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IJIET 2015 Vol.5(1): 32-35 ISSN: 2010-3689
DOI: 10.7763/IJIET.2015.V5.471

Loneliness and Interpersonal Problem Solving as Predictors of Subjective Well-Being

Yeliz Saygın, Seher Akdeniz, and M. Engin Deniz

Abstract—In this study loneliness and interpersonal problem solving were examined as predictors of subjective well-being. The study group is consisting of 254 female 238 male, totally 492 university students whose average age is 20.25. In this study, as a data collection tool, Subjective well-being scale Interpersonal problem solving inventory and University of California Los Angeles Loneliness Scale (UCLA) which adapted to Turkish by Demir, has been used. For the analysis of the data, linear regression analysis has been applied. According to the findings gained from the research, the interpersonal problem solving and loneliness are significant predictors of subjective well-being. One finding of the research is the less interpersonal problem solving skills, such as constructive problem solving and insistent-persevering problem solving levels the less their subjective well-being levels. And also the less, approaching problems in a negative way and lack of self-confidence levels the higher their subjective-well-being levels. One another finding is the less the individuals' loneliness levels the higher their subjective well-being levels and also the higher their loneliness levels the lower their subjective well-being.

Index Terms—Interpersonal problem solving, loneliness, subjective well-being.

Yeliz Saygın and Seher Akdeniz are with Necmettin Erbakan University, Konya, Turkey (e-mail: yelizsaygin@gmail.com, seherakdenizpdr@hotmail.com).
M. Engin Denizis is with Yıldız Teknik University, Istanbul, Turkey (e-mail: engindeniz2003@yahoo.com).

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Cite: Yeliz Saygın, Seher Akdeniz, and M. Engin Deniz, "Loneliness and Interpersonal Problem Solving as Predictors of Subjective Well-Being," International Journal of Information and Education Technology vol. 5, no. 1, pp. 32-35, 2015.

General Information

  • ISSN: 2010-3689 (Online)
  • Abbreviated Title: Int. J. Inf. Educ. Technol.
  • Frequency: Monthly
  • DOI: 10.18178/IJIET
  • Editor-in-Chief: Prof. Jon-Chao Hong
  • Managing Editor: Ms. Nancy Y. Liu
  • Abstracting/ Indexing: Scopus (CiteScore 2022: 2.0), INSPEC (IET), UGC-CARE List (India), CNKI, EBSCO, Google Scholar
  • E-mail: ijiet@ejournal.net

 

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