Repository of Research and Investigative Information

Repository of Research and Investigative Information

Ilam University of Medical Sciences

Predict the Creativity of the Engineers of Kermanshah Engineering Organization Based on Their Personality Five Factors and Mental Health

Mon Sep 26 13:13:38 2022

(2017) Predict the Creativity of the Engineers of Kermanshah Engineering Organization Based on Their Personality Five Factors and Mental Health. Revista Administracao Em Dialogo. pp. 116-128. ISSN 2178-0080

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Abstract

Aim: The aim of this study was to predict the creativity of the engineers of Kermanshah Engineering Organization based on their personality and mental health factors. Method: This study was performed with Pearson correlation and multiple regressions, Cranach's Alpha coefficient, SPSS software version 20. A total of 375 engineers were selected based on Morgan table that completed 3 types of questionnaires: Torrance questionnaire (verbal section), (NEO-FFI) questionnaire and GHQ-28 questionnaire. The significant level in this study was considered as 0.05. This study was descriptive and correlation based. The sampling method was random. The study was a descriptive - correlative. Result: Correlation and regression analysis showed that there was a significant relationship between creativity (fluidity, flexibility, innovation, expansion) with five factors of personality (Neuroticism, Extraversion, Conscientiousness, Openness, Agreeableness) and mental health (physical symptoms, anxiety and insomnia, depression, social function). So regression analysis showed that personality factors (neuroticism, extraversion, flexibility) are better models to predict creativity.

Item Type: Article
Creators:
CreatorsEmail
Azami, S.UNSPECIFIED
Kaikhavani, S.UNSPECIFIED
Keywords: Creativity Personality Five Factors Mental Health Engineers Business & Economics
Divisions:
Page Range: pp. 116-128
Journal or Publication Title: Revista Administracao Em Dialogo
Journal Index: ISI
Volume: 19
Number: 2
Identification Number: https://doi.org/10.20946/rad.v19i2.33173
ISSN: 2178-0080
Depositing User: مهندس مهدی شریفی
URI: http://eprints.medilam.ac.ir/id/eprint/298

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