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Significant bivariate correlations: to be or not to be?
| datacite.subject.fos | Ciências Médicas::Ciências da Saúde | |
| datacite.subject.fos | Ciências Médicas::Outras Ciências Médicas | |
| datacite.subject.sdg | 03:Saúde de Qualidade | |
| datacite.subject.sdg | 04:Educação de Qualidade | |
| datacite.subject.sdg | 09:Indústria, Inovação e Infraestruturas | |
| dc.contributor.author | Morouço, Pedro | |
| dc.date.accessioned | 2025-09-30T14:08:38Z | |
| dc.date.available | 2025-09-30T14:08:38Z | |
| dc.date.issued | 2020-03-31 | |
| dc.description.abstract | 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. | eng |
| dc.identifier.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. | |
| dc.identifier.doi | 10.6063/motricidade.20189 | |
| dc.identifier.eissn | 2182-2972 | |
| dc.identifier.issn | 1646-107X | |
| dc.identifier.uri | http://hdl.handle.net/10400.8/14164 | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | |
| dc.publisher | Universidade de Trás-os-Montes e Alto Douro | |
| dc.relation.hasversion | https://revistas.rcaap.pt/motricidade/article/view/20189 | |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc/4.0/ | |
| dc.subject | association | |
| dc.subject | variables | |
| dc.subject | correlations | |
| dc.subject | squat jump | |
| dc.subject | sprint running | |
| dc.title | Significant bivariate correlations: to be or not to be? | eng |
| dc.type | editorial | |
| dspace.entity.type | Publication | |
| oaire.citation.endPage | 2 | |
| oaire.citation.issue | 1 | |
| oaire.citation.startPage | 1 | |
| oaire.citation.title | Journal Motricidade | |
| oaire.citation.volume | 16 | |
| oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |
| person.familyName | Morouço | |
| person.givenName | Pedro | |
| person.identifier | 435983 | |
| person.identifier.ciencia-id | F619-3996-742A | |
| person.identifier.orcid | 0000-0002-5956-9790 | |
| person.identifier.rid | K-9545-2013 | |
| person.identifier.scopus-author-id | 24339135400 | |
| relation.isAuthorOfPublication | 05b28d80-9e18-41cc-a66c-f37955bfc8da | |
| relation.isAuthorOfPublication.latestForDiscovery | 05b28d80-9e18-41cc-a66c-f37955bfc8da |
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- 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.
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