Background: The Platinum mining operations in South Africa mining platinum containing ore from areas where variable amounts of uranium are found, leading to the possibility of occupational exposure to the radioactive disintegration products of Uranium-238 and in particular the gas Radon-222. No scientific data is available for occupational exposure to Radon-222 in South African platinum mining operations. Objective: To determine the risk of occupational exposure to the radioactive disintegration products of naturally occurring Radon-222 gas in a South African platinum mine. Design: Quantitative sampling (personal and static) to establish baseline data on exposure to radioactive disintegration products of naturally occurring Radon-222 gas in a underground South African platinum mine. Setting: The Bafokeng Rasimone platinum mine located 30 km North West of Rustenburg in the Bushveld complex in the North West Province of South Africa. Study subjects: One hundred and seventy four potentially highest exposed underground employees and one hundred and twelve static underground samples were sampled. Method: Personal and area samples were taken on selected employees and in locations using RGM samplers using CR-39 plastic as a detection medium. Employees were selected to sample the highest exposed occupations and static samples were located to sample returning air from levels underneath the sampling point before it is exhausted to the above ground atmosphere. After analysis by an accredited laboratory, the results were converted to exposure following the National Council on Radiation Protection-78 methodology. Main outcome measures: Quantify the relative risks of potentially highest exposed employee`s exposure to the radioactive disintegration products of naturally occurring Radon-222 gas in underground working areas in milliSievert per year. Results: The mean reference background exposure averaged 0.6168 mSv/a with underground personal exposure averaging 0.6808 mSv/a, and underground static exposure averaging 0.8726 mSv/a. These values are substantially below the 50 mSv/a Occupational Exposure Limit, and only pose a slightly elevated risk for the development of lung cancer above the normal back-ground exposure. Mining Team leaders and rock drill operators were identified as the potentially highest exposed employees due to the close proximity to the working face, large amounts of time spent close to the working face and the lower ventilation volumes at the working face, with Team leaders having the highest exposure of the sampled occupations with a average of 1.16 mSv/a. Conclusions: Occupational exposure to radioactive disintegration products of naturally occurring Radon-222 gas in the underground air of a South African platinum mine does not pose a significant risk to the health of employees working in the platinum mine. / Thesis (MSc (Occupational Hygiene))--North-West University, Potchefstroom Campus, 2013.

South Africa is a very diverse country. There are eleven spoken official languages, different cultures, beliefs, backgrounds, educational levels, races as well as differences in socioeconomic status. Psychometric measuring instruments used in South Africa are mostly imported from Europe or America and are often not standardised for the South African context. The translation of such imported measuring instruments usually results in bias, in contravention of the Employment Equity Act (1998) which stipulates that all psychometric assessments should be bias–free, equivalent, and fair. It is of tremendous importance to take a country's political, economic and social history into account before developing a psychometric instrument, to ensure that the instrument will adhere to all legal requirements. A quantitative research design was used in this study. The sample consisted of students from tertiary institutions in North–West and Gauteng Provinces (SH–1: n = 473; SH–2: n = 476). Convenience sampling was used since the aim of the study was to test the reliability and validity of a newly developed instrument. Questionnaires were distributed amongst the participants from the tertiary institutions, to be completed within a set time and collected immediately after completion. The first objective of the study was to develop a valid and reliable measuring instrument that scientifically assesses the Hostility, Gratefulness and Active Support subclusters of the Soft–heartedness cluster of a new personality measure being developed for the South African context, namely the South African Personality Inventory (SAPI). Items were derived from person–descriptive terms gathered through a qualitative research design. The aim of this qualitative research design was to gather as many person–descriptive terms as possible and integrating these terms into a personality instrument. A principal component analysis was conducted to determine the item correlations, and items that did not function as expected were removed. Internal consistency coefficients were calculated to determine the item reliabilities. The second aim of this study was to determine the factor structure for the three subclusters of the Soft–heartedness cluster included in this study (pertaining to these three subclusters). A factor analysis was performed. A higher–order factor was present and a second–order analysis was performed, using the factor correlation matrix as input on the results. From the three subclusters assessed in this study, only two subclusters were extracted, and were labelled Hostility and Congenial Behaviour. This could be an indication that the positive and the negative items are clustering together in two separate groups, one indicating positive behaviour and the other negative behaviour. Finally, the construct equivalence across different race groups was evaluated by considering Tucker's phi coefficient and comparing the factor pattern matrices of the two factors obtained to compare the factor solutions between the white and African race groups respectively. The results indicated that each of the facets had similar loadings on their posited factors for both groups and that the two factors were represented by the same facets irrespective of the race groups. Recommendations were made for future research. / Thesis (M.Com. (Industrial Psychology))--North-West University, Potchefstroom Campus, 2011.

