The Influence of Personality Type (Extroversion vs Introversion) on Social Engagement

Authors

  • Novera Jamil Student, Department of Psychology, Forman Christian College (A Chartered University), Lahore, Punjab, Pakistan
  • Dr. Itrat Batool Naqvi Associate Professor, Department of Statistics, Forman Christian College (A Chartered University), Lahore, Punjab, Pakistan

DOI:

https://doi.org/10.35484/pssr.2026(10-I)20

Keywords:

Introversion, Extroversion, Social Engagement, Correlation, Logistic Regression

Abstract

This study aims to determine whether specific behaviors can significantly predict personality type using quantitative statistical methods and how do they correlate with each other. The study is limited to a secondary public dataset of college students. Personality can be classified into the extrovert and introvert categories, with their own specific patterns of behavior. Studies suggest that while behavioral differences are apparent across, situational factors can affect the expression of personality traits. This study can provide a quantitative basis for the link between social behaviors and personality type and provide context for further research into the lack of consistency among extroverts. A public dataset (N=2900) helped carry out a logistic regression and correlation analysis, with imputation used to analyze the predictors. The predictors included time spent alone and social engagement indicators. The dataset represents college students. Time alone strongly predicted introversion (β=0.121, p<0.001), while social engagement variables predicted extroversion, although their correlation was weaker compared to introverts. Future research can explore the reasons behind extrovert flexibility in context of social engagement. A prediction model can be created to determine personality type through data on social behaviors.

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Published

2026-02-25

Details

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How to Cite

Jamil, N., & Naqvi, I. B. (2026). The Influence of Personality Type (Extroversion vs Introversion) on Social Engagement. Pakistan Social Sciences Review, 10(1), 237–252. https://doi.org/10.35484/pssr.2026(10-I)20