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Dean B. McFarlin

Researcher at University of Dayton

Publications -  59
Citations -  6695

Dean B. McFarlin is an academic researcher from University of Dayton. The author has contributed to research in topics: Job satisfaction & Procedural justice. The author has an hindex of 31, co-authored 59 publications receiving 6443 citations. Previous affiliations of Dean B. McFarlin include University at Buffalo & Marquette University.

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Research Notes. Distributive and Procedural Justice as Predictors of Satisfaction with Personal and Organizational Outcomes

TL;DR: Distributive justice was found to be a more important predictor of two personal outcomes, pay satisfaction and job satisfaction, than procedural justice, whereas the reverse was true for two organi...
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Workers' evaluations of the "ends" and the "means": An examination of four models of distributive and procedural justice.

TL;DR: In this article, the authors compared four different models of the justice-employee reaction relationship and found that the two-factor model, which specifies that distributive justice predicts personal-level evaluations (e.g., pay satisfaction) and procedural justice affects organizational-level evaluation (i.e., organizational commitment), received the most support.
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Perceptions of mentor roles in cross-gender mentoring relationships☆

TL;DR: In this article, the authors compared perceptions of mentor roles in cross-and same-gender mentoring relationships and found that cross-gender proteges were less likely than same gender proteges to report engaging in after-work, social activities with their mentors.
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Process and outcome: gender differences in the assessment of justice

TL;DR: The authors studied the importance that women and men place on distributive and procedural justice and found that the relationship between distributive justice and several organizational outcomes (e.g., commitment, intent to stay) was stronger for men than women.
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Work—nonwork conflict and the perceived quality of life

TL;DR: In this article, the authors derived two hypotheses about the relationships among work and non-work conflict from survey data from a national probability sample of United States workers (n = 823) and showed that the direct paths between work-nonwork conflict and global life satisfaction were nonsignificant.