J
Julie Fitness
Researcher at Macquarie University
Publications - 76
Citations - 3042
Julie Fitness is an academic researcher from Macquarie University. The author has contributed to research in topics: Emotional intelligence & Emotion work. The author has an hindex of 25, co-authored 75 publications receiving 2840 citations. Previous affiliations of Julie Fitness include University of Canterbury.
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Journal ArticleDOI
Anger in the workplace: An emotion script approach to anger episodes between workers and their superiors, co-workers and subordinates
TL;DR: This article investigated laypeople's accounts of the causes, features, and consequences of workplace anger episodes and examined similarities and differences among superiors', co-workers' and subordinates' anger experiences.
BookDOI
Knowledge structures in close relationships : a social psychological approach
TL;DR: In this article, the authors present an overview of the relationship knowledge structures in close relationships and their relationship lay theories, including attachment styles and internal working models of self and relationship partners.
Journal ArticleDOI
When Hurt Will Not Heal Exploring the Capacity to Relive Social and Physical Pain
TL;DR: An important distinction between social and physical pain is examined: Individuals can relive and reexperience social pain more easily and more intensely than physical pain.
Journal ArticleDOI
Moral hypervigilance: the influence of disgust sensitivity in the moral domain.
Andrew Jones,Julie Fitness +1 more
TL;DR: It is proposed that highly disgust-sensitive individuals would be particularly repelled by exposure to transgressors and, consequently, would think and behave in ways aimed at reducing the risk of such exposure occurring--a syndrome the authors call moral hypervigilance.
Journal ArticleDOI
Love, hate, anger, and jealousy in close relationships: a prototype and cognitive appraisal analysis
TL;DR: This paper made a prototype and cognitive appraisal analysis of four emotions within marriage, including love, hate, anger, envy, and jealousy, and found that adding such information significantly increased emotion-matching accuracy over the event-description-only condition.