applied and research settings has been presented, which can be used to determine and interpret meaningful changes in data, assisting in informing decision making. Finally, various data visualization concepts and methods have been discussed, which aim to enhance the success of the monitoring system through
Heidi R. Thornton, Jace A. Delaney, Grant M. Duthie and Ben J. Dascombe
James W. Youdas, Sara T. Mraz, Barbara J. Norstad, Jennifer J. Schinke and John H. Hollman
Hip abductor muscle weakness is related to many lower extremity injuries. A simple procedure, the Trendelenburg test, may be used to assess hip abductor performance in patient populations.
To describe the minimal detectable change (MDC) in pelvic-on-femoral (P-O-F) position of the stance limb during the Trendelenburg test.
45 healthy women (28 ± 8 years) and 45 healthy men (33 ± 11 years).
Main Outcome Measures:
P-O-F position in degrees in single-leg stance. Results: Baseline P-O-F position (hip adduction) was 83° ± 3° with a range from 76° to 94°. The intratester reliability (ICC3,1 for measurement of P-O-F position using a universal goniometer was 0.58 with a standard error of measurement (SEM) of 2°. The minimal detectable change (MDC) was calculated to be 4°.
If a person’s P-O-F position changes less than 4° between measurements, then the P-O-F position is within measurement error and it can be determined that there has been no change in the performance of the hip abductor muscles when examined by the Trendelenburg test.
Steven Eustace, Richard Michael Page and Matt Greig
treatment limb. Table 3 summarizes the overall treatment effect during the rehabilitation period. Meaningful changes (greater than SEM) were achieved in eccKF PT at all velocities for the treatment limb, and all velocities except 150–180°·s −1 in the uninvolved limb. The treatment limb also showed a
Emma C. Neupert, Stewart T. Cotterill and Simon A. Jobson
% were either undecided or disagreed that they received enough feedback from their TMS data (Figure 1A ). A further 56% either disagreed or were undecided on whether action was taken when meaningful changes in TM scores occurred (Figure 1B ). The majority of respondents stated that they were honest in
Joel M. Garrett, Stuart R. Graham, Roger G. Eston, Darren J. Burgess, Lachlan J. Garrett, John Jakeman and Kevin Norton
It is critical that when making informed decisions regarding performance, coaches and support staff have knowledge of the typical variation or repeatability of the test being applied. 1 , 2 Gaining an understanding of the meaningful change in performance is reliant on knowing if the observed
Andrew G. Wood, Jamie B. Barker, Martin Turner and Peter Thomson
REBT reduced participants’ endorsements of irrational beliefs, the intervention dose was insufficient in bringing about meaningful changes in players’ deeply held beliefs. The results indicated that the REBT intervention elicited immediate reductions in preperformance anxiety prior to a penalty shoot
Kimberlee A. Gretebeck, Caroline S. Blaum, Tisha Moore, Roger Brown, Andrzej Galecki, Debra Strasburg, Shu Chen and Neil B. Alexander
-minute walk of 80 ft (24.38 m) are consistent with estimates of substantial (0.08–0.14 m/s) 16 and small (20 m) clinically meaningful changes, respectively. 16 The mean CGS of 1.2 m/s in this study is associated with better functional outcomes and increased life expectancy. 19 A decrease in CGS of 0
Jason D. Vescovi and Greig Watson
used to detect meaningful changes in these markers when working in field-based settings. This will help to support staff to accurately identify players who are hypohydrated based on their own variation. The distribution of Usg values indicates that about half of the players were euhydrated each morning
Lindsay T. Starling and Michael I. Lambert
fatigue or fitness before a change in performance occurs. Thus, the effectiveness of the monitoring system is dependent on the quality of these output variables. 14 It is essential that monitoring systems are tested for clinimetric principles to identify what magnitude of output constitutes a meaningful
Stephen Crowcroft, Katie Slattery, Erin McCleave and Aaron J. Coutts
to give a mean time, and the smallest meaningful change (SMC) was determined as 0.3 × within-swimmer coefficient of variation (%) of race performance times. 18 Times outside of the SMC were then coded as a dichotomous outcome variable (0 = no change and 1 = change) to assess both improvements