Representative movement measurement in sport: gold standard measurement versus gold standard data

Emma Anderson, Joseph Antony Stone, Mohsen Shafizadehkenari, Marcus Dunn, Ben Heller

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Newell's constraints-led model [1] suggests that boundaries or instructions (constraints) placed on the task, performer and environment affect the affordances (opportunities for action) of movement production. Therefore,
when measuring movement behaviour, the data recorded represents the interaction between the impose constraints in those experimental conditions. Here, using the theoretical framework of ecological dynamics (i.e., constraints-led model and representative design) we propose the idea of 'gold standard data', meaning data collected in an everyday sport environment with no interference to the typical constraints of the performer, environment or competitive/training task. We propose that a continuum exists between 'gold standard data' and 'gold standard measurements' (i.e. highly accurate systems that can measure kinematics with precision which are often used to validate other technologies [2, 3]); suggesting this continuum as a method to help movement scientists reflect on the measurement techniques used in research and applied practice (see Figure 1). Finally, we suggest the term 'co-operative data' to describe data collected during experiments that negotiate a balance between measurement precision and representative design.
Original languageEnglish
Title of host publicationMeasuring Behavior 2018
Subtitle of host publicationConference Proceedings of the 11th International Conference on Methods and Techniques in Behavioral Research
Pages207-208
Number of pages2
ISBN (Electronic)9781910029398
Publication statusPublished - 2018
EventMeasuring Behavior 2018 - Manchester, United Kingdom
Duration: 5 Jun 20188 Jun 2018

Conference

ConferenceMeasuring Behavior 2018
Country/TerritoryUnited Kingdom
CityManchester
Period5/06/188/06/18

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