View/Open - University of Zululand Institutional Repository
View/Open - University of Zululand Institutional Repository View/Open - University of Zululand Institutional Repository
4.2 RESEARCH DESIGN This section provides further details on the sampling technique adopted in the survey. It also presents the data collection method used. Moreover, the section describes the instrumentation and data types involving spatial and attribute data. 4.2.1 Sampling A cluster sampling technique was used to collect data. This method sets up homogeneous groups and then selects within these groups in the proportions in which these groups are represented within the sample (Baker 1988). The urban part of the municipality was classified into A, B south, B north, C and 0 sections and had 760, 1019, 1162, 1374 and 1974 households respectively (Figure 4.1). Using this classification as the sampling frame of the study, 2% of each section was proportionally sampled bearing in mind the divergent socio economic background ofthe residents in each section. This method offered a sample size of 276 households, representing 2% ofthe total number of households in urban Ulundi. A sample size often out of 100 homesteads in the Mbhoshongweni rural area were chosen in this research. About 25 out of 250 households in Mkhazane rural area were also included as part ofthe rural sample. Mtikini. Mabedlane and Mbangayiya rural areas had household sizes of42,63 and 77 respectively. The research design ofthis study incorporated 10% ofeach of the rural areas mentioned. The pilot survey suggests that over fifty percent of the household heads in the five spatial units are from the surrounding rural areas of Ulundi. The traditional leadership which oversees the activities ofthe rural areas was interviewed using open-ended questions about the socio-economic conditions and development in these areas. The ward councillor responsible for the rural areas was interviewed on the sustainability of community development projects and job creation using the landscape and cultural attributes. The current census and other secondary sources of information provided the basis for the digital spatial data. This served as the spatial basis for evaluating the effectiveness and efficiency of landscape and cultural attributes uses in the local economic development ofthe Ulundi Local Municipal. 91
FIGURE 4.1: THE FIVE SPATIAL UNITS IN THE ULUNDI LOCAL MUNICIPALITY 92
- Page 59 and 60: Many cities are really too large an
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4.2 RESEARCH DESIGN<br />
This section provides further details on the sampling technique adopted in the survey. It also<br />
presents the data collection method used. Moreover, the section describes the instrumentation<br />
and data types involving spatial and attribute data.<br />
4.2.1 Sampling<br />
A cluster sampling technique was used to collect data. This method sets up homogeneous<br />
groups and then selects within these groups in the proportions in which these groups are<br />
represented within the sample (Baker 1988). The urban part <strong>of</strong> the municipality was<br />
classified into A, B south, B north, C and 0 sections and had 760, 1019, 1162, 1374 and 1974<br />
households respectively (Figure 4.1). Using this classification as the sampling frame <strong>of</strong> the<br />
study, 2% <strong>of</strong> each section was proportionally sampled bearing in mind the divergent socio<br />
economic background <strong>of</strong>the residents in each section. This method <strong>of</strong>fered a sample size <strong>of</strong><br />
276 households, representing 2% <strong>of</strong>the total number <strong>of</strong> households in urban Ulundi.<br />
A sample size <strong>of</strong>ten out <strong>of</strong> 100 homesteads in the Mbhoshongweni rural area were chosen in<br />
this research. About 25 out <strong>of</strong> 250 households in Mkhazane rural area were also included as<br />
part <strong>of</strong>the rural sample. Mtikini. Mabedlane and Mbangayiya rural areas had household sizes<br />
<strong>of</strong>42,63 and 77 respectively. The research design <strong>of</strong>this study incorporated 10% <strong>of</strong>each <strong>of</strong><br />
the rural areas mentioned. The pilot survey suggests that over fifty percent <strong>of</strong> the household<br />
heads in the five spatial units are from the surrounding rural areas <strong>of</strong> Ulundi. The traditional<br />
leadership which oversees the activities <strong>of</strong>the rural areas was interviewed using open-ended<br />
questions about the socio-economic conditions and development in these areas. The ward<br />
councillor responsible for the rural areas was interviewed on the sustainability <strong>of</strong> community<br />
development projects and job creation using the landscape and cultural attributes. The current<br />
census and other secondary sources <strong>of</strong> information provided the basis for the digital spatial<br />
data. This served as the spatial basis for evaluating the effectiveness and efficiency <strong>of</strong><br />
landscape and cultural attributes uses in the local economic development <strong>of</strong>the Ulundi Local<br />
Municipal.<br />
91