Prediction of death anxiety based on dark dimensions of personality and ambiguity tolerance with the mediation of stress resilience

Document Type : Research Paper

Authors

1 PhD Student in Counseling, Department of Educational Sciences and Counseling, North Tehran Branch, Islamic Azad University, Tehran, Iran

2 Associate Professor, Department of Psychology, Faculty of Social and Cultural Sciences, Imam Hossein University (AS), Tehran, Iran.

3 Assistant Professor, Department of Psychology, Faculty of Social and Cultural Sciences, Imam Hossein University (AS), Tehran, Iran.

Abstract

This research aims to design and present a structural model for predicting death anxiety based on the dark dimensions of personality and ambiguity tolerance with the mediation of resilience against stress. This research is based on the objective criteria in the applied research group, based on the data collection time criterion in the survey research group, based on the nature of data criteria and the basis of the research is a quantitative research. The statistical population of this research includes female nurses of special care units. The sample size in this research is equal to 212 people using Spss Sample Power sampling software and the sampling method in this research is multi-stage cluster sampling. The tool for collecting information in this research is a questionnaire of 4 standard questionnaires (Jenison and Wister's (2010) dark dimensions of personality, Weden et al.'s (2003), Conover-Davidson's resilience (2003), Templer's death anxiety (1970)), analysis tools And the data analysis of this research is Spss statistical software and Amos structural equation modeling software. The reliability of this research tool has been confirmed using Cronbach's alpha test for the variable of dark dimensions of personality (0.73), for uncertainty tolerance (0.77), for resilience (0.79) and death anxiety (0.72). In order to determine the presence or absence of a relationship between the variables and to estimate and generalize the results obtained from the sample size to the statistical population, a mediation model and a simple regression model with a hidden variable have been used to evaluate the research hypotheses.

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Medical Journal of Mashhad university of Medical Sciences
Volume 67, Issue 6
January and February 2025
Pages 1757-1776

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