Payame Noor University Social Cognition 2322-3782 11 21 2022 05 22 Predicting the Covid- 19 Vaccine Acceptance Based on Death Anxiety, Social Capital and Superstitious Predicting the Covid- 19 Vaccine Acceptance Based on Death Anxiety, Social Capital and Superstitious 69 78 9358 10.30473/sc.2023.64662.2774 FA Babak Bahreinipour Master of Clinical Psychology, Ahvaz Azad University, Amirkabir Petrochemical, Mahshahr, Khuzestan, Iran Yadollah Zargar Associate professor, department of counseling, Hazrat-e Masoumeh University, Qom, Iran Amin Koraei Assistant Professor, Department of Psychology, School of educational Sciences and Psychology, Azarbaijan Shahid Madani University, Tabriz, Iran Journal Article 2022 07 02 Introduction: The present study aims to predict the acceptance of the Covid-19 vaccine based on death anxiety, social capital, and superstition. Method: The research population included all the people who were eligible to receive the vaccine in the summer and fall of 1400, out of which there were 150 people in two groups including people over 18 years of age who were willing to receive various types of Covid- 19 vaccines (75 people) and the people who did not want to accept it (75 people) were selected as the research sample using the purposeful sampling method. The participants were asked to respond to Templer's Death Anxiety Scale (1970), Delaware's Social Capital Questionnaire (1384), and Azizkhani's Superstition Tendency Questionnaire (1392). In addition to descriptive statistics, discriminant analysis was used for data analysis. Findings: The results obtained with the simultaneous discriminant analysis method confirmed the research hypothesis of predicting the acceptance of the Covid-19 vaccine based on death anxiety, social capital and superstition (prediction coefficient equal to 0.65). Also, the results of the discriminant analysis with the step-by-step method showed that the two variables of social capital, and superstition are the strongest predictors of accepting or not accepting the Covid-19 vaccine (prediction coefficient equal to 0.64). Conclusion: The results indicate the predictive role of all three variables of death anxiety, social capital, and superstition in accepting or rejecting the Covid-19 vaccine, which plays an important role in improving the health of society. The findings were discussed in detail. Introduction: The present study aims to predict the acceptance of the Covid-19 vaccine based on death anxiety, social capital, and superstition. Method: The research population included all the people who were eligible to receive the vaccine in the summer and fall of 1400, out of which there were 150 people in two groups including people over 18 years of age who were willing to receive various types of Covid- 19 vaccines (75 people) and the people who did not want to accept it (75 people) were selected as the research sample using the purposeful sampling method. The participants were asked to respond to Templer's Death Anxiety Scale (1970), Delaware's Social Capital Questionnaire (1384), and Azizkhani's Superstition Tendency Questionnaire (1392). In addition to descriptive statistics, discriminant analysis was used for data analysis. Findings: The results obtained with the simultaneous discriminant analysis method confirmed the research hypothesis of predicting the acceptance of the Covid-19 vaccine based on death anxiety, social capital and superstition (prediction coefficient equal to 0.65). Also, the results of the discriminant analysis with the step-by-step method showed that the two variables of social capital, and superstition are the strongest predictors of accepting or not accepting the Covid-19 vaccine (prediction coefficient equal to 0.64). Conclusion: The results indicate the predictive role of all three variables of death anxiety, social capital, and superstition in accepting or rejecting the Covid-19 vaccine, which plays an important role in improving the health of society. The findings were discussed in detail. https://sc.journals.pnu.ac.ir/article_9358_82f53df273d9b08062cc373817873135.pdf