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Significant bivariate correlations: to be or not to be?
| Nome: | Descrição: | Tamanho: | Formato: | |
|---|---|---|---|---|
| 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 |
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Orientador(es)
Resumo(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.
Descrição
Palavras-chave
association variables correlations squat jump sprint running
Contexto Educativo
Citação
Morouço, Pedro. (2020). Significant bivariate correlations: to be or not to be?. Motricidade. 16. 1-2. DOI: https://doi.org/10.6063/motricidade.20189.
Editora
Universidade de Trás-os-Montes e Alto Douro