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The Big Five as Predictors of Behavi...
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Greene, Alicia Mae.
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The Big Five as Predictors of Behavioral Health Professional Burnout.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
The Big Five as Predictors of Behavioral Health Professional Burnout./
作者:
Greene, Alicia Mae.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2017,
面頁冊數:
177 p.
附註:
Source: Dissertation Abstracts International, Volume: 78-08(E), Section: B.
Contained By:
Dissertation Abstracts International78-08B(E).
標題:
Clinical psychology. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10257090
ISBN:
9781369570915
The Big Five as Predictors of Behavioral Health Professional Burnout.
Greene, Alicia Mae.
The Big Five as Predictors of Behavioral Health Professional Burnout.
- Ann Arbor : ProQuest Dissertations & Theses, 2017 - 177 p.
Source: Dissertation Abstracts International, Volume: 78-08(E), Section: B.
Thesis (Ph.D.)--Walden University, 2017.
While the majority of studies appeared to focus on health service workers and job satisfaction, there was a substantial lack of literature that explored the relationship of personality traits and burnout specific to behavioral health professionals. Research has indicated that behavioral health professional burnout is a mediating factor in early job exodus primarily due to highly interactive work with people. The purpose of this study was to consider the relationship between behavioral health professional burnout, as measured by the Maslach Burnout Inventory for Health and Human Service workers, and the big five personality traits, as measured by the NEO Five Factor Inventory. This multiple regression study evaluated 305 behavioral health professionals who were currently licensed and practicing in the Commonwealth of Kentucky and Ohio. Results of the study yielded a significant correlation between behavioral health professional burnout and personality traits. The more extraverted, open, agreeable, and conscientious behavioral health professionals are, the less likely they are to experience burnout. The more narcissistic behavioral health professionals are, the more likely they are to experience burnout. In addition, age significantly correlated to behavioral health professional burnout. As age increased, burnout potential decreased. The implications for social change include potential use at the organizational level to implement policy changes, such as regular or preburnout screenings, in order to prevent early exodus from the behavioral health field and increase positive patient outcomes.
ISBN: 9781369570915Subjects--Topical Terms:
524863
Clinical psychology.
The Big Five as Predictors of Behavioral Health Professional Burnout.
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While the majority of studies appeared to focus on health service workers and job satisfaction, there was a substantial lack of literature that explored the relationship of personality traits and burnout specific to behavioral health professionals. Research has indicated that behavioral health professional burnout is a mediating factor in early job exodus primarily due to highly interactive work with people. The purpose of this study was to consider the relationship between behavioral health professional burnout, as measured by the Maslach Burnout Inventory for Health and Human Service workers, and the big five personality traits, as measured by the NEO Five Factor Inventory. This multiple regression study evaluated 305 behavioral health professionals who were currently licensed and practicing in the Commonwealth of Kentucky and Ohio. Results of the study yielded a significant correlation between behavioral health professional burnout and personality traits. The more extraverted, open, agreeable, and conscientious behavioral health professionals are, the less likely they are to experience burnout. The more narcissistic behavioral health professionals are, the more likely they are to experience burnout. In addition, age significantly correlated to behavioral health professional burnout. As age increased, burnout potential decreased. The implications for social change include potential use at the organizational level to implement policy changes, such as regular or preburnout screenings, in order to prevent early exodus from the behavioral health field and increase positive patient outcomes.
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