This research was aimed at validating the PHQ–9 in an African context. This study forms part of the project of Psychosocial Health and Biomarkers in an African context (FORT3, Wissing, 2008). The Patient Health Questionnaire (PHQ–9) is a nine–item depression scale that has the potential of being a dual–purpose instrument to establish the diagnosis of a depressive disorder, as well as the grade of symptom severity (Kroenke, Spitzer & Williams, 2001). The PHQ–9 was administered with criterion related measures to a multicultural convenience sample of 2214 participants from the North West Province of South Africa, including two groups of adolescents (n1 = 1480 and n2 = 559) and an availability sample of adults (n3 = 185). Instruments to determine criterion validity were the General Health Questionnaire (GHQ), designed to detect symptoms of mental disorders; the Mental Health Continuum - Short Form for Adults (MHC–SF) which measures the degree of emotional, social and psychological well–being; and the New General Self–Efficacy Scale (NGSE) designed to measure an individual’s general self–efficacy. Descriptive statistics for the PHQ–9 including its reliability in the various groups is reported. The PHQ–9 manifested a Cronbach Alph are liability index of 0.86. Criterion–related validity was supported by significant correlations between the PHQ–9 and criterion measures. Confirmatory factor analysis for the PHQ–9 yielded a one–factor solution in all groups. The percentage variance explained ranged between 34.71% and 46.62%. Exploratory factor analyses yielded two factors in all groups with the second factor comprised of no more than 2 items and thus interpreted as a minor factor. The construct validity obtained in this research indicates that the PHQ–9 may be a valid measure to identify depression in a South African context. Based on the psychometric properties found in this study, it can be concluded that the PHQ–9 is a valid measure of depression in two of the samples selected for this study. Future studies may further validate this instrument in specific language and cultural groups, and explore the cross–cultural measurement equivalence. / Thesis (M.A. (Research Psychology))--North-West University, Potchefstroom Campus, 2011.

The purpose of this study is to investigate the transformation process that has taken place in the local government sphere over the past sixteen years. This process is based on the Constitution, Act 108 of 1996. Transformation applies to all areas of society, including the disabled – the focus point of this study. More specifically the focus of the study is on the effect of the transformation process on the disabled. The study was done within Ekurhuleni Metropolitan Municipality, taking into consideration the Constitution of 1996, as well as internal policies. The main focus during this study is to emphasize the position of the disabled, focusing on recognition, basic needs, funding, promotion, careers, and the incorporation of the disabled into the Municipality. / Thesis (M. Development and Management)--North-West University, Potchefstroom Campus, 2011.

