2023
DOI: 10.1519/jsc.0000000000004586
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Countermovement Jump Force-Time Curve Analyses: Reliability and Comparability Across Force Plate Systems

Justin J. Merrigan,
Adam Strang,
Jason Eckerle
et al.

Abstract: Merrigan, JJ, Strang, A, Eckerle, J, Mackowski, N, Hierholzer, K, Ray, NT, Smith, R, Hagen, JA, and Briggs, RA. Countermovement jump force-time curve analyses: reliability and comparability across force plate systems. J Strength Cond Res XX(X): 000–000, 2023—Considering the growing prevalence of commercial force plates providing automated force-time analyses, understanding levels of agreement across force plate systems is warranted. Countermovement jump (CMJ) metrics across Vald ForceDecks (FD), Hawkin Dynamic… Show more

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Cited by 11 publications
(1 citation statement)
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“…Thus, it has been widely used by sports scientists and strength and conditioning practitioners as a non-invasive and time-efficient testing modality for the assessment of lower-body neuromuscular performance characteristics ( 14 19 ). When performed on portable force plate systems that allow rapid data analysis, a plethora of force-time metrics can be obtained with high levels of validity and reliability ( 16 , 20 ). This includes metrics within both the eccentric and concentric phases of the jumping movement, which offers a comprehensive movement analysis and avoids quantifying an athlete's performance based on a single variable (e.g., jump height) ( 12 , 18 , 19 ).…”
Section: Introductionmentioning
confidence: 99%
“…Thus, it has been widely used by sports scientists and strength and conditioning practitioners as a non-invasive and time-efficient testing modality for the assessment of lower-body neuromuscular performance characteristics ( 14 19 ). When performed on portable force plate systems that allow rapid data analysis, a plethora of force-time metrics can be obtained with high levels of validity and reliability ( 16 , 20 ). This includes metrics within both the eccentric and concentric phases of the jumping movement, which offers a comprehensive movement analysis and avoids quantifying an athlete's performance based on a single variable (e.g., jump height) ( 12 , 18 , 19 ).…”
Section: Introductionmentioning
confidence: 99%