Exploring clusters of defense styles, psychiatric symptoms and academic achievements among medical students: a cross-sectional study in Pakistan
Abstract Objective The clusters of participants with a homogeneous psychological make-up can be identified using sophisticated machine learning techniques such as the two-step clustering algorithm. It can also help us to identify the synergistic and additive effects of a range of psychometric variab...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2018-11-01
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Series: | BMC Research Notes |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s13104-018-3876-6 |