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      Authentic leadership and job satisfaction among long-term care nurses

      , , , ,
      Leadership in Health Services
      Emerald

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          Abstract

          Purpose

          The purpose of this study is to examine the effects of managers’ authentic leadership, person–job match in the six areas of worklife (AWLs) and emotional exhaustion on long-term care registered nurses’ job satisfaction.

          Design/methodology/approach

          A secondary analysis of baseline data from a national survey of 1,410 Canadian registered nurses from various work settings was used in this study, which yielded a subsample of 78 nurses working in direct care roles in long-term care settings. Hayes’ PROCESS macro for mediation analysis in SPSS was used to test the hypothesized model.

          Findings

          Findings showed that authentic leadership significantly predicted job satisfaction directly and indirectly through AWLs and emotional exhaustion.

          Practical implications

          Authentic leadership may provide guidance to long-term care managers about promoting nurses’ job satisfaction, which is essential to recruiting and retaining nurses to meet the care needs of an aging population.

          Originality/value

          As demand for care of the aged is increasing and creating challenges to ensuring a sufficient and sustainable nursing workforce, it is important to understand factors that promote long-term care nurses’ job satisfaction. Findings contribute to knowledge of long-term care nurses by suggesting that managers’ authentic leadership can positively affect nurses’ job satisfaction directly and indirectly through positive perceptions of AWLs and lower emotional exhaustion.

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          Most cited references58

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          Statistical power analyses using G*Power 3.1: tests for correlation and regression analyses.

          G*Power is a free power analysis program for a variety of statistical tests. We present extensions and improvements of the version introduced by Faul, Erdfelder, Lang, and Buchner (2007) in the domain of correlation and regression analyses. In the new version, we have added procedures to analyze the power of tests based on (1) single-sample tetrachoric correlations, (2) comparisons of dependent correlations, (3) bivariate linear regression, (4) multiple linear regression based on the random predictor model, (5) logistic regression, and (6) Poisson regression. We describe these new features and provide a brief introduction to their scope and handling.
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            Authentic Leadership: Development and Validation of a Theory-Based Measure 

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              Method Variance in Organizational Research: Truth or Urban Legend?

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                Author and article information

                Journal
                Leadership in Health Services
                LHS
                Emerald
                1751-1879
                1751-1879
                June 06 2020
                July 16 2020
                June 06 2020
                July 16 2020
                : 33
                : 3
                : 247-263
                Article
                10.1108/LHS-09-2019-0056
                df516db4-ea0e-4725-b7d6-52c045014da3
                © 2020

                https://www.emerald.com/insight/site-policies

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