The aim of the study is to establish an acceptable classification scheme for the statistical methods used in business research. The approach compares the statistical component of the research and evaluates how it has changed over time and across different journals. If, as expected, the statistical expertise has changed, the change would be identified with the view to recommending curriculum changes for Statistics Departments of South African tertiary institutions.

Philosophiae Doctor - PhD / The advantage of a well-developed health information system is the significant role played by records produced by such a system beyond recording medical history of individuals. They are the foundation for birth registrations which when fully complete is an important tool for acquiring data necessary for planning and monitoring child and maternal health in a country. This study aimed to investigate the potential of hospital birth records to estimate the number of births in the country and supplement birth registrations data. Data was abstracted from public facilities where births occur in two municipalities; Germiston in Gauteng and Nkomazi in Mpumalanga for the period 2014 to 2016. Modified version of the BORN Data Quality Framework (BORN-DQF) of the Ontario Agency for Health Protection and Promotion (2016) was used to assess the contents and quality of hospital birth records. / 2022

MSc., Faculty of Science, University of the Witwatersrand, 2011 / The purpose of the study is to investigate possible reasons as to why different surveys conducted by Statistics South Africa (Stats SA) give different estimates of the percentages in the different employment categories. In order to investigate the different sources of variability, that is, surveys done in different years, surveys using different questionnaires, different sample designs and different employment profiles, the following comparisons were done for Gauteng and the Eastern Cape: • To compare estimates of employment status over time for the March Labour Force Survey (LFS) 2006 and 2007; September LFS 2006 and 2007; and General Household Survey (GHS) September 2006 and July 2007. • To compare estimates of employment status across surveys for LFS September 2006; GHS September 2006; and LFS September 2007, July GHS 2007 and Community Survey (CS) October 2007. In order to generate a set of comparable estimates across surveys and within surveys over time, this study identifies and addresses the various sources of potential non-comparability. The methodologies utilised are Chi-squared Automatic Detection (CHAID) and multinomial logistic regression. These statistical techniques were used to identify variables which are associated with employment status. The predictor variables included in the analysis are age group, highest level of education, marital status, population group, sex and source data. The results from CHAID for all data sets show that age group is the most significant predictor on which data on employment status can be segmented. At the root node (the first level of the CHAID tree), data was partitioned by the categories of age group. Highest level of education, sex, population group and province were significant within the categories of age group. Either province or population group was significant within the age group 20–29 years old depending on the data that is being analysed. Sex was most significant within the age group 50–65 years old. The results of multinomial regression show several significant interactions involving from five to seven factors for different data sets. The logistic regression results were not as good as those of the CHAID analyses, but both techniques give us an indication of the relationships between the predictor variables and employment. The analysis of the CS, LFS and GHS in 2007, when explaining employment status, split on age group. Highest level of education was the most significant predictor when comparing the three data sets. There are differences among the three data sets when explaining employment status. This is due to the use of different mid-year population estimates, differences in the instructions given in the questionnaire for CS 2007 and other surveys, as well as the sample size of the surveys. There are indeed significant differences between Gauteng and Eastern Cape in relation to employment status.

From Introduction: In geography during the 1950's there was a definite move away from the study of unique phenomena to the study of generalized phenomena or pattern (Mather and Openshaw, 1974). At the same time interrelationships between phenomena distributed in space and time became the topic of much interest among geographers, as well as members of other disciplines. The changing emphasis initiated acceptance of certain scientific principles (Cole, 1973), and mathematical techniques became the recognized and respected means through which objective analysis of pattern, structure, and interrelationships between a really distributed phenomena could be achieved (Ackerman, 1972; Burton, 1972; Gould, 1973). Geographers, as do members of other disciplines, frequently borrow mathematical techniques developed for problems encountered in the pure sciences and apply these techniques to what are felt to be analogous situations in geography.

