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May personality influence the selection of life-long mate? A multivariate predictive model

Articolo
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
Autori di Ateneo:
CERASA ANTONIO
CRISTIANI EMILIANO
DE CANDITIIS DANIELA
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/410535
Pubblicato in:
CURRENT PSYCHOLOGY
Journal
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