This study begins with the question: "Is there a place for a Christian ethical code of conduct in the diverse and complex business world of today?" In chapter 2 I explain the context wherein one should understand this question. If you look at the history of South Africa you will see that there was discrimination that took place over a long period of time on the basis of race, religion and gender and that makes this issue a very sensitive one. The reason why it is so sensitive is if there were to be a Christian ethical code of conduct in the workplace could it lead to discrimination again? That is not allowed to happen under the current Constitution of South Africa. But the other side is also true, if you don?t have a Christian ethical code won?t you loose the beautiful things Scripture gives us on how to treat all people equally and fairly within the workplace? This study will show that according to the Constitution of South Africa it is possible to have a Christian ethical code of conduct as long it does not exclude any employee. In chapter 3 we have a look at Scripture that gives us guidelines on how to treat all people and also people in the workplace. Here are some examples: * the way employees should be handled; * the number of working hours the employees should be working; * the remuneration of the employees – is it fair; * how the Shareholders? / Stakeholders? interests are looked after; * the manner in which the business is being managed; * the Constitutional business environment; * the international law that transcends borders where macrobusinesses do business. In chapter 4 we look at the Christian ethical perspective in the business. We look at the role of the economy and the core values to manage a business. In chapter 5 we end with an example of a workable Christian ethical code of conduct and we compare two large business codes of conduct. / Thesis (Th.M. (Ethics))--North-West University, Potchefstroom Campus, 2011.

The services sector has played an increasingly important role in international trade in recent years. The negotiations under the General Agreement on Trade in Services (GATS) in recent years have initiated a global drive to liberalise services trade. However, this liberalisation process holds many challenges, especially for developing countries that do not have an adequate regulatory system to sufficiently support and promote these new export sectors. The Department of Trade and Industry (DTI) in South Africa recognised a need to undertake scientific research to identify the development and export potential of key services sectors. In the period from 2005 until 2009, the services sector contributed 65% on average to the GDP of South Africa. In 2010, 79% of the labour force in South Africa was employed in the services sector. However, services only contributed 19% to total exports from South Africa in the period from 2005 until 2009 (ITC, 2010a). The largest services export sectors for South Africa over the five–year period were travel (63%), transportation (11%), and business services (9%). This indicates that South Africa?s services exports are mostly concentrated in one sector, namely travel, and this clearly indicates the need for South Africa to diversify exports of services into other sectors. Export promotion is one of the methods that governments can use in order to stimulate the export growth of a country. Given the need to increase and diversify the exports of South African services, this study aimed to investigate the literature in order to establish possible guidelines for the export promotion of services specifically. Export promotion instruments should aim to identify potential export opportunities in order to allocate scarce government resources to the active promotion of the sectors with the highest export potential. In order to aid government with this process, Cuyvers, De Pelsmacker and Roozen (1995) developed a decision support model (DSM) that could determine potential export opportunities for products in Belgium by using a scientifically–based method. This model was adapted for South African products in 2007 and further refined in 2009 and 2010 for the DTI in South Africa. In all cases, the DSM analysis was only applied to products and the services sector was never taken into consideration owing to the data differences and the nature of services. Therefore, this study aimed to develop a similar model for the services sector in South Africa that could identify the sectors and countries with the highest potential for services export diversification. The results of such a model could also be incorporated into a services sector strategy for South Africa. Such a services strategy does not currently exist for South Africa and if the results of this model were incorporated into such a strategy, it would be the first of its kind. The study reviewed the methodology of the DSM for products and found that the methodology of the first two filters could be applied to the available services data in a similar manner. However, owing to the nature of services and the limited availability of data, the third and fourth filters had to be adapted to consider these differences. Therefore, a new model was developed to incorporate the nature of services, and the new model was named the export opportunities model (EOM) for services. A new methodology was developed for the third and fourth filters in the EOM for services. A new cell structure was also constructed to categorise the results of the EOM according to the specific market characteristics, which could be used in export promotion strategies to develop specific promotion instruments for each type of market. The results of the EOM for services on a geographical basis showed that the highest export opportunities for services in South Africa were in Eastern and South–Eastern Asia, followed by the European market. The results also identified specific sectors that have high export potential for South African services. The sectors with the highest export potential are travel, transportation, construction services, communications services and other business services. These results can be incorporated into a services sector export promotion strategy for the DTI in South Africa. The study also compared the results of the DSM for products with the results of the EOM for services, in order to establish guidelines on regional export opportunities for both products and services. The study found that the highest export opportunities were in the Asian and European regions. The DTI in South Africa could use these product/country combinations and services/country combinations to develop specific export promotion instruments and strategies for each region in the world. / Thesis (Ph.D. (International Trade))--North-West University, Potchefstroom Campus, 2011.

