University of Tennessee at Chattanooga
Work-family balance and religion: a resource based perspective
Abstract
dc:description.abstractIt is increasingly recognized that work and family roles do not represent fully separate life domains (Voydanoff, 2004). This is one reason, why occupational health researchers and practitioners are working to understand and facilitate balance between work and nonwork roles. Most existing literature defines interrole balance by emphasizing work and family roles alone; unfortunately, this narrow focus prevents us from recognizing individuals’ engagements in many other roles that may also influence one’s balance. The present study was designed to expand our thinking about work-nonwork role balance by presenting and testing a model that incorporates a third important role, involvement in an organized religion. Specifically, religious involvement, among Hindus living in the United States, as a predictor of resource gain and loss was examined. Working within a Conversation of Resources framework, it was then expected that this resource gain/loss would influence coping strategies, and perceptions of bi- directional work-family conflict and facilitation (indicators of work-family balance; Frone, 2003). Results indicated that degree of religious involvement is a significant predictor of resource gain, specifically negative involvement was found to be negatively related to resource gain. In addition, resource gain was found to be significantly related to work-family facilitation, both directly and via active coping.
Degree
thesis:*- Grantor dc:publisher
- University of Tennessee at Chattanooga
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
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- Patel, Shivani Praful
- Contributors dc:contributor
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- Cunningham, Christopher J. L.
- Weathington, Bart L.; Watson, Paul J.
- College of Arts and Sciences
Subjects
dc:subject × 1Rights
dc:rights- Language dc:language
- English, eng
Identifiers
dc:identifier.*- Repository record dc:identifier
- https://scholar.utc.edu/theses/358
- OAI identifier oai:identifier
- oai:scholar.utc.edu:theses-1498