Magister Philosophiae - MPhil (Statistics and Population Studies)

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Browsing by Author "Faculty of Science"

Now showing 1 - 7 of 7
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    Determinants of contraceptive use among currently married women in Amhara and Oromiya Regions of Ethiopia
    (University of the Western Cape, 2009) Teferi, Zeleka; Appunni, Sathiya Susuman; Dept. of Statistics; Faculty of Science
    The purpose of this research is to study the effect of different demographic and socio economic factors on the contraceptive use among currently married women of age 15-49 in the two regions of Ethiopia, Amhara (17,214,056) and Oromiya (27,158,471). Data are obtained from the 2005 Ethiopian Demographic and Health Survey (EDHS). Information on contraceptive use was provided by current use 1334 (14.7), future use 4017 (52.0), unmet need for spacing 1817 (20.0) and limiting 1249 (13.3) currently married women aged 15-49 interviewed in the 2005 Ethiopian Demographic and Health Survey (EDHS).
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    Health seeking behaviours in South Africa: a household perspective using the general households survey of 2007
    (University of the Western Cape, 2010) Jim, Abongile; Tati, Gabriel; Dept. of Statistics; Faculty of Science
    This study is aimed at empirically examining health seeking behaviours in terms of illness response on household level at South Africa using 2007 General Household Survey and other relevant secondary sources. It provides an assessment of health seeking behaviours at the household level using individuals as unit of analysis by exploring the type of health care provider sought, the reason for delay in health seeking and the cause for not consulting. This study also assesses the extent of dissatisfaction among households using medical centres and this factor in health care utilisation is considered as the main reason for not consulting health care services. All the demographic and health seeking variables utilised in this study are controlled for medical aid cover because it is a critical variable in health care seeking. Therefore this study makes distinction on illness reporting and they type of health care consulted by medical aid holders and non medical aid holders. Statistical analyses are conducted to explore and predict the way in which demographic variables and socio economic variables affect health care seeking behaviours.
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    Investigating domestic violence against women in South Africa
    (University of the Western Cape, 2006) Njezula, Aurelia Babalwa; Stiegler, Nancy; Dept. of Statistics; Faculty of Science
    Domestic violence or intimate partner violence is increasingly being recognized as a problem that seems to be spiralling out of control. The causes of domestic violence have preoccupied scientists for several decades. The hypothesis that domestic violence might be biologically determined was significantly undermined by observations that its occurrence varies considerably between, as well as within, societies. The aim of this study was to add to the growing, but still rather fragmented, body of knowledge in South Africa on violence against women. This study seeks to analyze domestic violence from an angle whereby the data can be explored to find factors contributing to women experiencing domestic violence in South Africa. The objectives of this research are to measure the prevalence of physical, sexual and financial abuse and to identify a profile of women who have experienced domestic violence.
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    Participation of African immigrants in the labour force of South Africa: Insights from the 2001 population census
    (University of the Western Cape, 2008) Mohammed, Isam Yasin Adb Elgadir; Tati, Gabriel; Dept. of Statistics; Faculty of Science
    The study examines the participation of African immigrants in the South African labour force with the central question revolving around whether the immigrants create jobs through the establishment of their own businesses or take jobs from the locals. Analytical frame work used in this study includes descriptive statistics, chi-square test for association and standardized residuals, two-way analysis of variance and logistic regression. Demographic, locational and socio-economic characteristics were studied using descriptive and inferential statistical analysis. Two-factor analysis of variance was used to examine the differences on average in the African immigrants; participation in the labour force, while logistic regression was used to investigate the effect of some demographic characteristics on employment and work status.
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    Placing the dead: the spatial distribution and spread of HIV in a major South African city
    (University of the Western Cape, 2005) Rama, Parbavati; Shell, Robert C.H.; Dept. of Mathematics; Faculty of Science
    The aim of this study was to establish a new understanding of the epidemiology of HIV/AIDS at the municipal level, but at the same time upholding the anonymity of the HIV infected and AIDS sufferers. Innovative research techniques such as the use of GIS (geographic information systems) as a research tool contributed to disclosing the patterns of the HIV pandemic in the Nelson Mandela Metropole that were not obvious or visible before. GIS involved geographic maps that detect the spatial relationship between HIV prevalence rates and vectors that drive the pandemic.
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    Some demographic aspects of women's access to land for farming in South Africa: a comparison from 2004 to 2007
    (University of the Western Cape, 2009) Nyirasafari, Philomene; Tati, Gabriel; Dept. of Statistics; Faculty of Science
    The issue of women's access to land is a developmental issue. From a fundamental research view point, this study aims to explore the circumstances in which women access land in South Africa. The study examines the inequalities that may arise in the context of land access, land acquisition; land use, activities taking place on land and closely related issues focusing specifically on women in general, and women headed households in particular. The study is based on demographic characteristics such as age, gender, marital status, occupational groups, education, province of residence and ethnic groups. Bringing together the demographic variables and land related variables, the study captures the structural changes between 2004 and 2007. Using 2004 and 2007 GHS secondary data requested from Statistics South Africa, cross tabulation and bivariate statistical analysis by means of SPSS software was performed. The results obtained indicate that the inequality against women's access to land still persists. Some women have access to land for agricultural purpose but few own it. The findings suggest that a number of factors including age, place of residence, marital status, ethnic group, literacy, educational level, of women are associated with the ability of women to access and acquire land. The sustainable livelihood framework is a theory that guided this study. Diversification is commonly used to prevent time of risks and shocks. In general, the study shows that the proportion of women who had access to land was 16% in 2004. This figure dropped to 14% in 2007.
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    Some structural changes in educational enrolment and attainment levels within the female population of South Africa (2004-2007)
    (University of the Western Cape, 2010) Ramaipato, Nkutloeleng Mary Corda; Tati, Gabriel; Dept. of Statistics; Faculty of Science
    The purpose of this thesis is to investigate patterns in educational enrollment and attainment in educational levels among women in South Africa. Some evidence from the literature suggest a slow increase in women's education and employment opportunities in South Africa. However, little is known about the way in which this slow pattern reflects at all levels and fields of education with special reference to the female population in South Africa. The thesis aims at examining changes of attainment in women's education from a sociodemographic perspective between 2004 and 2007. Factors affecting women's education in South Africa are also considered as they play major roles in women's enrollment and completion at school. The study focuses on women through different social and demographic attributes, by taking account of variables such as age, education attainment, geographic areas, population group to name but a few. All educational institutions are covered and two female groups are considered, women at school and women who left school. The study makes use of already existing data from General Household Survey conducted in 2004 and 2007 respectively, to bring some comparative perspective. The scope of the study is national in that, all the nine provinces are covered making distinction of rural and urban areas.