Statistical And Non Probabilistic Methods

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3.7 Sampling Procedures and Techniques.
3.7.1 Sampling Method

The researcher will be using a combination of both probabilistic and non-probabilistic method as the research is largely qualitative in nature but there are elements of a quantitative nature. By using a combination of sampling methods it will allow the research to be more realistic and not skewed. The researcher will apply a non-probability – purposive method and using the Heterogeneous sampling technique while analyzing the phenomenon at InterChem Limited as well as a probability technique of a cluster to ascertain the influence of strategic innovation in the SME sector.
3.7.2 Sample Size
The researcher will be using a census as a result of the population size to ascertain the influence of strategic innovation on Interchem. According to the central limit theorem which states that if the minimum number with the sample is 50 or less then a census should be conducted. This is the most appropriate technique to use due to the size of the population. The population at InterChem limited is below 30 and they will be developed as the sample frame. The nature of this research is a case study of Interchem Limited and how strategic innovation can influences it as an SME.

3.8 Data Analysis Technique
3.8.1 Data analysis plan.

The researcher will use largely qualitative data analysis which according to Glaser (1992) is any analysis that produces findings or concepts as in grounded theory that are not arrived at by
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