No abstract available. / Dissertation (MAdmin)--University of Pretoria, 2002. / School of Public Management and Administration (SPMA) / unrestricted

The purpose of this study was to analyse the effectiveness of Statistics South Africa's internship programme in developing the statistical skills of interns. A mixed method approach which included semi-structured interviews, document study and electronic questionnaires was used to gain insight into the thoughts and perceptions of 38 participants. The study revealed that many of the crucial elements for a successful internship programme are present in the current internship programme. It was also found that the interns do not get the opportunity to implement or utilize their skills in the areas in which they are being placed. The absorption and retention strategy also seems to pose a challenge for the internship programme of which the goal is to retain as many statisticians as possible. Finally, a proper absorption strategy, better and more formal assessments, and a higher salary level for interns being absorbed into the organization should also be considered / Language Education, Art and Culture / M. Ed. (Adult Education)

The purpose of this study was to analyse the effectiveness of Statistics South Africa's internship programme in developing the statistical skills of interns. A mixed method approach which included semi-structured interviews, document study and electronic questionnaires was used to gain insight into the thoughts and perceptions of 38 participants. The study revealed that many of the crucial elements for a successful internship programme are present in the current internship programme. It was also found that the interns do not get the opportunity to implement or utilize their skills in the areas in which they are being placed. The absorption and retention strategy also seems to pose a challenge for the internship programme of which the goal is to retain as many statisticians as possible. Finally, a proper absorption strategy, better and more formal assessments, and a higher salary level for interns being absorbed into the organization should also be considered / Language Education, Art and Culture / M. Ed. (Adult Education)

The topic of integrating the formal learning of graduates with their informal workplace learning has been debated for many years. In practice, however, these two types of learning still exist as two polar opposites, especially in the field of statistics. This study examined the effectiveness of an internship programme as a means to integrate the formal learning of statisticians with their informal workplace learning. Based on the findings, a framework was proposed to ensure integration between the formal and informal workplace learning of statisticians. The study employed a mixed-method approach that combined quantitative and qualitative data collection. Quantitative data were collected from respondents (statisticians who participated in the internship programme and were permanently employed at the time of the study) through an online survey, and qualitative data were collected from managers (who served as mentors to the interns) through conducting semi-structured, one-on-one interviews. Documents pertaining to the internship programme in place at Statistics South Africa were also studied. Many developing countries still lack the capacity to produce, analyse and use the range of quality statistics required to support effective development progress. This study suggested a new way of integrating the formal learning with the informal workplace learning of statisticians, which involved adding a practical component (an internship) to the formal learning of statisticians, therefore, combining an internship during formal learning with an internship upon the completion of formal learning. In this way, statisticians are better capacitated because they can apply their formally obtained knowledge and skills in practice both while being engaged in their formal studies as well as after completing their studies, ensuring integration between formal and informal workplace learning. Crucial factors that would play a role in ensuring success are, for instance, if intern statisticians are placed in areas that are commensurate with their formal learning (thus ensuring utilisation of their skills) and if the level of the tasks assigned to them matches their cognitive ability. Support for interns’ informal learning in the form of mentorship, developmental assignments and training and development opportunities are also crucial to ensure integration between their formal learning and informal workplace learning. / Educational Leadership and Management / D. Ed. (Education Management)

The study was aimed at exploring the relationship between poverty and aggravated robbery in Limpopo Province. Sampled secondary data of aggravated robbery of- fenders, obtained from the South African Police (SAPS), Polokwane, was used in the analysis. From empirical researches on poverty and crime, there are some deductions that vulnerability to crime is increased by poverty. Poverty set was categorised by gender, employment status, marital status, race, age and educational attainment. Variables for aggravated robbery were house robbery, bank robbery, street/common robbery, carjacking, truck hijacking, cash-in-transit and business robbery. Canonical correlation analysis was used to make some inferences about the relationship of these two sets. The results revealed a signi cant positive correlation of 0.219(p-value = 0.025) between poverty and aggravated robbery at ve per cent signi cance level. Of the thirteen variables entered into the poverty-aggravated model, ve emerged as sta- tistically signi cant. These were gender, marital status, employment status, common robbery and business robbery. / Mathematical Sciences / M. Sc. (Statistics)

