Data di Pubblicazione:
2020
Abstract:
The idea that individuals tend to choose a romantic partner following similarities on personality traits has always attracted much
attention in the psychological literature, although results were controversial. We conducted a new data analysis approach to
personality traits of 235 newlywed couples. Univariate analysis revealed that a neurotic husband is usually paired with a lesser
extrovert and open wife. To figure out if this mating selection pattern may be translated in a mathematical predictive model a
twofold approach was employed by using Partial Least Squares regression and machine learning algorithm. The experimental
results demonstrate that marital assortment for personality is a multi-trait complementarity process but these data are unable to
predict human mating.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Mate selection; Machine learning; Personality prediction
Elenco autori:
DE CANDITIIS, Daniela; Cerasa, Antonio; Cristiani, Emiliano
Link alla scheda completa:
Pubblicato in: