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Information Seminar Paper

Title

Predicting students’ Corona Disease Anxiety based on the components of psychological capital (self-efficacy, hope, optimmism, resiliency)

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Abstract

 The aim of this study was to predict students' Corona Disease Anxiety based on the components of psychological capital. The applied method is descriptive-correlational. The statistical population includes students of Yasuj University in 2021, 162 of whom were recruited as the sample of the study. The data gathering procedure was done through Google forms, the links of which were shared with the participants through WhatsApp. Corona Disease Anxiety Scale (CDAS) and Luthans’ s psychological capital Questionnaire were used. Pearson correlation and multiple regression statistical methods were used and data were analyzed using SPSS 23 software. The results showed that among the components of psychological capital, selfefficacy, Hope and Resiliency have a negative and significant relationship with Corona Disease Anxiety. According to the results of this study, it is recommended to hold training courses to promote psychological capital to reduce Corona Disease Anxiety.

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    APA: Copy

    Jahanbakhsh Ganjeh, Sahar. (2022). Predicting students’ Corona Disease Anxiety based on the components of psychological capital (self-efficacy, hope, optimmism, resiliency). INTERNATIONAL CONFERENCE ON EDUCATIONAL SCIENCES, PSYCHOLOGY, SPORT SCIENCES AND PHYSICAL EDUCATION. SID. https://sid.ir/paper/949695/en

    Vancouver: Copy

    Jahanbakhsh Ganjeh Sahar. Predicting students’ Corona Disease Anxiety based on the components of psychological capital (self-efficacy, hope, optimmism, resiliency). 2022. Available from: https://sid.ir/paper/949695/en

    IEEE: Copy

    Sahar Jahanbakhsh Ganjeh, “Predicting students’ Corona Disease Anxiety based on the components of psychological capital (self-efficacy, hope, optimmism, resiliency),” presented at the INTERNATIONAL CONFERENCE ON EDUCATIONAL SCIENCES, PSYCHOLOGY, SPORT SCIENCES AND PHYSICAL EDUCATION. 2022, [Online]. Available: https://sid.ir/paper/949695/en

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