D Q. 14-6
It will largely depend on what the research intends to achieve. For instance, supposing the intention of data collection gathers ideas behind patronizing certain types of music, and there are no intentions to conduct inferential analysis on the data, heterogeneous sampling will be appropriate. Some of the techniques that can be used in heterogeneous sampling include conducting panel sessions, plain group discussions or brainstorming sessions (Collis, & Hussey, 2013). On the other hand, if the data collection exercise intends to investigate the reason as to why certain types of music are favored by a larger percentage of the population, it would be appropriate to use modal sampling (Saunders, Lewis, & Thornhill, 2012). Modal sampling would involve selecting people who patronize particular music genres and conducting an interview with them to find out their reasons for liking those particular genres as opposed to others. If the investigation decides to concentrate on a particular genre, questions will be framed suit the interview. In this case, the sampling will be purposive (Jackson, 2012).
Another purposive sampling that would more appropriate the situation addressed in the question would be quota sampling. In this sampling technique, demographics and other kinds of information will be used to identify how many people from different genders will be required in the sample population (Jackson, 2012). For instance, if the researcher suspects that a particular concert had only 40% as men, then the non-probability sample population will consist of 40% men. All in all, a reasonable non-probability sample that is reliable will depend on the purpose of the investigation.
D Q. 14-7
I believe random sampling method would be appropriate to apply in this situation. The situation and the purpose for the research are objective given that the reactions of a large number of computer technicians in the organization are required. It is the purest form of sampling. To sample the computer technicians population, will require a probability technique that has a non-zero probability of selection for every computer technician in the organization. A simple random population sample would generate a sample data that is reasonably likely to provide an accurate evaluation of the morale of the large number of computer technicians (Collis, & Hussey, 2013). This method is also easy to implement and in an organization where technology is widely used, automatic dialing which is normally random and computerized voice response systems can be used to generate a representative random sample.
D Q. 14-10
Random Sampling
Random sampling requires a listing of all the population elements (Jackson, 2012). A sample frame for this sampling technique would be an up to date list of all certified public accountants in the US who are currently unemployed.
Systematic sampling
This sampling technique involves an element in the population. In the beginning, the selection is done randomly, but subsequent selections follow a pattern in which every kth element is selected (COOPER, & SCHINDLER, 2014). I believe that in this again we need to avoid a situation an element that should not be in the population is picked. Therefore, I will go for an up to date list of all certified public accountants in the US who are currently unemployed assuming that the employers are looking for accounting skills for the sample frame.
Stratified
The sampling technique involves dividing the population into strata then using simple random sampling on every stratum (COOPER, & SCHINDLER, 2014). This technique is more or less similar to random sampling as such I would go for the same sample frame as in random sampling.
Cluster
In cluster sampling the population is sub-divided, and some of the sub-groups are randomly selected for further studies (COOPER, & SCHINDLER, 2014). Here I would need a sample frame that is representative and as such, remaining with employers who are looking for accounting skills, my sample frame would be an up to date list of all certified public accountants in the US who are currently unemployed.
Double
This technique is a little complex as compared to the others. It involves collection of data from a sample while using a predefined technique (COOPER, & SCHINDLER, 2014). A sub-sample is taken again for further study. A sample frame for this technique would be an entire list of CPAs in the industry who are still active.
References
Collis, J. & Hussey, R. (2013) Business Research: A Practical Guide for Undergraduate and Postgraduate Students, 4th ed. London: Palgrave-MacMillan.
COOPER, D. & SCHINDLER, P. (2014). Business Research Methods (12th ed.). New York: McGraw-Hill Irwin.
Jackson, S. (2012). Research methods and statistics. Belmont, CA: Wadsworth Cengage Learning.
Saunders, M., Lewis, P. & Thornhill, A. (2012) Research Methods for Business Students, 6th ed. Pearson Learning Solutions
