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The Association between Emotional Intelligence and Work Engagement in Frontline Nursing

<p> The purpose of this study was to assess the relationship between emotional intelligence and work engagement in the context of frontline nurses in acute care settings. The relationship between age, gender, years of experience, educational attainment, and specialization was investigated in relation to frontline nurses&rsquo; emotional intelligence and work engagement. This quantitative nonexperimental study was conceptualized to bridge a knowledge gap regarding the extent to which emotional intelligence and demographic factors are associated with work engagement in nursing. This study was based on theories concerning emotional intelligence and work engagement constructs. Participants included 142 frontline nurses working in an acute care setting within the United States. All data were gathered quantitatively using an online survey. The survey instrument included a compilation of two measurement scales (the Assessing Emotions Scale [AES] and the Utrecht Work Engagement Scale [UWES]) and a demographic questionnaire. The data analysis procedures included one-way analysis of variance, Spearman&rsquo;s <i> rho</i> correlations, independent <i>t</i>-tests, and multiple regression analysis. The results of the study revealed that there is no statistically significant correlation between age, gender, years of experience, educational attainment, and specialty with emotional intelligence. Moreover, the findings revealed that there was a statistically significant positive correlation between emotional intelligence and age with work engagement level among frontline nursing. There was no statistically significant correlation found between gender, years of experience, educational attainment, and specialty with work engagement. The study results provide a pathway for researchers to better understand nurse emotional intelligence and work engagement in relation to demographic variables.</p><p>

Identiferoai:union.ndltd.org:PROQUEST/oai:pqdtoai.proquest.com:13807083
Date27 March 2019
CreatorsTohemer, Mohammad
PublisherCapella University
Source SetsProQuest.com
LanguageEnglish
Detected LanguageEnglish
Typethesis

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