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      Examining the Influence of Work–Family Conflict on Job Stress, Job Satisfaction, and Organizational Commitment Among Correctional Officers

      1 , 2
      Criminal Justice Review
      SAGE Publications

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          Abstract

          Correctional officers perform a unique job that can lead to various negative outcomes. Understanding factors that can have harmful effects on important organizational attitudes like job stress, job satisfaction, and organizational commitment is imperative for the effective management of correctional institutions. Using survey data from 641 correctional officers employed at two Southwestern state-run prison facilities, the current study examines the influence of two measures of work–family conflict (WFC, strain- and time- based) on job stress, job satisfaction, and organizational commitment while controlling for many known antecedents of these variables. The results suggest that strain-based conflict is a significant predictor of job stress and job satisfaction, while time-based conflict only predicted job satisfaction. Neither measure of WFC had a significant relationship with organizational commitment. These findings are further contextualized in the discussion section with an emphasis on potential policy implications.

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            The measurement of experienced burnout

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              Role Conflict and Ambiguity in Complex Organizations

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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                Criminal Justice Review
                Criminal Justice Review
                SAGE Publications
                0734-0168
                1556-3839
                March 2020
                July 18 2019
                March 2020
                : 45
                : 1
                : 5-25
                Affiliations
                [1 ]California State University, Long Beach, CA, USA
                [2 ]University of Nevada Reno, Reno, NV, USA
                Article
                10.1177/0734016819863099
                d647822b-00d5-4312-83f4-d7f7453b08e3
                © 2020

                http://journals.sagepub.com/page/policies/text-and-data-mining-license

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