Thesis (MTh)--Stellenbosch University, 2000 / ENGLISH ABSTRACT: In South Africa and the rest of the world research is being conducted on the growth and decline of the Christian church and specific denominations. Most congregations keep record of their membership. These data are very useful. However national census data on religion, when available, bring a neutral dimension to the statistics. Census data in most cases provide the only reliable means of establishing religious affiliations of the population at a certain point in time or over a certain period. Since the 1911 national census respondents are being asked to state their religious affiliation. It is essential that the data of these censuses are available in a database. This basic data can then be used to make different combinations and do certain calculations. Different denominations can be combined into families to compare their percentage markets hare of the total population and of the Christian church. If all census data are made compatible with each other it is possible to establish trends over a longer period. When the Census '96 data was made available by Stats SA it was important to prepare the data so that it could be studied en compared with previous census data. This study attempts to do this. It seems that the biggest determining factor in the religious topography of South Africa is the religious shifts that happen amongst the Black population. The biggest percentage Christians belong to the mainline denominations while the Africa Independent Churches have the second most. To compare different denominations with one another over a longer period of time is a difficult task. Inconsistencies with which data are treated as well as the political instability in South Africa are two important factors that hamper the research. The fact that the question regarding religious affiliation was made optional since 1991 complicates the issue even further. The Christian church in South Africa grew from 1911 to 1980 and then started to decline. Membership of both the African Independent Churches and Pentecostal/Charismatic churches are growing. Since 1991 respondents who indicate that they have no religion are growing amongst all population groups. / AFRIKAANSE OPSOMMING: Wereldwyd en spesifiek in Suid-Afrika word navorsing gedoen oor die groei- en kwyntendense van die kerk in die algemeen asook van verskillende denominasies. Meeste denominasies hou rekord van hulle eie lidmaatskap. Hierdie data is baie waardevol. Nasionale sensus data ten opsigte van geloof, aan die ander kant, bring 'n neutrale dimensie aan die statistiek. Sensus data verskaf dikwels die enigste betroubare inligting oor 'n bevolking se geloofsorientasie op 'n spesifieke stadium of oor 'n langer periode. In Suid-Afrika word sedert die 1911 sensus aan respondente gevra om, as deel van die vraelys, hulle geloofsaffiliasie te verskaf. Dit is dus essensieel dat hierdie data van die nasionale sensusse in 'n databasis beskikbaar sal wees. Die basiese data kan gebruik word om verskillende groeperings en berekenings te maak. Verskillende denominasies kan saam gegroepeer word en hulle persentasie markaandeel van die totale bevolking sowel as van die Christelike kerk kan met mekaar vergelyk word. Indien al die vorige sensusse se data op dieselfde manier verwerk word, kan vergelykings oor 'n langer termyn gemaak word ten einde tendense vas te stel. Toe die data van Sensus '96 beskikbaar word, moes dit verwerk word sodat dit enersyds opsigself bestudeer kan word en andersyds met vorige sensusse se data vergelyk kon word. Dit is wat hierdie studie poog om te doen: Om Sensus '96 se data ten opsigte van geloof te verwerk en te vergelyk met vorige nasionale sensusse se data. Dit blyk dat die grootste bepalende faktor in die godsdienstige topografie van Suid-Afrika die godsdienstige verskuiwinge van die Swart bevolking is. Die grootste persentasie Christene behoort aan die Gevestigde Kerke terwyl die Onafhanklike Afrika Kerke die tweede grootste aanhang geniet. Om verskillende denominasies met mekaar oor 'n langer peri ode te vergelyk, is geen rnaklike taak nie. Data wat nie konsekwent hanteer word nie en politieke onstabiliteit sedert die 1960's in Suid-Afrika is maar twee van die problerne. Die feit dat die vraag sedert 1991 opsioneel is, kornpliseer navorsing verder. Die Christelike Kerk het 'n periode van groei van 1911 tot 1980 beleef en daarna begin kwyn. Die lidmate van die Onafhanklike Afrika Kerke sowel as van die Pinkster/Charismatiese Kerke toon 'n stygende tendens. Sedert 1991 styg die respondente wat aangedui het dat hulle aan geen geloof behoort nie, onder al die bevolkingsgroepe.