Global ETD Search

1	Míra zacyklení procesu domácího násilí z pohledu empirického výzkumu / Domestic violence as a cycle and process in empirical research Vlasáková, Dana January 2016 (has links) (in English): Dissertation deals with the problematics of domestic violence from the perspective of empirical research. First, it discusses the definition of domestic violence with all its types and forms. Then it introduces possible typology of domestic violence conducted based on the frequency, cruelty, purpose and consequences of violent incidents and it identifies the most serious type of domestic violence known as intimate terrorism. It is characterized by cyclically repeating phases of partner's violent attacks and gradation of frequency and intensity of these attacks. Violent behavior is in this case guided by the motivation to dominate, control and intimidate the other partner. Next, it brings overview of risk factors and main sociological theories trying to explain the initiation and progress of domestic violence, starting from the Social Learning Theory, through the Social Situational/Stress and Coping Theory, Resource Theory, Exchange Theory, Sociobiological Theory, all the way to the Feminist Theories applied in subsequent interpretation of the results of the data analysis. Before the data analysis itself the dissertation describes the sources of the data and it introduces main moments of the research of domestic violence both in the world and in our country. Then it identifies a group...
2	Intimate Partner Violence Predictors in an International Context: An Analysis of the International Violence against Women Survey Forrester, Trina K. 21 April 2011 (has links) Using the International Violence Against Women Survey (IVAWS), this paper identifies factors contributing to women’s individual risk of being victimized by their current intimate partner. Additionally, this analysis examines the overlap of physical and sexual violence within intimate relationships. Past research into IPV has identified a numerous predictor variables. Adapting nine such variables (controlling behaviours, male heavy drinking, female only income, female past marriage, female past IPV, respondents’ age, relationship duration, relationship status and violence outside the home) to the IVAWS dataset, a framework identifying risk patterns for physical and sexual violence was developed. The results identify a number of variables that performed as expected and increased a women’s risk of being a victim of IPV; however, some variables decreased women’s risk and therefore acted as protective factors. These findings suggest that IPV at the country level is more complex and requires additional research to fully explain the variation observed. Violence Against Women Intimate Partner Violence Women Australia Costa Rica Czech Republic Denmark Hong Kong Mozambique Philippines Poland Switzerland IVAWS Family Violence Domestic Violence Woman Abuse Partner Violence Physical Violence Sexual Violence International Violence Age Past Victimization Relationship Length Relationship Duration Relationship Status Marital Status Relationship Type Past Marriage VAW IPV Alcohol Male Drinking Employment Income Controlling Behaviours Logistic Regression Violence
3	Intimate Partner Violence Predictors in an International Context: An Analysis of the International Violence against Women Survey Forrester, Trina K. 21 April 2011 (has links) Using the International Violence Against Women Survey (IVAWS), this paper identifies factors contributing to women’s individual risk of being victimized by their current intimate partner. Additionally, this analysis examines the overlap of physical and sexual violence within intimate relationships. Past research into IPV has identified a numerous predictor variables. Adapting nine such variables (controlling behaviours, male heavy drinking, female only income, female past marriage, female past IPV, respondents’ age, relationship duration, relationship status and violence outside the home) to the IVAWS dataset, a framework identifying risk patterns for physical and sexual violence was developed. The results identify a number of variables that performed as expected and increased a women’s risk of being a victim of IPV; however, some variables decreased women’s risk and therefore acted as protective factors. These findings suggest that IPV at the country level is more complex and requires additional research to fully explain the variation observed. Violence Against Women Intimate Partner Violence Women Australia Costa Rica Czech Republic Denmark Hong Kong Mozambique Philippines Poland Switzerland IVAWS Family Violence Domestic Violence Woman Abuse Partner Violence Physical Violence Sexual Violence International Violence Age Past Victimization Relationship Length Relationship Duration Relationship Status Marital Status Relationship Type Past Marriage VAW IPV Alcohol Male Drinking Employment Income Controlling Behaviours Logistic Regression Violence
4	Intimate Partner Violence Predictors in an International Context: An Analysis of the International Violence against Women Survey Forrester, Trina K. 21 April 2011 (has links) Using the International Violence Against Women Survey (IVAWS), this paper identifies factors contributing to women’s individual risk of being victimized by their current intimate partner. Additionally, this analysis examines the overlap of physical and sexual violence within intimate relationships. Past research into IPV has identified a numerous predictor variables. Adapting nine such variables (controlling behaviours, male heavy drinking, female only income, female past marriage, female past IPV, respondents’ age, relationship duration, relationship status and violence outside the home) to the IVAWS dataset, a framework identifying risk patterns for physical and sexual violence was developed. The results identify a number of variables that performed as expected and increased a women’s risk of being a victim of IPV; however, some variables decreased women’s risk and therefore acted as protective factors. These findings suggest that IPV at the country level is more complex and requires additional research to fully explain the variation observed. Violence Against Women Intimate Partner Violence Women Australia Costa Rica Czech Republic Denmark Hong Kong Mozambique Philippines Poland Switzerland IVAWS Family Violence Domestic Violence Woman Abuse Partner Violence Physical Violence Sexual Violence International Violence Age Past Victimization Relationship Length Relationship Duration Relationship Status Marital Status Relationship Type Past Marriage VAW IPV Alcohol Male Drinking Employment Income Controlling Behaviours Logistic Regression Violence
5	Intimate Partner Violence Predictors in an International Context: An Analysis of the International Violence against Women Survey Forrester, Trina K. January 2011 (has links) Using the International Violence Against Women Survey (IVAWS), this paper identifies factors contributing to women’s individual risk of being victimized by their current intimate partner. Additionally, this analysis examines the overlap of physical and sexual violence within intimate relationships. Past research into IPV has identified a numerous predictor variables. Adapting nine such variables (controlling behaviours, male heavy drinking, female only income, female past marriage, female past IPV, respondents’ age, relationship duration, relationship status and violence outside the home) to the IVAWS dataset, a framework identifying risk patterns for physical and sexual violence was developed. The results identify a number of variables that performed as expected and increased a women’s risk of being a victim of IPV; however, some variables decreased women’s risk and therefore acted as protective factors. These findings suggest that IPV at the country level is more complex and requires additional research to fully explain the variation observed. Violence Against Women Intimate Partner Violence Women Australia Costa Rica Czech Republic Denmark Hong Kong Mozambique Philippines Poland Switzerland IVAWS Family Violence Domestic Violence Woman Abuse Partner Violence Physical Violence Sexual Violence International Violence Age Past Victimization Relationship Length Relationship Duration Relationship Status Marital Status Relationship Type Past Marriage VAW IPV Alcohol Male Drinking Employment Income Controlling Behaviours Logistic Regression Violence

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