Objective: Assuming personality to be a system of intra-individual processes emerging over time in interaction with the environment, we propose an idiographic approach to investigate potential changes of intra-individual dynamics in the perception of situations and emotions of individuals varying in personality traits. We compared the semiparametric time-varying autoregressive model (TV-AR) that takes into account the non-stationarity of psychological processes at the individual level, with the standard AR model. Method: We conducted analyses of individual time series to assess intra-individual changes in mean levels and inertia on data from two adolescents who completed measures of personality and indicated their situation perceptions and emotions five times a day for 19 days. Results: For the less honest, emotional, extraverted, and more agreeable adolescent, the TV-AR model detected reliable changes in the intra-individual dynamics of situation perceptions and emotions whereas, for the other individual, the standard AR model was more preferred, given the lack of changes in the intra-individual dynamics. Conclusions: Psychological processes dynamics in situation perception and emotions may vary from person to person depending on their personality. This work constitutes a first step in demonstrating that an idiographic approach has advantages in identifying changes in individuals' perceptions and reactions to situations.

Casini, E., Richetin, J., Preti, E., Bringmann, L. (2020). Using the time-varying vector autoregressive model to study dynamic changes in situation perceptions and emotional reactions. JOURNAL OF PERSONALITY, 88(4), 806-821 [10.1111/jopy.12528].

Using the time-varying vector autoregressive model to study dynamic changes in situation perceptions and emotional reactions

Casini, E
;
Richetin, J;Preti, E;
2020

Abstract

Objective: Assuming personality to be a system of intra-individual processes emerging over time in interaction with the environment, we propose an idiographic approach to investigate potential changes of intra-individual dynamics in the perception of situations and emotions of individuals varying in personality traits. We compared the semiparametric time-varying autoregressive model (TV-AR) that takes into account the non-stationarity of psychological processes at the individual level, with the standard AR model. Method: We conducted analyses of individual time series to assess intra-individual changes in mean levels and inertia on data from two adolescents who completed measures of personality and indicated their situation perceptions and emotions five times a day for 19 days. Results: For the less honest, emotional, extraverted, and more agreeable adolescent, the TV-AR model detected reliable changes in the intra-individual dynamics of situation perceptions and emotions whereas, for the other individual, the standard AR model was more preferred, given the lack of changes in the intra-individual dynamics. Conclusions: Psychological processes dynamics in situation perception and emotions may vary from person to person depending on their personality. This work constitutes a first step in demonstrating that an idiographic approach has advantages in identifying changes in individuals' perceptions and reactions to situations.
Articolo in rivista - Articolo scientifico
dynamic modeling, idiographic, non-stationarity, time-varying autoregressive model;
English
30-nov-2019
2020
88
4
806
821
none
Casini, E., Richetin, J., Preti, E., Bringmann, L. (2020). Using the time-varying vector autoregressive model to study dynamic changes in situation perceptions and emotional reactions. JOURNAL OF PERSONALITY, 88(4), 806-821 [10.1111/jopy.12528].
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/278556
Citazioni
  • Scopus 3
  • ???jsp.display-item.citation.isi??? 3
Social impact