On discretising continuous data for subgroup analysis in baseball pitching and alternative analytical methodologies
(Diskretisierung kontinuierlicher Daten für die Analyse von Untergruppen beim Baseball-Pitching und alternative Analysemethoden)
There is a plethora of research attempting to contrast high- and low-velocity pitchers to identify traits to target for increasing velocity. However, pitch velocity exists on a continuum. Therefore, our purpose is to display the analytical discrepancies between creating velocity subgroups and leaving velocity as a continuous variable by examining the influence of ball velocity on elbow valgus torque. Motion capture data for 1315 actively competing pitchers were retrospectively extracted from a private database. We compared three analytic methods: (1) linear regression of valgus torque on ball velocity, (2) t-test between low- and high-velocity groups formed by a median split, and (3) t-test between very low- and very high-velocity groups formed by upper and lower velocity quartiles. Linear regression indicates ball velocity influenced valgus torque (p < 0.001, R2 = 0.280). Median splitting reduced the predictability of ball velocity on valgus torque (p < 0.001, R2 = 0.180). Conversely, extreme group splitting artificially inflated the effect size (p < 0.001, R2 = 0.347). We recommend sports biomechanics researchers not discretise a continuous variable to form subgroups for analysis because (1) it distorts the relationship between the variables of interest and (2) a regression equation can be used to estimate the dependent variable at any value of the independent variable, not just the group means.
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| Schlagworte: | |
|---|---|
| Notationen: | Spielsportarten |
| Tagging: | Ball Regression Drehmoment |
| Veröffentlicht in: | Sports Biomechanics |
| Sprache: | Englisch |
| Veröffentlicht: |
2024
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| Online-Zugang: | https://doi.org/10.1080/14763141.2024.2377219 |
| Jahrgang: | 23 |
| Heft: | 12 |
| Seiten: | 3490-3501 |
| Dokumentenarten: | Artikel |
| Level: | hoch |