References
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Study flowchart [Evaluation using a stabilometric platform. Author’s content.Box plots and histograms for the two-dimensional COP distance variable. The graphs were constructed from all the data gathered from both groups. COP—center of pressure; EO—eyes open; EC—eyes closed.Results of hierarchical two-dimensional regression analysis: the dependent variable is the COP distance, and the main effect is the measurement in the experimental group. Left panels: a posteriori distributions of regression coefficients. Shaded areas denote 95% confidence level. Right panels: estimated marginal means. The points denote a posteriori distribution mean values, and vertical lines represent 95% confidence intervals. COP—center of pressure; EO—eyes open; EC—eyes closed.Results of hierarchical two-dimensional regression analysis: the dependent variable is the COP distance, whereas the predictors are the dependent variable and the group. Left panels: a posteriori distributions of regression coefficients. Shaded areas denote 95% confidence level. Right panels: estimated marginal means. The points denote a posteriori distribution mean values, and vertical lines represent 95% confidence intervals. COP—center of pressure; EO—eyes open; EC—eyes closed; Measur.:Gr.—Measurement: Group.Box plots and histograms for the two-dimensional COP-SA variable. The graphs were constructed from all the data gathered from both groups. COP—center of pressure; EO—eyes open; EC—eyes closed.Results of hierarchical two-dimensional regression analysis: the dependent variable is the COP-SA, and the main effect is the measurement in the experimental group. Left panels: a posteriori distributions of regression coefficients. Shaded areas denote 95% confidence level. Right panels: estimated marginal means. The points denote a posteriori distribution mean values, and vertical lines represent 95% confidence intervals. COP—center of pressure; EO—eyes open; EC—eyes closed.Results of hierarchical two-dimensional regression analysis: the dependent variable is the COP-SA, whereas the predictors are the dependent variable and the group. Left panels: a posteriori distributions of regression coefficients. Shaded areas denote 95% confidence level. Right panels: estimated marginal means. The points denote a posteriori distribution mean values, and vertical lines represent 95% confidence intervals. COP—center of pressure; EO—eyes open; EC—eyes closed; Measur.:Gr.—Measurement: Group.Box plots and histograms for the two-dimensional COP sway velocity variable. The graphs were constructed from all the data gathered from both groups. COP—center of pressure; EO—eyes open; EC—eyes closed.Results of hierarchical two-dimensional regression analysis: the dependent variable is the COP sway velocity, and the main effect is the measurement in the experimental group. Left panels: a posteriori distributions of regression coefficients. Shaded areas denote 95% confidence level. Right panels: estimated marginal means. The points denote a posteriori distribution mean values, and vertical lines represent 95% confidence intervals. COP—center of pressure; EO—eyes open; EC—eyes closed.Results of hierarchical two-dimensional regression analysis: the dependent variable is the COP sway velocity, whereas the predictors are the dependent variable and the group. Left panels: a posteriori distributions of regression coefficients. Shaded areas denote 95% confidence level. Right panels: estimated marginal means. The points denote a posteriori distribution mean values, and vertical lines represent 95% confidence intervals. COP—center of pressure; EO—eyes open; EC – eyes closed; Measur.:Gr.—Measurement: Group.Fitness of the regression models to the dataset used in this paper for testing changes in experimental group.COP—center of pressure; LOOIC—leave-one-out information criterion; KFOLDIC—k-fold information criterion EO—eyes open; EC—eyes closed; R-squared EG stands for R-squared for the measurement effect. Total R-squared is a variance explained by a random effect to a study participant.Fitness of the regression models to the dataset used in this paper for testing differences between groups.COP—center of pressure; EG—main effects model; EGI—main effects and interaction model; LOOIC—leave-one-out information criterion; KFOLDIC—k-fold information criterion; EO—eyes open; EC—eyes closed; R-squared EG stands for R-squared for the measurement effects and a group. Total R-squared is a variance explained by a random effect to a study participant.