The sampling strategy that you select in your dissertation should naturally flow from your chosen research design and research methods , as well as taking into account issues of research ethics. To set the sampling strategy that you will use in your dissertation, you need to follow three steps: a understand the key terms and basic principles ; b determine which sampling technique you will use to select the units that will make up your sample; and c consider the practicalities of choosing such a sampling strategy for your dissertation e. If you are already confident that you understand these basic principles of sampling, we introduce you to the two major groups of sampling techniques that you could use to select the units that you will include in your sample:. Probability sampling techniques , which include simple random sampling , systematic random sampling and stratified random sampling.
Quota sampling - Research Methodology
Published on September 19, by Shona McCombes. Revised on April 23, Instead, you select a sample. The sample is the group of individuals who will actually participate in the research. To draw valid conclusions from your results, you have to carefully decide how you will select a sample that is representative of the group as a whole. There are two types of sampling methods:.
Purposive sampling technique thesis proposal
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Quota sampling method is a non-probability sampling and it can be defined as a sampling method of gathering representative data from a group. Application of quota sampling ensures that sample group represents certain characteristics of the population chosen by the researcher. Quota sampling can be divided into two groups: controlled and uncontrolled. The main difference between quota and stratified sampling can be explained in a way that in quota sampling researchers use non-random sampling methods to gather data from one stratum until the required quota fixed by the researcher is fulfilled. Accordingly, the quota is based on the proportion of subclasses in the population.