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If the data is a roughly uniform distribution across the dimension space, then yes absolutely. If, however, there is significant clustering within the dimensio
by pfannkuchen 2y ago
If the data is a roughly uniform distribution across the dimension space, then yes absolutely.
If, however, there is significant clustering within the dimension space, and those clusters are taken as groups, then it seems valid.
I would tend to be generous to the researchers and assume a mostly discrete clustering until I see otherwise. To apply grouping like this without discrete clusters would be unprofessionally naive on their part.
- kobenni 2y agoThe distribution of the data is also the main problem with MBTI, AFAIK. Intra-/extraversion for example have a unimodal distribution with most people being somewhere in the middle. And exactly that middle is where MBTI makes the cut on their classification.
- kelseyfrog 2y agoThis is a great point. We have a generally tendency to typify in binary[black and white] terms. It overrides our ability to express nuance and un this case pushed out a larger category (if we even wanted to still categorize) of ambiverts. MBTI speaks more on our drive for categorization than it does on the people being categorized.