Spss 24 for windows

A power analysis based on scoring from previous investigations that examined dynamic balance in a healthy group of recreationally active adults indicated that a total of 11 subjects per group would be required for the current investigation.^58,59 (link) Following the recommendation of a previous report,⁶⁰ (link) the dominant limb of all healthy participants and the affected limb of the ACL-injured participants was used for analysis. SPSS for Windows 24.0 (SPSS Inc.; Chicago, IL) was used for analysis. One-way analysis of variance (ANOVA) was used to test the differences in baseline demographic and anthropometric data between perturbation and control groups for each of healthy and ACL-injured groups. Two-way ANOVAs were used to compare baseline and follow-up scoring on dynamic balance, proprioception, flexibility, and strength. A post hoc Bonferroni correction of p ≤ 0.008 was set to determine statistical significance. A Fisher’s exact test was used to examine the relationship between the group (control or perturbation training) and clinically significant improvements in each YBT reach direction. The level of statistical significance was set at p ≤ 0.05 while a clinically significant improvement was classified as greater than 8.54%, 13.50% and 13.70% for the ANT, PM and PL reach directions, respectively.⁶¹ (link)

Normally distributed measurement data are presented as the mean ± standard deviation, and independent two samples t-tests were used for comparisons between the 2 groups. Count data are presented as the frequency and composition ratio, and the chi-square test was used for comparisons between groups. The subjects were divided into 4 groups according to CC quartile (i.e., Q1 (CC ≥ 35.7 cm), Q2 (34 ≤ CC < 35.7 cm), Q3 (31.9 ≤ CC < 34 cm), and Q4 (CC < 31.9 cm). The odds ratios (ORs) and 95% confidence intervals (CIs) for predicting cardiovascular risk factors using the CC were determined by multivariate logistic regression analyses after controlling for other potential confounders. The covariates adjusted for bias included age, smoking, drinking, and BMI. Statistical analyses were carried out using SPSS for Windows 24.0 (SPSS Inc. Chicago, IL, USA). A P value less than 0.05 was considered statistically significant.
To ensure the reliability and validity of measurements, centralized training programs and regular quality control were implemented for the special investigators. Additionally, a reproducibility study was performed. The mean absolute difference and correlation coefficient between repeated examinations of CC were, 0.06 mm and 0.69, respectively.