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To the best of my understanding, the five factor model of personality comes from a factor analysis on a large list of adjectives that can be used to describe an individual's personality. It is validated, in some sense, by its usefulness in predicting behavior and life outcomes in a wide range of contexts.

It seems like something very similar could be done for emotion. I.e. list words describing a persons present state (angry, remorseful, sad, bitter, frustrated, etcetera) and do a factor analysis on those. Then, see if the resulting model (assuming that the analysis yields something useful) is predictive of shorter term / state dependent behavior.

Has any work like this been done?

user37344
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The recently published Atlas of personality, emotion and behaviour is possibly what you are looking for(Mobbs, 2020). Over 3,000 emotions are included in the analysis, a summary of which is below. The article has a more comprehensive version. The five factor model was derived through factorisation whereas the atlas was developed using a lexical/network approach.

References

Mobbs AED (2020) An atlas of personality, emotion and behaviour. PLOS ONE 15(1): e0227877. https://doi.org/10.1371/journal.pone.0227877

Declared Interest

I am the author of the atlas paper.

Tony Mobbs
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