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IJSTR >> Volume 5 - Issue 10, November 2016 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Examination By Multinomial Logistic Regression Model Of The Factors Affecting The Types Of Domestic Violence Against Women: A Case Of Turkey

[Full Text]

 

AUTHOR(S)

Erkan Ari, Noyan Aydin

 

KEYWORDS

Domestic Violence against Women, Multinomial Logistic Regression Model, Turkey, Violence.

 

ABSTRACT

In this paper, factors affecting the types of domestic violence against women was determined by multinomial logistic regression model. In this context, we used the data of “Research on Domestic Violence against Women in Turkey” that was applied by Turkish Statistıcal Institute in 2008. In the study, the variable of the types of domestic violence against women was used as dependent variable that has four levels. In addition, twelve independent variables were used removing irrelevant variables from the data set via chi-square test of independence. After that, the maximum likelihood estimates and the odds ratios of the variables of the model were obtained. Besides, the validity of the model was tested by likelihood ratio test. At last, comparisons were made for three categories depending on the odds ratio according to the selected reference category. In terms of odds ratios, the variables of “education level of woman” and “husband's work sector” were statistically significant in only comparison one; the variables of “agnation with husband, “education level of husband”, “frequency of seeing drunk husband”, and “frequency of gambling of husband” were statistically significant in both comparison one and three; the variables of “region”, “deceived by husband”, “common-law female for husband” were statistically significant in all comparisons.

 

REFERENCES

[1] Al-Nsour, M., Khawaja, M., Al-Kayyali, G. (2009), Domestic Violence against Women in Jordan: Evidence from Health Clinics. Journal of Family Violence, 24(8), 569-575.

[2] Altinay, A.G., Arat, Y. (2009), Violence against Women in Turkey. A National wide Survey. Punto Press, Istanbul.

[3] Bloom, S.S. (2008), Violence against Women and Girls, A Compendium of Monitoring and Evaluation Indicators. Chapel Hill, North Carolina, USA.

[4] Dajcman, S. (2013), Co-Exceedances in Eurozone Stock Markets-A Multinomial Logit Analysis of Contagion. Economic Computation and Economic Cybernetics Studies and Research. 47(1), 259-273.

[5] Demir, S.A., Nam, D. (2014), Kadına Yönelik Aile İçi Şiddeti Önlemede Erkeğin Rolü. The Journal of Faculty of Economics and Administrative Sciences, Suleyman Demirel University, 19(3), 211-227.

[6] General Directorate of the Status of Women (GDSW) (2012), National Action Plan to Combat Violence Against Women 2012-2015, Ankara, Turkey.

[7] Hosmer, D. W., Lemeshow, S. (2000), Applied Logistic Regression, second ed. John Wiley & Sons, Inc., Hoboken, New Jersey, USA.

[8] Hosmer, D. W., Lemeshow, S., Sturdivant, R.X. (2013), Applied Logistic Regression. third ed. John Wiley & Sons, Inc., Hoboken, New Jersey, USA.

[9] Izmirli, G.O., Sonmez, Y., Sezik, M. (2014), Prediction of Domestic Violence against Married Women in Southwestern Turkey. International Journal of Gynecology and Obstetrics. 127(3), 288-292.

[10] Kleinbaum, D.G., Klein M. (2010), Logistic Regression. A Self- Learning Text. third edition. Springer, New York, USA.

[11] Kocacik, F. (2001), On Violence. Journal of Economic and Administrative Sciences. Cumhuriyet.University. 2(1), 1-7.

[12] Liao, T.F. (1994), Interpreting Probability Models, Logit, Probit and Other Generalized Linear Models, Series: Quantitative Applications in the Social Sciences, Sage Publications, California, USA.

[13] Long, J.S., Freese J. (2006), Regression Models for Categorical Dependent Variables Using Stata. second edition. Stata Press Publication, College Station, Texas, USA.

[14] Mavrikiou, P. M., Apostolidou, M., Parlalis, S.K. (2014), Risk Factors for the Prevalence of Domestic Violence against Women in Cyprus. The Social Science Journal. 51(2), 295-301.

[15] Subasi, N., Akin, A. (2003), Violence against Women; Causes and Consequences (inside) Social Gender, Health and Women. Hacettepe University Publications, 231-247.

[16] Tatlioglu, K., Kucukkose, I. (2015), Türkiye’de Kadına Yönelik Şiddet: Nedenleri, Koruma, Önleme ve Müdahale Hizmetleri. Dicle Üniversitesi Sosyal Bilimler Enstitüsü Dergisi. (7)13, 194-209.

[17] Tezcan, S., Tunckanat, H. (2009), Evaluation of Domestic Violence against Women in Terms of Physical and Mental Health of Women. National Sociology Congress VI. University of Adnan Menderes, Aydin, 848-861.

[18] Washington, S.P, Karlaftıs, M.G., Mannering, F.L (2003), Statistical and Econometric Methods for Transportation Data Analysis. second edition, CRC Press, FL, USA.

[19] Zortuk, M., Koc, E., Bayrak, S. (2014), Analysis of Households' Purchasing Criteria: Multinomial Logistic Regression Analysis Approach. Dumlupinar University Journal of Social Sciences. ISEOS 2013 Special Issue, 163-176.