Exploring clusters of defense styles, psychiatric symptoms and academic achievements among medical students: a cross-sectional study in Pakistan

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 variables. The...

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Detalles Bibliográficos
Autores principales: Waqas, Ahmed, Naveed, Sadiq, Aedma, Kapil Kiran, Tariq, Maryam, Afzaal, Tayyaba
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6211464/
https://www.ncbi.nlm.nih.gov/pubmed/30382879
http://dx.doi.org/10.1186/s13104-018-3876-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6211464/
https://www.ncbi.nlm.nih.gov/pubmed/30382879
http://dx.doi.org/10.1186/s13104-018-3876-6

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