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6.12.6 Data analvsis and presentation
The completed 400 questionnaires and case studies formed the basis of data
analysis and interpretations. A coding scheme was developed for the
questionnaires and input into the Statistical Package for Social Sciences
(SPSS). Data was then analyzed using descriptive statistics where
frequencies, percentages, means and p-values were calculated. Data was
then presented accordingly. Relationships among variables and
interpretations were also made.
According to Mugenda and Mugenda (1999:174) content analysis involves
logical groupings of data with similar messages. In this study, open-ended
responses and recorded interviews were analysed using content analysis,
methodology.
6.13 Problems encountered
A major problem that was encountered by this study involved distance. This
is because most rural women in both South Africa and Kenya reside in
marginalised areas that have poor road infrastructure. The researcher was
therefore forced to hire a vehicle for transportation in order to conduct the
field survey. This exercise proved very costly.
Most rural households are also widely dispersed from one another. The
researcher was therefore forced to travel long distances in search of
respondents. This was very time consuming.
6.14 Summary
The chapter has discussed the research methods, designs and techniques
applied in the study. The survey research method and case study was
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