TY  - CONF
AU  - Mijatović, Luka
AU  - Jolić Marjanović, Zorana
AU  - Altaras Dimitrijević, Ana
PY  - 2022
UR  - http://rfasper.fasper.bg.ac.rs/handle/123456789/5162
AB  - Due to the restrictions imposed on social life during the COVID-19 pandemic, people of different
profiles experienced higher levels of loneliness. According to pre-pandemic research, individual
levels of loneliness are partly related to differences in personality, including both basic traits and
trait emotional intelligence (EI). The present study sought to examine whether trait EI also predicts
loneliness among university students in times of the pandemic, while also controlling for the basic
personality factors. Study participants were 301 university students (Nf = 278, Nm = 23) who completed the TEIQue, as a measure of trait EI and its four factors (i.e., Well-Being, Self-Control, Emotionality, and Sociability); the HEXACO PI-R, which assesses six major dimensions of personality (i.e., Honesty-Humility, Emotionality, Extraversion, Agreeableness, Conscientiousness, Openness to Experience); and the Revised UCLA Loneliness Scale, measuring general loneliness. The data were collected during a strict pandemic-related lockdown in Serbia in the spring of 2020.
A hierarchical regression model including the HEXACO personality factors (entered in Step 1)
and trait EI factors (entered in Step 2) as predictors, and loneliness as the criterion was tested. The
HEXACO personality set explained 41% of variance (F(6, 294) = 36.202, Adj.R2 = .413, p<.001) with Honesty-Humility (β = –.165, p<.001), Emotionality (β = –.177, p<.001), Extraversion (β = –.643, p<.001), Conscientiousness (β = .105, p<.05) and Oppeness (β = .113, p<.05) surfacing as significant predictors. In the second step, a further 9.7% of the variance in the criterion was explained (F(10, 290) = 31.683, Adj.R2 = .506, p<.001), and it was the trait EI factors of Well-Being (β = –.397, p<.001) and Sociability (β = –.134, p<.05) that contributed to the prediction.
Apart from confirming the incremental predictive power of trait EI in predicting loneliness over the
six personality dimensions of the HEXACO model, the present findings suggest that trait EI retained its role as a protective factor against loneliness during the first wave of the COVID-19 pandemic.
C3  - VIII International Congress on Emotional Intelligence, Book of Abstracts
T1  - Trait emotional intelligence as a predictor of loneliness during the covid-19 pandemic
EP  - 57
SP  - 56
DO  - https://doi.org/10.26387/ATTI_ICEI_2022
ER  - 

@conference{
author = "Mijatović, Luka and Jolić Marjanović, Zorana and Altaras Dimitrijević, Ana",
year = "2022",
abstract = "Due to the restrictions imposed on social life during the COVID-19 pandemic, people of different
profiles experienced higher levels of loneliness. According to pre-pandemic research, individual
levels of loneliness are partly related to differences in personality, including both basic traits and
trait emotional intelligence (EI). The present study sought to examine whether trait EI also predicts
loneliness among university students in times of the pandemic, while also controlling for the basic
personality factors. Study participants were 301 university students (Nf = 278, Nm = 23) who completed the TEIQue, as a measure of trait EI and its four factors (i.e., Well-Being, Self-Control, Emotionality, and Sociability); the HEXACO PI-R, which assesses six major dimensions of personality (i.e., Honesty-Humility, Emotionality, Extraversion, Agreeableness, Conscientiousness, Openness to Experience); and the Revised UCLA Loneliness Scale, measuring general loneliness. The data were collected during a strict pandemic-related lockdown in Serbia in the spring of 2020.
A hierarchical regression model including the HEXACO personality factors (entered in Step 1)
and trait EI factors (entered in Step 2) as predictors, and loneliness as the criterion was tested. The
HEXACO personality set explained 41% of variance (F(6, 294) = 36.202, Adj.R2 = .413, p<.001) with Honesty-Humility (β = –.165, p<.001), Emotionality (β = –.177, p<.001), Extraversion (β = –.643, p<.001), Conscientiousness (β = .105, p<.05) and Oppeness (β = .113, p<.05) surfacing as significant predictors. In the second step, a further 9.7% of the variance in the criterion was explained (F(10, 290) = 31.683, Adj.R2 = .506, p<.001), and it was the trait EI factors of Well-Being (β = –.397, p<.001) and Sociability (β = –.134, p<.05) that contributed to the prediction.
Apart from confirming the incremental predictive power of trait EI in predicting loneliness over the
six personality dimensions of the HEXACO model, the present findings suggest that trait EI retained its role as a protective factor against loneliness during the first wave of the COVID-19 pandemic.",
journal = "VIII International Congress on Emotional Intelligence, Book of Abstracts",
title = "Trait emotional intelligence as a predictor of loneliness during the covid-19 pandemic",
pages = "57-56",
doi = "https://doi.org/10.26387/ATTI_ICEI_2022"
}

Mijatović, L., Jolić Marjanović, Z.,& Altaras Dimitrijević, A.. (2022). Trait emotional intelligence as a predictor of loneliness during the covid-19 pandemic. in VIII International Congress on Emotional Intelligence, Book of Abstracts, 56-57.
https://doi.org/https://doi.org/10.26387/ATTI_ICEI_2022

Mijatović L, Jolić Marjanović Z, Altaras Dimitrijević A. Trait emotional intelligence as a predictor of loneliness during the covid-19 pandemic. in VIII International Congress on Emotional Intelligence, Book of Abstracts. 2022;:56-57.
doi:https://doi.org/10.26387/ATTI_ICEI_2022 .

Mijatović, Luka, Jolić Marjanović, Zorana, Altaras Dimitrijević, Ana, "Trait emotional intelligence as a predictor of loneliness during the covid-19 pandemic" in VIII International Congress on Emotional Intelligence, Book of Abstracts (2022):56-57,
https://doi.org/https://doi.org/10.26387/ATTI_ICEI_2022 . .