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The 66 correlation coefficients between all movement variables were significant at 0.05% level using the Bonferroni adjustment.
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All movement variables for head and neck kinematics showed differences between participants with- and without chronic WAD and the detailed results are presented in Figure 2 and Table 2.
Therefore, this system could be used for studying of the relationship between various movement variables and brain motor function, especially for the study of the rehabilitation field.
In this case, four movement patterns factor score variables account for most of the variability within and between the 12 original movement variables.
Relationships between all the variables were examined.
The PCA shows correlations between all the variables (Fig. 4a).
(DOCX 27 KB) 13717_2012_14_MOESM2_ESM.docx Additional file 2 Bivariate relationships between all predictor variables.
We also analyzed associations and correlations between all survey variables.
We expected autocorrelation between all five variables.
Table 5 provides the correlations between all kinematic variables.
Spearman rank correlations were determined between all variables.
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