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Negative Mentoring Experiences and Work- to-Nonwork Conflict: A Longitudinal Examination Lillian Turner de Tormes Eby University of Georgia Tanja C. Laschober University of Georgia
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OVERVIEW Organizational perceptions of support for work-family relates to WFC and other important outcomes (see Eby et al., 2005) Work-family support provided by supervisors also matters Consistently predicts WFC (Hammer et al., 2009; Thomas & Ganster, 1995) Relates to more favorable employee attitudes & behaviors (Mills et al., 2012; Odle-Dusseau & Bobko, 2012; Thomspon & Prottas, 2006) Less is known about how negative experiences with supervisors may spill over to affect employees’ nonwork lives Consistent finding that bad experiences have a stronger effect on individuals than do comparable good ones (Baumeister et al., 2001)
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OVERVIEW All relationships have positive and negative features (Huston & Burgess, 1979) Supervisory mentoring relationships are no exception (Eby, 2007) Research on abusive supervision Positively related to spouse undermining (Resubog et al., 2011) and hostility toward family members (Hoobler & Brass, 2006) Research on negative mentoring experiences Bad experiences are more predictive of protégé outcomes than are good experiences (Eby et al., 2010) Negative experiences relate to psychological distress (Eby et al., 2002, 2004)
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THE CURRENT STUDY Examines association between negative relational experiences in supervisory mentoring relationships and employee work-to-nonwork conflict Positive association is expected Both strain-based and time-based conflict are examined Investigates coworker support as a buffer Predict weaker association b/t negative mentoring and work- nonwork conflict when coworker support is higher Methodological strength is longitudinal design Examine both cross-sectional & lagged effects
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METHOD 364 employees working in health services industry 65% female, 63% non-Hispanic White, 45% married, 32% 1+ children living at home Survey administered on-site for 2 consecutive years > 80% response rate each year Multi-item measures of negative mentoring and coworker support in YR01 Multi-item measures of time-based and strain-based work-to-nonwork conflict in YR01 and YR02 All established measures with acceptable reliability (alphas >.80)
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RESULTS Correlation matrix Correlation matrix Moderated multiple regression controlling for gender, age, marital status, and parental status Cross-sectional findings Cross-sectional findings Negative mentoring in YR01 predicts both strain-based conflict ( β =.14, p<.05) and time-based conflict ( β =.15, p<05) in YR01 Longitudinal findings Longitudinal findings Negative mentoring in YR01 also predicts both strain-based conflict ( β =.12, p<.05) and time-based conflict ( β =.13, p<.05) in YR02
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RESULTS Interaction term (coworker support x negative mentoring) added unique variance to prediction of: YR01 strain-based and time-based work-to-nonwork conflict ( β =.15, p<.01 & β =.15, p<.01, respectively) YR02 strain-based and time-based work-to-nonwork conflict ( β =.15, p<.01 & β =.12, p<.05, respectively) Same pattern of results for both types of work-to-nonwork conflict across YR01 and YR02
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RESULTS When coworker support is higher, the positive relationship between negative mentoring and work-to-nonwork conflict is weaker
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DISCUSSION Negative mentoring experiences predict concurrent and subsequent strain-based and time- based work-to-nonwork conflict Initial evidence of spillover from problematic supervisory mentoring relationships to nonwork domain Suggests possibility of both immediate and longer-term effects Moderating effect of coworker support Consistent with the stress-buffering hypothesis Implications for mentoring research – can coworker support buffer other deleterious effects of negative mentoring?
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DISCUSSION Future research Experience sampling methodologies and cross-lagged panel designs Fine-grained examination of specific types of negative supervisory experiences that predict nonwork conflict Relative predictive power of positive and negative experiences with same supervisor Do other types of support (e.g., partner support, FSOP) also serve as buffers? Mediating mechanisms (e.g., anxiety, self-esteem, negative affect at work, rumination)
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IMPLICATIONS Leadership development Training on interpersonal & supervision skills Performance appraisal Address problems early in the relationship Provide “safe” venue for voicing concerns (e.g., mediation through HR or other management personnel) Training in conflict resolution skills Promote positive relationships among coworkers Leadership training on how to create positive social climate Consider work design and physical layout
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ACKNOWLEDGEMENTS This study was supported by Award Number R01DA019460 from the National Institute on Drug Abuse
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