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Perceptions of One's Own Health: a Multilevel Analysis of the WVS Wave 6

Student: Andrianova Kseniia

Supervisor: Eduard Ponarin

Faculty: Faculty of Social Sciences

Educational Programme: Comparative Social Research (Master)

Year of Graduation: 2017

This work is done in scope of sociology of health and safety study. Relying on the functional approach and taking into consideration individual and country level factors of social health described by different scientists, I considered question of health perception by human beings. There is no unit opinion among social scientists about factors on which government should base when implementing social policy in the sphere of health care. The main goal of this research is in the attempt to understand interrelations between factors of individual and country level influencing subjective health identification in the worldwide perspective. The research is conducted with the help of multilevel logistic regression analysis on the base of WVS dataset which contain information about countries with different socio-economic, political and cultural contexts. Multilevel modeling helps to clarify connections between subjective health level of an individual and various factors influencing it. In scope of this work, several multilevel models were built with the help of R language; comparative methods were used to track the significance behind the variables in terms of the influence they bear over the dependent variable. As a conclusion I get to the idea that individual factors have more influence on subjective health identification. That is why I believe that study needed to be continued. Key words: social health, social safety, multilevel modeling.

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