I am trying to make a decision making index using MCA. I am using 6 binary variables and the responses are whether the respondent makes these different decisions alone. I read once somewhere the MCA was a negative predictor and should be multiplied by -1, however, I cannot remember the source and have not been able to find it again. Is this true?

It does seem to work with this decision data and also my household wealth data, after predicting the value for 2 dimensions, then multiplying by -1, the highest values of the index correlate with those making the most decisions alone and vice versa.


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