This thesis identifies realistic export opportunities for South African products in the rest of the world and specifically in the rest of the African continent. The method chosen to achieve this goal is the Decision Support Model (DSM) developed by Cuyvers et al (1995) and Cuyvers (1997) that was specifically designed to assist export promotion institutions in planning and assessing their export promotion activities. This model is positioned into the international market selection literature and four main refinements to the DSM methodology are introduced to address the limitations of the model and to make it more applicable for the South African international trade conditions. The refined model is then applied to identify product–country combinations with the largest export potential for South Africa in the rest of the world and in the rest of the African continent specifically. The refinements to the DSM filtering process introduced in this study contribute to the effective use and application of the DSM results by South African exporters and more focused export promotion activities by South African export promotion organisations. The four refinements include (i) running the DSM on a HS 6–digit level, (ii) introducing a method to calculate the potential export value of each identified export opportunity in order to prioritise between the product–country combinations identified as realistic export opportunities, (iii) taking the production capacity of South Africa into consideration in order to identify export opportunities that can be pursued immediately due to the country's existing revealed comparative advantage in the production and exportation of these products and (iv) developing a market accessibility index per product–country combination from a South African point of view on a HS 6–digit level in order to make filter 3.2 (barriers to trade) of the DSM applicable for South African conditions. The results of the application of the refined DSM to identify export opportunities for South Africa in the rest of the world include the top 50 worldwide export opportunities. There are 17 countries in which the top 50 worldwide product–country combinations identified as export opportunities for South Africa are located. These include the United States, Japan, India, the United Kingdom, Canada, China, Germany, Israel, Hong Kong, the Netherlands, Australia, Belgium, Singapore, Indonesia, Saudi Arabia, Italy and Brazil. Mineral products (coal, copper and aviation spirit); transportation products (1500 - 3000 cc automobile engines and diesel powered trucks); stone/glass (diamonds, platinum and rhodium) and metals (aluminium, iron/steel structures, nickel) are the product classifications within the top 50 worldwide product–country combinations that hold the largest worldwide export potential for South Africa. In terms of the product–country combinations with the highest export potential for South Africa in the rest of the African continent, there are 18 countries in which the top 50 product–country combinations for South Africa in the rest of the African continent are located. These include Nigeria, Namibia, Ghana, Morocco, Egypt, Zambia, Tunisia, Kenya, Uganda, Zimbabwe, Botswana, Mauritius, Tanzania, Senegal, Mozambique, Algeria, Malawi and Cote d'Ivoire. The products with the highest potential export values in the top 50 product–country combinations for South Africa in Africa include mineral products (aviation spirit, iron ore, sulphur and coal) and transportation products (1500 - 3000 cc automobile engines and diesel powered trucks weighing less than 5 tons). / Thesis (Ph.D. (International Trade))--North-West University, Potchefstroom Campus, 2011.

