A Framework to Guide Practitioners for Selecting Metrics during the Countermovement and Drop Jump Tests

Chris Bishop, Anthony Turner, Matt Jordan, John Harry, Irineu Loturco, Jason Lake, Paul Comfort

Research output: Contribution to journalReview articlepeer-review

45 Scopus citations

Abstract

Researchers and practitioners have highlighted the necessity to monitor jump strategy metrics and the commonly reported outcome measures during the countermovement jump (CMJ) and drop jump (DJ) tests. However, there is a risk of confusion for practitioners, given the vast range of metrics that now seem to be on offer via analysis software when collecting data from force platforms. As such, practitioners may benefit from a framework that can help guide metric selection for commonly used jump tests, which is the primary purpose of this article. To contextualize the proposed framework, we have provided 2 examples for how this could work: one for the CMJ and one for the DJ, noting that these tests are commonly used by practitioners during routine testing across a range of sport performance and clinical settings.

Original languageEnglish
Pages (from-to)95-103
Number of pages9
JournalStrength and Conditioning Journal
Volume44
Issue number4
DOIs
StatePublished - Aug 1 2022

Keywords

  • monitoring
  • profiling
  • sensitivity to change

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