Individual Differences in Happiness Variability: A Latent Class Growth Modeling Approach Using Longitudinal Data from Undergraduates

권유리; 최인철; 최종안

doi:10.21193/kjspp.2019.33.3.002

Korean Journal of Social and Personality Psychology

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Vol.33 No.3

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Individual Differences in Happiness Variability: A Latent Class Growth Modeling Approach Using Longitudinal Data from Undergraduates

Korean Journal of Social and Personality Psychology / Korean Journal of Social and Personality Psychology, (P)1229-0653;

2019, v.33 no.3, pp.21-42

https://doi.org/10.21193/kjspp.2019.33.3.002

& (2019). Individual Differences in Happiness Variability: A Latent Class Growth Modeling Approach Using Longitudinal Data from Undergraduates. Korean Journal of Social and Personality Psychology, 33(3), 21-42, https://doi.org/10.21193/kjspp.2019.33.3.002

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Abstract

The current research aimed to explore whether and how happiness varied. While previous studies mainly focused on either the stability of happiness or the variability of happiness, we took into account the possibility that there might be differences in the patterns of variability in happiness and investigated whether happiness varied in different patterns among different people. To this end, we conducted a series of latent class growth modeling analyses with longitudinal data collected from undergraduates for three years (N = 219). The results showed that there were three different subgroups in terms of patterns of happiness change: increasing vs. stable vs. decreasing. Subsequently, the results of logistic regression analyses indicated that a few demographic variables (i.e., age and major) and Big Five traits (i.e., extroversion, emotional stability, and conscientiousness) could predict the patterns of happiness change. We discussed the implications and limitations of the current research.

keywords: happiness, stability, variability, longitudinal study, latent class growth model, 행복, 안정성, 변동성, 개인차, 종단 연구, 잠재계층성장모형

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Article Contents

Vol.33 No.3

Individual Differences in Happiness Variability: A Latent Class Growth Modeling Approach Using Longitudinal Data from Undergraduates

Abstract

Reference

Korean Journal of Social and Personality Psychology