Department of Statistics & Population Studieshttp://hdl.handle.net/11394/1212024-03-19T13:10:22Z2024-03-19T13:10:22ZPower studies of multivariate two-sample tests of comparisonSiluyele, Ian Johnhttp://hdl.handle.net/11394/106522024-02-20T00:02:04Z2007-01-01T00:00:00ZPower studies of multivariate two-sample tests of comparison
Siluyele, Ian John
The multivariate two-sample tests provide a means to test the match between two multivariate distributions. Although many tests exist in the literature, relatively little is known about the relative power of these procedures. The studies reported in the thesis contrasts the effectiveness, in terms of power, of seven such tests with a Monte Carlo study. The relative power of the tests was investigated against location, scale, and correlation alternatives. Samples were drawn from bivariate exponential, normal and uniform populations. Results from the power studies show that there is no single test which is the most powerful in all situations. The use of particular test statistics is recommended for specific alternatives. A possible supplementary non-parametric graphical procedure, such as the Depth-Depth plot, can be recommended for diagnosing possible differences between the multivariate samples, if the null hypothesis is rejected. As an example of the utility of the procedures for real data, the multivariate two-sample tests were applied to photometric data of twenty galactic globular clusters. The results from the analyses support the recommendations associĀated with specific test statistics.
>Magister Scientiae - MSc
2007-01-01T00:00:00ZInfluence of data accuracy and non-use of quality information on reproductive health: a comparative study of Nigeria and South AfricaOyekola, Adetooke Bukolahttp://hdl.handle.net/11394/105642023-11-16T00:04:20Z2023-01-01T00:00:00ZInfluence of data accuracy and non-use of quality information on reproductive health: a comparative study of Nigeria and South Africa
Oyekola, Adetooke Bukola
In healthcare settings, information systems play a critical role in providing safe, timely, and effective healthcare services. Decision-making on medical supplies, healthcare providers, service delivery, finance, and governance all depend on access to health information. To improve overall health services and processes, these information systems manage data collection, processing, storage, retrieval, and utilisation. The effectiveness of health systems depends on effective administration and data quality. Irrespective of the significance of health information systems, many low- and middle-income nations, such as South Africa and Nigeria, continue to encounter challenges with data accuracy and the use of high-quality information. Inaccurate data can lead to misinformed policy decisions and resource allocation, hindering efforts to improve reproductive health outcomes. Problems such as incomplete, outdated, unreported data, poor integration, and underutilisation of technology affect data quality and completeness. Data quality impacts decision-making, performance, and the ability to achieve national and international health goals. Government involvement and suitable policies are crucial for addressing these challenges and improving the effectiveness of health information systems.
Philosophiae Doctor - PhD
2023-01-01T00:00:00ZFemale unemployment in South Africa: insight from the 2021 labour force survey.Mfubu, Anelehttp://hdl.handle.net/11394/105572023-11-15T00:03:14Z2023-01-01T00:00:00ZFemale unemployment in South Africa: insight from the 2021 labour force survey.
Mfubu, Anele
The study focused on female unemployment and aimed to establish whether or not there is a relationship between female unemployment and demographic characteristics, whether the currently unemployed have ever worked or not, their duration of unemployment and the reasons for not working. It utilized the existing dataset from Statistics South Africa's fourth-quarter of 2021 Labour Force Survey. The study suggested that there are differentials in female unemployment, according to demographic characteristics. More precisely the greatest share percentage of unemployed females in South Africa was found within 25-34 age group and who are single. Nonetheless, those within 15-24 most of them were found among those who have never worked before, while a high percentage share of those who have work experience was found in 55-64 age group.
>Magister Scientiae - MSc
2023-01-01T00:00:00ZAssessing the high-risk behaviour of first year students entering the University of the Western CapeAbels, Melissa Dionehttp://hdl.handle.net/11394/102932023-06-20T00:02:23Z2007-01-01T00:00:00ZAssessing the high-risk behaviour of first year students entering the University of the Western Cape
Abels, Melissa Dione
Globally, new HIV infections are heavily concentrated among the youth, i.e., persons aged 15-24 years old (UNAIDS, 2006b). In South Africa, the estimated national HIV prevalence was 10.4% among the youth in 2006 (Dorrington et a|.2006). The 2005-2006 national South African HIV rates ranged from 31.8o/oto39.3% among female youth and from 7.5oh to 10.1o/o among male youth (Dorrington et al. 2006; Pettifor et al. 2004; Shisana et al. 2005). UNAIDS (2006) stated that the future course of the HIV epidemic
hinges on the high-risk behaviours the youth adept or maintain. The motivation for the study is to assess the high-risk behaviours that contribute to the spread of HIV and AIDS among the youth. The most influential high-risk behaviours that contribute to the spread of HIV and AIDS are unprotected sexual intercourse and having more than one sexual partner (Nattrass, 2004, Pettifor et al. 2004; Shisana et al. 2005;
UYF & HSRC, 2005). Those who are in violent relationships, fear the threat of violence, which prevents them from insisting on condom use and this increases the risk of HIV infection (MacPhail & Campbell, 2001). Factors that leave the youth unable to set boundaries on when they want to have sex, what type of sex, or the use of contraception increase the risk of HIV infection. These factors include transactional sex, young age at first sex, cigarette smoking, alcohol use, drug use and suicidal behaviour (Aitken, 2005; Basile et al. 2006; Flisher et al. 1993c; Kauftnan & Stavrou, 2002; Pettifor et al. 2004; Shisana et aI.2005\. The population for this study included all full time first year students who registered at UWC for the first time in 2006 that attended the orientation week. A stratified, sequential random sample was drawn from the students attending the orientation. The Science Faculty Research Committee of UWC gave the consent to undertake the study. Informed
consent was obtained from the 796 respondents and anonymity of their participation was ensured. The measuring instrument was a self-administered questionnaire. SAS package (SAS Institute Inc. 2004-2005) was used to clean the data and to do the analyses. Frequencies and percentages were provided for nominal and medians were provided for ratio scales. Rao-Scott Chi-square test was used to test the bivariate analysis between the high-risk behaviours. Multivariate logistic regression models were used to provide a clearer perspective on the effects of high-risk behaviours on non-condom use at last sex
Doctor Educationis
2007-01-01T00:00:00Z