prediction of rehabilitation nurses’ psychological well-being by personality traits and defense mechanisms

prediction of rehabilitation nurses’ psychological well-being by personality traits and defense mechanisms

;Morteza Ghadimianfar;Asghar Dadkhah
annals of surgery 2015 Vol. 13 pp. 40-48
199
ghadimianfar2015iranianprediction

Abstract

Objectives: The purpose of the study is to predict the psychological well-being of nurses based on personality traits and defense mechanisms. Methods: The research method was correlational and the statistical population consisted of all married female nurses in hospitals of the Qom city. The sample size estimated by Tabachnik and Fidel method 114 and with Overestimate attain to 120 people. These individuals selected by cluster random sampling method. Data collected by Ryff's Scales of Psychological well-being (RSPWB), big five personality inventory short form (NEO FFI) and defense style questionnaire (DSQ-40). Data analyzed by Pearson correlation coefficient and multivariate regression by the use of SPSS software (V20). Results: Analysis of research data indicated that traits of extroversion (P  0.01), neuroticism (P  0.01), agreeableness (P 0.01), mature defensive style (P  0.01) and immature defense style (P  0.01) could explain variance of psychological well-being of nurses significantly. Discussion: Considering to the findings of this research can concluded that personality traits and defense styles be able to predict the psychological well-being significantly.

Citation

ID: 197449
Ref Key: ghadimianfar2015iranianprediction
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
197449
Unique Identifier:
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet