Multivariate Analysis in the Maximum Strength Performance

<div><p>The aim of this study was to investigate the effect of 6-week plyometric training on muscular strength in young silat athletes. Thirty-four male silat exponents (<em>M</em><sub>age</sub> = 14 ± 3.22 years) were randomly assigned to a control or experimental group (<em>n</em> = 17 for each group). The experimental group participated in conventional silat workout routine three times a week for one-hour session plus plyometric training two times a week for one-hour session. The control group performed conventional silat workout routine three times per week for one to two-hours session. The one repetition maximum (1RM) squat test was used three times (pre-, mid- and post-test). Results revealed that muscular strength performance improved for the experimental group. This improvement was 9.16% between pre- and mid-test, 18.81% between mid- and post-test, and 29.7 % between pre- and post-test. Plyometric training was shown to be effective to improve maximum strength of young silat athletes.</p></div>

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Influence of linear-sprint performance, concentric power and maximum strength on change of direction performance in elite youth soccer players

German Journal of Exercise and Sport Research ◽

10.1007/s12662-020-00692-5 ◽

2020 ◽

Author(s):

Björn Kadlubowski ◽

Michael Keiner ◽

Tobias Stefer ◽

Andreas Kapsecker ◽

Hagen Hartmann ◽

...

Keyword(s):

Pearson Correlation ◽

Sprint Performance ◽

Maximum Strength ◽

Soccer Players ◽

Strength Performance ◽

Youth Soccer ◽

Change Of Direction ◽

Wide Range ◽

Explained Variance ◽

The Relationship

AbstractChange of direction (COD) performance has an essential role in soccer. In the literature, there is a wide range of explained variance in correlation analyses between linear-sprint performance, concentric power and maximum strength and COD performance. Therefore this study has (1) analyzed the influence of linear-sprint performance, concentric power and maximum strength on COD performance in elite youth soccer players and (2) compared the calculated influence on the different COD tests. To answer the research questions, 67 elite youth soccer players were tested. The linear-sprint (10 m, [LS]) performance, concentric power (squat jump [SJ]) and maximum strength (1 repetition maximum [1 RM]) and COD (measured via the Illinois agility test [IAT], the 505 agility test [505], the agility test of the German Soccer Association [GewT], and the triangle test [TriT]) were assessed. The Pearson correlation analysis was used to assess the relationship. Benjamini and Hochberg’s method, which was used to control the study-wise false discovery rate, was 0.05. The LS performance had the greatest impact on COD performance with a wide range of explained variance between the different COD tests (r2 = 0.18 to 0.39). However, SJ compared to LS performance had lower influence, but also a wide range of explained variance (r2 = −0.02 to −0.29). Correlations for 1 RM and COD test were calculated with r2 = −0.01 to −0.09. Thus, (1) the greater the similarity between the performance tests (i.e., LS, SJ, 1 RM) and the COD tests, the higher the explained variance between the variables in question. Furthermore, (2) as the different COD tests are affected to different degrees by linear-sprint, concentric power and maximum strength performance, it might be concluded that the tests have a different physiological requirement profile. Therefore, coaches and sport scientists must review and select different tests with logical validity, based on the requirement profiles of soccer.

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Diurnal Variation in Maximum Endurance and Maximum Strength Performance

Medicine & Science in Sports & Exercise ◽

10.1249/mss.0000000000002773 ◽

2021 ◽

Vol Publish Ahead of Print ◽

Author(s):

Raphael Knaier ◽

Jingyi Qian ◽

Ralf Roth ◽

Denis Infanger ◽

Timo Notter ◽

...

Keyword(s):

Diurnal Variation ◽

Maximum Strength ◽

Strength Performance

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Statistical analysis of classification

Symposium - International Astronomical Union ◽

10.1017/s0074180900053420 ◽

1966 ◽

Vol 24 ◽

pp. 188-189

Author(s):

T. J. Deeming

Keyword(s):

Multivariate Analysis ◽

Statistical Analysis ◽

Classification Scheme ◽

Analytical Procedure ◽

Narrow Band ◽

Scientific Research ◽

Maximum Amount ◽

Amount Of Information

If we make a set of measurements, such as narrow-band or multicolour photo-electric measurements, which are designed to improve a scheme of classification, and in particular if they are designed to extend the number of dimensions of classification, i.e. the number of classification parameters, then some important problems of analytical procedure arise. First, it is important not to reproduce the errors of the classification scheme which we are trying to improve. Second, when trying to extend the number of dimensions of classification we have little or nothing with which to test the validity of the new parameters.Problems similar to these have occurred in other areas of scientific research (notably psychology and education) and the branch of Statistics called Multivariate Analysis has been developed to deal with them. The techniques of this subject are largely unknown to astronomers, but, if carefully applied, they should at the very least ensure that the astronomer gets the maximum amount of information out of his data and does not waste his time looking for information which is not there. More optimistically, these techniques are potentially capable of indicating the number of classification parameters necessary and giving specific formulas for computing them, as well as pinpointing those particular measurements which are most crucial for determining the classification parameters.

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