The data on the effective qualifications of teachers in medical sciences: An application of combined fuzzy AHP and fuzzy TOPSIS methods

In this data article, hybrid fuzzy Analytic Hierarchy Process (AHP) and fuzzy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) were used to prioritize the effective qualifications of teachers of medical courses at university from the viewpoint of students of allied medicine...

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Detalles Bibliográficos
Autores principales: Khoshi, Abolfazl, Shams Gooshki, Hossein, Mahmoudi, Norouz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Social Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6290377/
https://www.ncbi.nlm.nih.gov/pubmed/30761352
http://dx.doi.org/10.1016/j.dib.2018.10.165
Descripción
Sumario:In this data article, hybrid fuzzy Analytic Hierarchy Process (AHP) and fuzzy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) were used to prioritize the effective qualifications of teachers of medical courses at university from the viewpoint of students of allied medicine school in Tehran University of Medical Sciences in 2013–2014. To obtain data, 200 students of allied medicine school of Tehran University of Medical Sciences were selected using random sampling method, and surveyed according to Cochran׳s formula. Data collection tools were two research-based questionnaires divided to technical, professional and individual parts. Content validity was approved by the experts. Reliability was confirmed by calculating the Cronbach׳s alpha (α=0, 85) in order to measure the degree of internal cohesion.

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