The traditional approach of reporting time-series data on outcome measures from a modified vector coding technique can be problematic when overlaying multiple trials on the same illustration. The purpose of this study was to provides researchers the prospect to inspect an entire dataset and to compare data across multiple participants and experimental conditions via the use of colour. This study showcases the application of coupling angle mapping, coordination variability mapping, and segmental dominancy profiling during the maximal instep kick in association football. These new data visualisation approaches can assist current data analysis techniques such as coordination profiling and multiple single-single research design studies.
Needham, Robert; Gosling, Jamie; Naemi, Roozbeh; Hamill, Joseph; and Chockalingam, Nachiappan
"COUPLING ANGLE MAPPING TO ASSESS PELVIS-THORAX COORDINATION AND COORDINATION VARIABILITY DURING THE MAXIMAL INSTEP KICK IN ASSOCIATION FOOTBALL,"
ISBS Proceedings Archive: Vol. 36:
1, Article 136.
Available at: https://commons.nmu.edu/isbs/vol36/iss1/136