The Result of Mid-High-Heeled Footwear on Young Adult Women
2.10 . Statistical Analysis
Then , R version 3.5.1 ( The R Foundation for Statistical Computing , Indianapolis , IN , USA ) software was used to compare the distribution of the angles measured with and without heels . Outliers were identified as outside 1.5 The interquartile range ( IQR ). The measurements that qualified as outliers were examined for correctness . The Wilcoxon signed rank test was used to search for statistically significant differences between the two subject states ( barefoot and heels ) for any of the monitored angles and to reveal whether mean barefoot position measurements are statistically significantly different from high-heeled position measurements .
The effect size was assessed using the matched pairs binomial correlation coefficient , where values less than 0.3 were considered small , between 0.3 and 0.7 — medium , and more than 0.7 — large .
Figure 4
uExample of artificial marker displacements . The blue point is the original marker position , and the yellow point is the marker after the displacement , and in magenta is the displacement vector .
Repeatability of barefoot measurements was tested using the Intraclass Correlation Coefficient ( ICC3,3 ) with a mean-rating ( k = 3 ), absolute-agreement , 2-way mixedeffects model . The result was interpreted according to the guidelines for ICC inter-rater agreement measures , where : Less than 0.40 — poor ; Between 0.40 and 0.59 — fair ; Between 0.60 and 0.74 — good ; Between 0.75 and 1.00 — excellent .
3 . Results
During the 3D data pre-processing stage , a complete set of markers required for further analysis could be successfully extracted in 56 subjects . The rest was removed from the
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