2014
DOI: 10.1590/2176-9451.19.6.014-015.ebo
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“…Principal component analysis (PCA) with Kaiser normalization varimax rotation was used to extract components by grouping the cephalometric variables in the Class I and Class II groups. 21 , 22 , 25 The components with an eigenvalue higher than 1 were chosen. 18 , 19 After the mean ICC values of each component were calculated, the A value was also calculated for the Class I and Class II groups.…”
Section: Methodsmentioning
confidence: 99%
“…Principal component analysis (PCA) with Kaiser normalization varimax rotation was used to extract components by grouping the cephalometric variables in the Class I and Class II groups. 21 , 22 , 25 The components with an eigenvalue higher than 1 were chosen. 18 , 19 After the mean ICC values of each component were calculated, the A value was also calculated for the Class I and Class II groups.…”
Section: Methodsmentioning
confidence: 99%