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An investigation of the mediators be...

Craig, Jayne.

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An investigation of the mediators between social support and hope in women diagnosed with breast cancer.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	An investigation of the mediators between social support and hope in women diagnosed with breast cancer./
作者:	Craig, Jayne.
面頁冊數:	124 p.
附註:	Source: Dissertation Abstracts International, Volume: 66-04, Section: B, page: 1977.
Contained By:	Dissertation Abstracts International66-04B.
標題:	Health Sciences, Nursing. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3170748
ISBN:	9780542070068

An investigation of the mediators between social support and hope in women diagnosed with breast cancer.
Craig, Jayne.

An investigation of the mediators between social support and hope in women diagnosed with breast cancer. - 124 p.

Source: Dissertation Abstracts International, Volume: 66-04, Section: B, page: 1977.

Thesis (Ph.D.)--Rutgers The State University of New Jersey - Newark, 2005.

The research examined hope in a sample of women diagnosed with breast cancer in relationship to three independent variables of (a) social support, (b) resilience, and (c) self-esteem. Additionally, the study examined the relationship between social support and the dependent variables of resilience and self-esteem. Then, two alternate mediation models were tested to help explain the relationship between social support and hope in women with breast cancer. In Model I, resilience was tested as the mediation variable in the relationship between social support and hope, and, in Model II, self-esteem was tested as the mediation variable.

ISBN: 9780542070068Subjects--Topical Terms:

1017798
Health Sciences, Nursing.

An investigation of the mediators between social support and hope in women diagnosed with breast cancer.
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245 1 3 $a An investigation of the mediators between social support and hope in women diagnosed with breast cancer.
300 $a 124 p.
500 $a Source: Dissertation Abstracts International, Volume: 66-04, Section: B, page: 1977.
500 $a Director: Adela Yarcheski.
502 $a Thesis (Ph.D.)--Rutgers The State University of New Jersey - Newark, 2005.
520 $a The research examined hope in a sample of women diagnosed with breast cancer in relationship to three independent variables of (a) social support, (b) resilience, and (c) self-esteem. Additionally, the study examined the relationship between social support and the dependent variables of resilience and self-esteem. Then, two alternate mediation models were tested to help explain the relationship between social support and hope in women with breast cancer. In Model I, resilience was tested as the mediation variable in the relationship between social support and hope, and, in Model II, self-esteem was tested as the mediation variable.
520 $a The research design was a correlation study. A convenience sample of 137 women diagnosed with breast cancer, aged 40--70 years, was obtained by visiting support groups. Participants completed the Demographic Data Sheet and four instruments: (a) The Herth Hope Index, (b) The PRQ-85 Part 2, (c) The Resilience Scale, and (d) The Rosenberg Self-Esteem Scale.
520 $a Positive correlations were found between hope and the independent variables of social support (r = .66, p < .001), and resilience (r = .72, p < .001), and self-esteem (r = .45, p < .001). Positive correlations were found between social support and the dependent variables of resilience (r = .55, p < .001) and self-esteem (r = .43, p = .001). Regression analyses was used to test the mediation Models I and II. Results indicated that neither resilience nor self-esteem were mediators in the relationship between social support and hope, given that the relationship between social support and hope remained statistically significant in the analyses.
520 $a The testing of these theorized relationships added to nursing knowledge for women with breast cancer. Since neither of the mediation models helped to explain the relationship between social support and hope in women with breast cancer, it may be worthwhile to examine other variables that may help to explain this relationship.
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