AIM Poor iron status and under–nutrition among children are of concern not only in South Africa but worldwide. Both independent and combined associations between poor iron status, under–nutrition and cognitive development and function have been investigated. This mini–dissertation investigated possible associations between iron status indicators, anthropometric nutritional status and cognitive performance in the Beverage Fortified with Micronutrients (BeForMi) study population (black South African children aged 6–11 years in the North–West province of South Africa). METHODS The study was cross–sectional and based on the BeForMi study baseline data. Primary school children (n = 414) with the highest serum transferrin receptor (STR) and zinc protoporphyrin (ZnPP) levels were included. Anthropometric z–scores - BMI–for–age (BAZ), height–for–age (HAZ), and weight–for–age (WAZ) - and iron status indicators - haemoglobin (Hb), serum ferritin (SF), STR and ZnPP - were determined. The Kaufman Assessment Battery for Children, Second edition (KABC–II) was used to generate cognitive scores. RESULTS Fourteen percent of children were underweight (WAZ <= 2 SDs), 12.8% stunted (HAZ <= 2 SDs) and 8.4% wasted (BAZ <= 2 SDs). Of the children, 7.1% were anaemic (Hb < 11.5 g/dL), 13% iron depleted (Hb < 11.5 g/dL and SF < 12 ug/L) and 2.7% had iron deficiency anaemia (Hb < 11.5 g/dL and SF < 12 ug/L). Low iron stores (SF < 12 ug/L) were observed in 15.7% of the children. Positive correlations were found between SF and WAZ (r = 0.1, p = 0.047), Hb and HAZ (r = 0.13, p = 0.007) and WAZ (r = 0.13, p = 0.009). Positive correlations with small effect sizes were observed between some cognitive scores and z–scores (p < 0.05, r–value range 0.10 – 0.24). Negative correlations with small effect sizes were observed for the subtests Triangles and Rover (both subtests on simultaneous processing) with Hb (p = 0.008, r = –0.13) and SF (p = 0.04, r = –0.1) respectively. Higher HAZ, WAZ and education level of the head of household were all significantly associated with the likelihood that a child would fall within the upper quartile of Hb values in our study group (p = 0.036, p = 0.032 and p = 0.036 respectively). CONCLUSION The results suggested that under–nutrition was positively associated with poor iron status and lower cognitive scores in this study population. Further research, investigating specific effects of poor iron status at different stages of growth and the relationship with cognitive function later in life may help explain the negative correlations observed between current iron status indicators and cognitive scores. / Thesis (M.Sc (Dietetics))--North-West University, Potchefstroom Campus, 2011.

SMEs can play a significant role in the economy as drivers of economic growth and job creation. Many SMEs are, however constrained by their limited access to finance. This study examines the source of finance of firms in South Africa and estimates the importance of finance as a predictor of output per worker. Using the 2007 World Bank Enterprise Survey, the study focuses on the firm’s access to finance, or sources of finance, as a predictor of the productivity of South African firms. Other factors that are taken into account include sources of finance such as the overdraft of the firm, collateral available and the type of financial institution used to acquire financing. These covariates all play an integral role in whether or not the firm will receive the financing, the amount granted and the repayment terms. Empirical analysis is done with a Cobb–Douglas production function regression to determine how output per worker is influenced by various factors. The results show that output per worker improves as additional finance variables are added to the regression model. Using an access to finance dummy as the dependent variable, a logistic regression model is used to calculate the probability of access to finance as a constraint based on the independent variables. The results of the logistic regression show that the probability of firms’ experiencing access to finance as a constraint is decreased by variables such as fixed assets and increase with negative factors such existing debt and collateral. These results are expected based on previous research on the topic and confirms that access and finance sources are determinants for firm growth. Recommendations include more extensive research on the topic, with panel data over a longer period and specific to a country. Policy recommendations include amended evaluation techniques, adapted to the individual firm’s requirements and strengths. / Thesis (M.Com. (Economics))--North-West University, Potchefstroom Campus, 2012.

In order to make decisions to approve filling stations, an environmental impact assessment (EIA) needs to be conducted and evaluated by the competent authority. Although numerous filling stations have been authorised for operation, the quality of the EIA reports that form the basis for decision making has never been evaluated. The evaluation of the quality of EIA reports on filling station developments by means of an adapted Lee–Colley review package formed the basis of this research. The main conclusion was that the quality of the EIA reports for filling station developments, as reviewed by the adapted review package, is generally of a poor standard. This means that a decision to approve a new filling station is generally based on just enough information to the competent authority. The main deficiencies in the EIA reports related to site description, cumulative impacts and mitigation measures, while the environment description, identification of impacts, scoping of impacts, assessment of impact significance and emphasis (impacts) in the reports were of good quality. The results from the reviewed EIA’s correspond mostly with the literature on the review of EIA reports. / Thesis (M. Environmental Management)--North-West University, Potchefstroom Campus, 2012.