For all data, the mean and standard deviation were calculated using SPSS for Windows ver. 14.0 (SPSS, Chicago, IL, USA). Repeated measures two-way ANOVA was used to control for differences between groups, test periods, physical characteristics, and biochemical blood component changes caused by Taekwondo exercise training. All statistical significance level (α) were set at .05.
Spss for windows ver 14
Manufactured by IBM
Sourced in United States
SPSS for Windows ver. 14.0 is a software package that provides statistical analysis and data management functionality. It allows users to perform a variety of statistical tests, create graphs and visualizations, and manage data. The software is designed to run on the Windows operating system.
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Lab products found in correlation
4 protocols using spss for windows ver 14
1
Taekwondo Exercise Impact on Physiology
2
Quantitative Western Blot Analysis
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Statistical analysis was performed using SPSS for Windows (Ver. 14.0; SPSS Inc., Chicago, IL, USA). Western blot protein levels were normalized to β-actin as a loading control. Relative optical density of protein bands was measured following subtraction of the film background. Experiments were repeated three times. Data are shown as mean ± SE. One-way analysis of variance with post-hoc testing was used to compare multiple western blot and BrdU labeling datasets. A P value < 0.05 was considered statistically significant.
3
Statistical Analysis of Experimental Data
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Statistical analysis was performed using SPSS for Windows (Ver. 14.0; SPSS Inc., Chicago, IL, USA). Experiments was repeated three times. Data are shown as the mean ± SD. One-way analysis of variance followed by Bonferroni confidence interval adjustment tests was conducted to evaluate dynamic changes in all experimental data. P < 0.05 was considered statistically significant.
4
Correlates of Bone Mineral Density
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The Mann-Whitney U-test was used to compare the T-scores and the absolute BMD data between the control and experimental groups. The Spearman correlation analysis was used to determine the presence of any correlations in the experimental group for the BMI, physical characteristics, physical examination, and clinical parameters. Linear regression was used to determine the independent influence of each risk factor on the BMD; here, p-value is statistically significant below 0.05. All of the data were analyzed using the SPSS for Windows ver. 14.0 (SPSS Inc., Chicago, IL, USA).
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