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Study on the Relationship Between Eysenck Personality and Sleep Quality Based on Multiple Ordered Logistic Regression

  • Zhihan YangEmail author
  • Mengge Sun
  • Minghui Wang
Conference paper
  • 77 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 885)

Abstract

Firstly, this paper uses one-way analysis of variance to test sleep quality and two indexes of age and gender, and uses multivariate correlation analysis to test sleep quality and Eysenck’s personality. The result shows that age has a significant effect on the quality of sleep, while gender has no significant effect, and there is no strong correlation between the quality of sleep and each index of Eysenck’s personality. Based on this, we use the multiple ordinal logistic regression model to study the relationship between sleep quality and four indicators of Eysenck personality in different age groups. First of all, according to international standards, Eysenck’s personality and age are divided into 5 grades and 4 grades respectively. Then, we use the multiple logistic regression model to examine sleep quality and Eysenck personality index in different age groups. The result shows that the multiple ordinal logistic regression model can be used to examine the correlation between Eysenck personality and sleep quality effectively. In different age groups, reliability, psychoticism, nervousness and character have different effects on sleep quality. Moreover, with the increase of age, the influence of Eysenck personality on sleep quality shows a decreasing trend.

Keywords

Multiple logistic regression model One-way analysis of variance Correlation test 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Shandong Normal UniversityJinanChina

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