Significant bivariate correlations: to be or not to be?

Morouço, Pedro

http://hdl.handle.net/10400.8/14164

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Significant bivariate correlations To be or not to be.pdf	Just like in many other fields of research, sport sciences use statistics to infer about the associations between variables. For example, aiming to examine the relationship between squat jump with sprint running velocity has brought several experiments, demonstrating a strong to very strong association between variables (e.g., Sleivert & Taingahue, 2004; Wisløff et al., 2004). From there on, there have been researchers proposing training programs for improving the squat jump, and consequently, the sprint running (e.g., Chelly et al., 2009). While this example seems unanimous, other emerging ideas may be questionable.	223.73 KB	Adobe PDF	Download

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Authors

Morouço, Pedro

Abstract(s)

Just like in many other fields of research, sport sciences use statistics to infer about the associations between variables. For example, aiming to examine the relationship between squat jump with sprint running velocity has brought several experiments, demonstrating a strong to very strong association between variables (e.g., Sleivert & Taingahue, 2004; Wisløff et al., 2004). From there on, there have been researchers proposing training programs for improving the squat jump, and consequently, the sprint running (e.g., Chelly et al., 2009). While this example seems unanimous, other emerging ideas may be questionable.

Keywords

association variables correlations squat jump sprint running

URI

http://hdl.handle.net/10400.8/14164

Citation

Morouço, Pedro. (2020). Significant bivariate correlations: to be or not to be?. Motricidade. 16. 1-2. DOI: https://doi.org/10.6063/motricidade.20189.