Spss v 21 software for windows

The anthropometric characteristics of the study sample are presented as means, standard deviations (SD) or relative frequencies (n, %). Normality of the selected variables was verified using histograms and Q-Q plots. An independent t-test or chi square was employed to determine the differences in the participants’ anthropometric characteristics and aerobic capacity measurements between boys and girls. Multiple regression analysis was performed to determine the strongest morphological component predictor for cardiorespiratory fitness, with controlling of factors – age, gender, and Tanner staging. Statistics were calculated on SPSS V. 21 software for Windows (SPSS, Chicago, IL, USA), and the significance level was set at 5%.

The Kolmogorov–Smirnov test was utilized to confirm the normal distribution of the continuous data, with the result being <0.05, indicating that the data did not follow a normal distribution.
To analyze the reliability of the scale, a test–retest method was applied, with the calculation of the intraclass correlation coefficient (ICC) to evaluate the degree of consistency between the quantitative measurements obtained in the questionnaire. To examine the internal consistency, Cronbach’s α was utilized, with a minimum value of 0.700 desired.
An exploratory factorial analysis (EFA) was performed. Before this, the Kaiser–Meyer–Olkin (KMO) and Bartlett’s sphericity tests were performed to consider the adjustment of the values for the EFA. So that the factorial loads were consistent, the value had to be ≥0.40 for an item to be part of the factor selected [30 (link)].
Spearman’s correlation coefficient, Welch’s t-test and Welch’s ANOVA were utilized. Values of p < 0.05 were considered significant. For the statistical analysis, the SPSS v21 software for Windows was utilized (SPSS, Inc., Chicago, IL, USA).