When we calculate the total contribution of a variable for a single dimension, the sum of all single contributions is equal to 100%, which makes perfect sense.
The http://www.sthda.com suggests to calculate the total contribution of a variable for several dimensions multiplying single contributions to their eigenvalues, i.e.
(C1 * Eig1) + (C2 * Eig2) +...+ (Cn * Eign) where Eig - the eigenvalues
-the total sum of all contributions is more than 100%. See the example here - chart "Contribution of variables to Dim 1-2":
I am confused here... Let's say the contributions of three variables on Dimensions from 1 to 5 are 97%, 91% and 85% respectively. My question: how should we interpret variable contributions to several dimensions?