Abstract:

The concept of happiness protect its importance nowadays like along history. The underlying reason is that everybody want to be happy and happiness could qualify the purpose of life for everybody. On account of this importance various researches have done in world and in our country. Happiness researches attract attention of philosopher, craftsman and as much as behavioral scientiest political scientiest, business administrators and economists. In that respect it can be said say that the subject of happiness is center of interest for all social scientists. At literature survey we have seen that as much as at world and at our country there is only one dependent variable: “How much do you feel happy when you think about entirely all of your life?” This variable is used like the description of happiness. Most of scientists have accepted this answer as dependent variable and social-demographic features as independent variables and have determined the influentially factors. They have used generally ordered logit model. At this study have thought that this question is not the only one deterministic of happiness. Different indicators are necessary for description of happiness. The concepts which give happiness should be included in analysis. The grade of relationship between socio-demographic features and happiness sensation, related categories, sociodemographic features happy grade and existing homogeneous clusters about happiness sensation would be determine. When the dependent variable number is bigger than one, the approaches in literature are not sufficient. Different three happiness questions could be in use. Therefore nonlinear canonical correlation analysis would be apply and the results would stay up with Chi-Squre analysis.

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