Publications

Authors:

Burro, Roberto; Raccanello, Daniela; Pasini, Margherita; Brondino, Margherita

Title:

An estimation of a nonlinear dynamic process using Latent Class extended Mixed Models: Affect profiles after terrorist attacks

Year:

2018

Type of item:

Articolo in Rivista

Tipologia ANVUR:

Articolo su rivista

Language:

Inglese

Referee:

Sì

Name of journal:

NONLINEAR DYNAMICS, PSYCHOLOGY AND LIFE SCIENCES

ISSN of journal:

1090-0578

N° Volume:

22

Number or Folder:

1

Page numbers:

35-52

Keyword:

Profiles, Terrorism, Affect, Personality traits, Vicarious exposure, Latent Class extended Mixed Models (LCMM)

Short description of contents:

Conceptualizing affect as a complex nonlinear dynamic process, we used Latent Class extended Mixed Models (LCMM) to understand whether there were unobserved groupings in a dataset including longitudinal measures. Our aim was to identify affect profiles over time in people vicariously exposed to terrorism, studying their relations with personality traits. The participants were 193 university students who completed online measures of affect during the seven days following two terrorist attacks (Paris, November 13, 2015; Brussels, March 22, 2016); Big Five personality traits; and antecedents of affect. After selecting students whose negative affect was influenced by the two attacks (33%), we analysed the data with the lcmm-package of R. We identified two affect profiles, characterized by different trends over time: The first profile comprised students with lower positive affect and higher negative affect compared to the second profile. Concerning personality traits, conscientiousness was lower for the first profile rather than for the second profile, and vice versa for neuroticism. Findings are discussed for both their theoretical and applied relevance.

Product ID:

97754

Handle IRIS:

11562/963478

Last Modified:

November 9, 2022

Bibliographic citation:

Burro, Roberto; Raccanello, Daniela; Pasini, Margherita; Brondino, Margherita, An estimation of a nonlinear dynamic process using Latent Class extended Mixed Models: Affect profiles after terrorist attacks «NONLINEAR DYNAMICS, PSYCHOLOGY AND LIFE SCIENCES» , vol. 22 , n. 1 , 2018 , pp. 35-52

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