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Conscientiousness, Public Service Motivation, Resilience, and Work Engagement among Volunteers in Lebanon.

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Title: Conscientiousness, Public Service Motivation, Resilience, and Work Engagement among Volunteers in Lebanon.
Authors: Mreydem, Hussein (AUTHOR), Kamal Eddine, Issa (AUTHOR), Hojeij, Moussa (AUTHOR), Lee, Han Sung (AUTHOR), Salameh, Pascale (AUTHOR), Chung, Seockhoon (AUTHOR)
Source: Psychiatric Quarterly. Mar2025, Vol. 96 Issue 1, p227-240. 14p.
Subjects: Cognitive psychology, Social media, Personality, Job involvement, Volunteer recruitment, Five-factor model of personality
Abstract: We conducted a descriptive-analytical cross-sectional study using an online survey to explore the personality traits of volunteers in Lebanon and examine their relationship with work engagement, psychological status, resilience, and public service motivation. A total of 270 volunteers were recruited through social media platforms. The survey included general questions about volunteering, Utrecht Work Engagement Scale-9 items (UWES-9), the Big Five Personality Inventory-10 (BFPI-10), the Patient Health Questionnaire-9 (PHQ-9), the Generalized Anxiety Disorder-7 (GAD-7), the Public Service Motivation (PSM), and the Connor-Davidson Resilience Scale-2 (CD-RISC2). The results revealed that agreeableness and conscientiousness levels were significantly lower among volunteers with low work engagement compared to those with high work engagement. Work engagement was positively correlated with agreeableness and conscientiousness and negatively correlated with neuroticism. Logistic regression showed that being single with a low level of conscientiousness, public service motivation, and resilience predicted low work engagement. Mediation analysis showed that conscientiousness, public service motivation, and resilience directly influenced work engagement, and depression mediated the relationship of conscientiousness and resilience with work engagement. This study highlights the importance of personality traits, mental health, and motivation in understanding work engagement among volunteers, which can help in designing strategies to enhance volunteers' experiences, well-being, and productivity. [ABSTRACT FROM AUTHOR]
Copyright of Psychiatric Quarterly is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Conscientiousness, Public Service Motivation, Resilience, and Work Engagement among Volunteers in Lebanon.
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  Data: <searchLink fieldCode="AR" term="%22Mreydem%2C+Hussein%22">Mreydem, Hussein</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kamal+Eddine%2C+Issa%22">Kamal Eddine, Issa</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hojeij%2C+Moussa%22">Hojeij, Moussa</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lee%2C+Han+Sung%22">Lee, Han Sung</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Salameh%2C+Pascale%22">Salameh, Pascale</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chung%2C+Seockhoon%22">Chung, Seockhoon</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Psychiatric+Quarterly%22">Psychiatric Quarterly</searchLink>. Mar2025, Vol. 96 Issue 1, p227-240. 14p.
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  Data: <searchLink fieldCode="DE" term="%22Cognitive+psychology%22">Cognitive psychology</searchLink><br /><searchLink fieldCode="DE" term="%22Social+media%22">Social media</searchLink><br /><searchLink fieldCode="DE" term="%22Personality%22">Personality</searchLink><br /><searchLink fieldCode="DE" term="%22Job+involvement%22">Job involvement</searchLink><br /><searchLink fieldCode="DE" term="%22Volunteer+recruitment%22">Volunteer recruitment</searchLink><br /><searchLink fieldCode="DE" term="%22Five-factor+model+of+personality%22">Five-factor model of personality</searchLink>
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  Data: We conducted a descriptive-analytical cross-sectional study using an online survey to explore the personality traits of volunteers in Lebanon and examine their relationship with work engagement, psychological status, resilience, and public service motivation. A total of 270 volunteers were recruited through social media platforms. The survey included general questions about volunteering, Utrecht Work Engagement Scale-9 items (UWES-9), the Big Five Personality Inventory-10 (BFPI-10), the Patient Health Questionnaire-9 (PHQ-9), the Generalized Anxiety Disorder-7 (GAD-7), the Public Service Motivation (PSM), and the Connor-Davidson Resilience Scale-2 (CD-RISC2). The results revealed that agreeableness and conscientiousness levels were significantly lower among volunteers with low work engagement compared to those with high work engagement. Work engagement was positively correlated with agreeableness and conscientiousness and negatively correlated with neuroticism. Logistic regression showed that being single with a low level of conscientiousness, public service motivation, and resilience predicted low work engagement. Mediation analysis showed that conscientiousness, public service motivation, and resilience directly influenced work engagement, and depression mediated the relationship of conscientiousness and resilience with work engagement. This study highlights the importance of personality traits, mental health, and motivation in understanding work engagement among volunteers, which can help in designing strategies to enhance volunteers' experiences, well-being, and productivity. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Psychiatric Quarterly is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: Mar2025
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