Suchergebnisse - Significance

Ma, X., Li, X., Quan, T., Liu, H., Liu, T. “… The study results showed that: (1) when controlling for other variables, as the league progresses, an increase in goals will gradually increase the possibility of better match results, and this increase shows significant differences between the early and late stages (p < 0.05).  …”

Alexandersen, A., Pettersen, S. D., Johansen, D. “… The results show no significant evidence for a correlation between the two.  …”

Otero-Saborido, F. M., Torreblanca-Martinez, S., Torreblanca-Martinez, V., Nevado-Garrosa, F., Nuñez-Campos, M., González-Jurado, J. A. “… Finally, regarding the variables relating to attack finishing, the values attained significantly higher levels in the 3CB teams in `expected goals` (p = 0.020), `goals scored` (p = 0.030) and `probability of a shot being a goal` (p = 0.046).  …”

Rochael, M., Praça, G. M. “… A MANOVA compared data at a level of significance of 5%. There were no differences between with and without time pressure formats for both distances and accelerations.  …”

Romero Clavijo, F. A., Amancio Silva, E. H., Flôres, F., Cesar Corrêa, U., Drews, R. “… Ball possession indicators were found to be significant in differentiating the ASPs. UCL teams showed a preferred ASP while also employing other styles to diversify their attacking behaviour.  …”

Gurton, W. H., Gough, L. A., Lynn, A., Ranchordas, M. K. “… Results: Neither SB-ORAL nor SB-LOTION accelerated indices of recovery but decline in soccer-specific performance from baseline to 3 d post was attenuated for SB-ORAL, with significant effects for IAT (p = 0.032, g = 1.69) and Yo-Yo IR2 (p = 0.026, g = 1.61) compared with PLA.  …”

Springham, M., Singh, N., Stewart, P., Matthews, J., Jones, I., Norton-Sherwood, C., May, D., Salter, J., Strudwick, A. J., Shaw, J. W. “… PC1 (mean: 0.0 ± 2.4, range: -5.9 to 4.8) had a significant negative relationship with neuromuscular performance (ß = -0.23, p = 0.044) and IADS peak force (ß = -0.15, p = 0.007), but no other components exerted significant effects (p = 0.121).  …”

Miraftabi, H., Ghorbani, H., Souzandeh, P., Berjisian, E., Naderi, A., Mojtahedi, S., Kerksick, C. “… In addition, there was no significant main effect of condition, prandial, and interaction between Condition × Prandial for the sprint test and countermovement jump and the rating of perceived exertion (all p > .5).  …”

Benedetti, L., Prandelli, N., Aiello, P., Manari, G., Nigro, F., Maracora, S., Di Michele, R. “… RESULTS: Small to moderate (r=0.45), non-significant correlations (all P>0.05) were observed between VO2max and all the examined match performance variables.  …”

Saita, Y., Yamamoto, N., Fukushima, Y., Izawa, H., Idadate, D., Harada, K., Ohyama, T., Inoue, J., Ishijima, M. “… RESULTS: The strain group, consisting of nine players, showed significantly higher MB levels (124±87.7 ng/mL) compared to the non-strain group, which included 15 players (49.9±29.6 ng/mL, P<0.01).  …”

Dawson, J. X., Bailly, A. R., Ramirez, M. R., Specht, J. W. “… CONCLUSION: 4D periods between matches result in significantly higher match-day workloads and similar internal loads compared to 3D periods, revealing that players lack recovery for matches occurring after a 3D period.  …”

Daly, L., Caulfield, P., Martínez-Hernández, D. “… Female players performed significantly greater proportions of actions at high intensity versus males (53.0 vs. 47.9%; BF10 = 38.7; Cramer's V = 0.369; p < 0.05), and the 2022/2023 cycle had lower proportion of actions at high intensity compared to earlier cycles (46.6% vs. 52.3%-52.5%; BF10 = 0.019; Cramer's V = 0.06; p < 0.05).  …”

Ocak, M. F., Sentürk, D., Akyildiz, Z. “… These findings underscore the importance of high-frequency GPS technology in sports science research and practice, significantly contributing to the field. …”

Piva, T., Zerbini, V., Barducco, A., Mancioppi, S., Raisi, A., Vassali, M., Bianchini, G., Laporta, M., Menegatti, E., Grazzi, G., Mazzoni, G., Mandini, S. “… Generalized linear mixed models (GLMMs) and cumulative link models (CLMMs) were used for statistical analysis. Results Significant improvements were observed in VMRT for upper-limb tasks (p < 0.001), while lower-limb reaction times showed no significant change.  …”

Sierra-Casas, A., Rodríguez-Marroyo, J. A., Castillo, D., Gutiérrez-Arroyo, J., Rodríguez-Fernández, A. “… Results External load metrics varied significantly across microcycles, whereas DJ performance metrics remained stable at the group level.  …”

Marques, J., Sideris, V., Whiteley, R., Santiago, P. “… Mixed model analysis and Statistical Parametric Mapping compared COD completion time, kinetics, and kinematics between limbs and groups. No significant differences were found in COD time between limbs (p = 0.52) or groups (p = 0.65).  …”

Stankovic, M., Ðordevic, S., Rancic, D., Antonijevic, M., Katanic, B., Jelaska, G., Govindasamy, K., Ardelean, V. P., Jelaska, I. “… The results revealed significant differences in body composition, with handball players being taller (173.6 ± 4.7 cm vs. 165.7 ± 4.7 cm, p = .00) and heavier (69.7 ± 10.9 kg vs. 60.9 ± 8.0 kg, p = .00), while football players had a higher percentage of muscle mass (42.9 ± 3.4% vs. 32.2 ± 2.7%, p = .00) and lower body fat (22.4 ± 6.1% vs. 27.6 ± 6.0%, p = .01).  …”

Karadenizli, Z. I., Ilbak, I., Bartik, P. “… No significant differences were found in other performance variables (p > .05).  …”

Beavan, A., Julian, R., Gogolla, F., Härtel, S., Koehle, M. S. “… Linear mixed-effects models assessed performance parameters such as distance ran, heart rate, rating of perceived exertion (RPE), accounting for confounding factors such as weather and menstrual cycle phase. Results: No significant impairments in the physical or physiological demands of athletes were observed with increasing pollution concentrations, nor did athletes` well-being appear to be disturbed.  …”

Brusvik, P., Söderström, T. “… Although the analysis did not show any significant differences in dropout constraints between genders, the significance of different reasons for dropping out within these constraint dimensions varies between women and men.  …”