procedures and HD were evaluated using Bland–Altman analyses. The cross-validation criteria described by Lohman for estimating Db relative to HD were used to interpret the results of the study.
A significant difference was found between Db estimates from ADP with measured TGV (1.0453 ± 0.01934 g/cm3) and ADP with predicted TGV (1.0415 ± 0.01858 g/cm3); however, neither was significantly different from Db obtained by the reference HD procedure (1.0417 ± 0.02391 g/cm3). For both ADP procedures, regression analyses produced an r = .737–.738, r 2 = .543−.544, and SEE = 0.02 g/cm3, and the regression lines deviated significantly from the line of identity; however, no significant biases were indicated.
Despite no significant mean differences between Db estimates from the ADP procedures and HD, more cross-validation research is needed before recommending the BOD POD for routine use with children in clinical and research settings.