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Entropy 2018, 20(3), 189; https://doi.org/10.3390/e20030189

An Investigation into the Relationship among Psychiatric, Demographic and Socio-Economic Variables with Bayesian Network Modeling

1
Department of Statistics, Bitlis Eren University, 13000 Bitlis, Turkey
2
Department of Statistics, Yildiz Technical University, 34349 Istanbul, Turkey
*
Author to whom correspondence should be addressed.
Received: 29 January 2018 / Revised: 6 March 2018 / Accepted: 9 March 2018 / Published: 12 March 2018
(This article belongs to the Special Issue Foundations of Statistics)
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Abstract

The aim of this paper is to investigate the factors influencing the Beck Depression Inventory score, the Beck Hopelessness Scale score and the Rosenberg Self-Esteem score and the relationships among the psychiatric, demographic and socio-economic variables with Bayesian network modeling. The data of 823 university students consist of 21 continuous and discrete relevant psychiatric, demographic and socio-economic variables. After the discretization of the continuous variables by two approaches, two Bayesian networks models are constructed using the b n l e a r n package in R, and the results are presented via figures and probabilities. One of the most significant results is that in the first Bayesian network model, the gender of the students influences the level of depression, with female students being more depressive. In the second model, social activity directly influences the level of depression. In each model, depression influences both the level of hopelessness and self-esteem in students; additionally, as the level of depression increases, the level of hopelessness increases, but the level of self-esteem drops. View Full-Text
Keywords: Bayesian networks; bnlearn; data discretization; Beck Depression Inventory; Beck Hopelessness Scale; Rosenberg Self-Esteem Scale Bayesian networks; bnlearn; data discretization; Beck Depression Inventory; Beck Hopelessness Scale; Rosenberg Self-Esteem Scale
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Bilek, G.; Karaman, F. An Investigation into the Relationship among Psychiatric, Demographic and Socio-Economic Variables with Bayesian Network Modeling. Entropy 2018, 20, 189.

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