MCA : what is the difference between indicator method (default) and Burt method ? and which one to use? I have a dataset with 28 ordinal variables and 1402 individuals and I am tasked to apply MCA method to create a socio-economic score SES in order to assign individuals into socio-economic groups based on the association patterns of their answers to the 28 questions/variables.
After coding the dataset using R and applying MCA using the indicator method, I have the results of the inertia percentages:

*

*11.6% for the first dimension and

*6.3% for the second dimension.

However, using the Burt method, I get

*

*44% for the first dimension and

*16% for the second dimension.

What is the difference between the two methods?
Which method should I be using for the interpretation of my results?

Would recommend you all to watch this video. Very illustrative with a concrete example :
https://www.youtube.com/watch?v=MyMr1Yn7ntQ
