Sampling design is a very important tool in any research. It entails selection of a subset of a given population normally referred to as a sample and carrying a concrete analysis on it. It goes beyond that and identifies the characteristics of the sample and still justifies and explains the reason for choosing such a sample. The sampling design should be precise to represent the entire population. In addition it should be cost effective and also should enhance faster collection of data as compared to the entire population. This is to imply that the design should also focus on time efficiency that is, it should be time conscious (Johnson, 2010). In answering the research questions how does the implementation of the Six Sigma Training Program affect costs? and how does the implementation of the Six Sigma Training Program affect the quality of the outputs of an organization?, the appropriate sampling design to use is the simple sampling design which is a probability sampling design. In simple random sampling design each item under study has equal chance to be chosen. With this argument, this design will be very helpful in studying the Six Sigma training program as the sample will at the end be able to sum up information of the whole population. This design has many advantages compared to other sampling design thus makings it appropriate for this study. First, it is free from any classification error as compared to other complex designs such as stratified sampling design where classification error is the order. In addition, it is simple thus easy to interpret and analyze data. Moreover, due to its simplicity the design is economical both moneywise and in terms of resource management. This is unlike other approaches like cluster sampling and stratified sampling where the sample has to be subdivided further thus making them to be uneconomical. It simplicity makes it to be time effective thus any researcher using the design uses less time as compared to other approaches say stratified sampling design. This approach will thus suit this study following the above mentioned advantages (Lohr, 1999).
References
Johnson, G. (2010). Research Methods for Public Administrators.2nd Edition. New York: M.E. Sharpe.
Lohr, S. L. (1999). Sampling: design and analysis. Pacific Grove, CA: Duxbury Press.
