Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Understanding the Relationship between Extraversion and Life Satisfaction, with Special Emphasis on the Interaction with Age

Version 1 : Received: 17 June 2023 / Approved: 19 June 2023 / Online: 19 June 2023 (04:16:37 CEST)

How to cite: Bittmann, F. Understanding the Relationship between Extraversion and Life Satisfaction, with Special Emphasis on the Interaction with Age. Preprints 2023, 2023061283. https://doi.org/10.20944/preprints202306.1283.v1 Bittmann, F. Understanding the Relationship between Extraversion and Life Satisfaction, with Special Emphasis on the Interaction with Age. Preprints 2023, 2023061283. https://doi.org/10.20944/preprints202306.1283.v1

Abstract

For a long time, there has been interest in the relationship between personality traits and life satisfaction. However, many previous studies suffer from small sample sizes or selective sampling, sometimes leading to biased or imprecise results. The current study, which focuses on the trait of extraversion, attempts to overcome these limitations by using a large-scale German survey of more than 40,000 individuals aged 10 to 72. As the descriptive and regression results clearly show, there is a statistically significant relationship between extraversion and several dimensions of current life satisfaction. Depending on the type of satisfaction, the unstandardized regression coefficients range from 0.18 to 0.33. To gain further insight, age is added as an explanatory variable to test whether these associations change as a person ages. The results show that the effect sizes sometimes differ by age but remain robust and statistically significant. In conclusion, the study adds to the literature by providing convincing evidence that extraversion and life satisfaction are positively associated, at least in Western and industrialized countries, and that there are interaction effects with age.

Keywords

extraversion; age; life satisfaction; happiness; well being; correlation analysis; regression analysis; functional form

Subject

Social Sciences, Psychology

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