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ReserarchID
17B0N
The purpose of this research was to examine the predictive role of attachment styles on loneliness and depression. The sample consisted of 652 (313 females; 339 males) university students. Data were collected by using the relationship scales questionnaire, UCLA-R loneliness scale, and Beck depression inventory. To analyze data, Pearson product-moment correlation analysis and multiple regression analysis was employed. Attachment styles were found to be significantly correlated to loneliness and depression. A significant relationship was also found between loneliness and depression. A significant effect of attachment styles on loneliness and depression was detected.
Dr. Kasomo Daniel. 2013. \u201cLoneliness and Depression among University Students in Kenya\u201d. Global Journal of Human-Social Science - A: Arts & Humanities GJHSS-A Volume 13 (GJHSS Volume 13 Issue A4): .
Crossref Journal DOI 10.17406/GJHSS
Print ISSN 0975-587X
e-ISSN 2249-460X
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Total Score: 101
Country: Kenya
Subject: Global Journal of Human-Social Science - A: Arts & Humanities
Authors: Kasomo Daniel (PhD/Dr. count: 0)
View Count (all-time): 177
Total Views (Real + Logic): 4942
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Publish Date: 2013 08, Thu
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The purpose of this research was to examine the predictive role of attachment styles on loneliness and depression. The sample consisted of 652 (313 females; 339 males) university students. Data were collected by using the relationship scales questionnaire, UCLA-R loneliness scale, and Beck depression inventory. To analyze data, Pearson product-moment correlation analysis and multiple regression analysis was employed. Attachment styles were found to be significantly correlated to loneliness and depression. A significant relationship was also found between loneliness and depression. A significant effect of attachment styles on loneliness and depression was detected.
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