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      Best Practices for Early Bystander Intervention Training on Workplace Intimate Partner Violence and Workplace Bullying

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          Abstract

          The purpose of this study was to gain consensus from experts on the best practices that might be taken into account when developing early bystander intervention training programs to reduce both workplace intimate partner violence (WIPV) and workplace bullying (WB). A U.S. nationwide panel of 17 experts completed the qualitative five-round modified Delphi study. The experts were leaders or managers from business, government, not-for-profit, and academic organizations who exceeded the criteria to participate in the study. Research included the collection of data electronically to answer the research question: What do experts with experience in the area of workplace violence (WV), WB, or WIPV agree constitute the best practices that might be considered when developing a bystander training program to address WIPV or WB? In Rounds 1 and 2, participants provided their demographics and initial opinions about best practices. Likert-type scales were used as follows: Round 3, to rate agreement about which statements constituted best practices; Round 4, to rank order statements from Round 3; and Round 5, to rate the importance of each statement. Results were analyzed for top best practices. Three themes emerged: leadership, training, and people involved in the incident. Findings indicated that senior management must be committed to lead the way; that victims, targets, and bystanders need to be protected, and confidentiality must be maintained. The study was based on the concept of altruism and empathy that humans show to others experiencing crisis or suffering. Practical implications showed a clear emphasis on the critical need for leadership as the foundation for reducing all forms of violence in the workplace; training should instruct staff in how to identify WV, WB, and WIPV, when to intervene, and how to get help; and ensure that victims are treated in a supportive and caring manner.

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          Most cited references42

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          The Delphi method as a research tool: an example, design considerations and applications

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            Putting the altruism back into altruism: the evolution of empathy.

            Evolutionary theory postulates that altruistic behavior evolved for the return-benefits it bears the performer. For return-benefits to play a motivational role, however, they need to be experienced by the organism. Motivational analyses should restrict themselves, therefore, to the altruistic impulse and its knowable consequences. Empathy is an ideal candidate mechanism to underlie so-called directed altruism, i.e., altruism in response to anothers's pain, need, or distress. Evidence is accumulating that this mechanism is phylogenetically ancient, probably as old as mammals and birds. Perception of the emotional state of another automatically activates shared representations causing a matching emotional state in the observer. With increasing cognition, state-matching evolved into more complex forms, including concern for the other and perspective-taking. Empathy-induced altruism derives its strength from the emotional stake it offers the self in the other's welfare. The dynamics of the empathy mechanism agree with predictions from kin selection and reciprocal altruism theory.
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              Sexual violence prevention through bystander education: An experimental evaluation

                Author and article information

                Journal
                Journal of Interpersonal Violence
                J Interpers Violence
                SAGE Publications
                0886-2605
                1552-6518
                June 2021
                October 25 2018
                June 2021
                : 36
                : 11-12
                : 5813-5837
                Affiliations
                [1 ]BJ Lassiter Enterprises LLC, Kissimmee, FL, USA
                [2 ]University of the Rockies, Colorado Springs, CO, USA
                [3 ]Walden University, Minneapolis, MN, USA
                Article
                10.1177/0886260518807907
                30358475
                c655ef07-f60d-4fb3-8467-b8564757b132
                © 2021

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

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