UNIVERSITY OF GHANA INSTITUTE OF AFRICAN STUDIES AFST: 601 RESARCH METHODS ESTHER NAA DODUA DARKU STUDENT NUMBER: 10357492 WHAT IS SAMPLING. WHAT be THE MERITS AND DEMERITS OF using BOTH PROBABILITY AND NON-PROBABILITY SAMPLING METHODS? Research has been peerless of the tools that human beings has apply in investigating, understanding and added knowledge to the domain around him. The sciences have devised many ways of enquiring or look into the world. However, in using any of the various methods available, scientists argon face with the bother of having to deal with the accurate universe or cosmos which in most cases too large and expensive to take a shit with, considering age and money. This calls for the need to utilize trys. Sampling therefore enables the detective to handily make findings about the population and these findings can be use in making generalization about the entire population. In other words, take in is a process of selecting a theatrical performance out of an entire population. The representation selected is called the experiment and the population in this sense is the actual number of actual cases or events from which the researcher draws from.
This essay looks at the various methods of sampling, how they are used in research, their advantages and disadvantages. Sampling methods can be categorise broadly into twain; chance sampling and Non- hazard sampling. Probability sampling is mainly used in the natural sciences. It makes use of inferential statistical methods for analyzing data collected (mean, median, probability et! c.). on that point are various types of probability sampling. They are: simple random sampling, systematic random sampling, stratify random sampling, cluster sampling,. These types of sampling methods employ purposeful cream of samples. Thus sampling is through with(p) using a sample frame. A sample frame is a complete amount in which each whole of analysis is mentioned only once. In this way the...If you want to shorten a full essay, aim it on our website: BestEssayCheap.com
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