Number of elements in the sample is the sample size.The difference lies between the above two is whether the sample selection is based on randomization or not.Tags: Essay On LoyaltySocial Norms Violation EssayWatson Glaser Critical Thinking Test ResultsA Typical Business PlanEssays On Banking OnlineHomework Help Hotline Number
It is used when we don’t have any kind of prior information about the target population.
For example: Random selection of 20 students from class of 50 student. Here probability of selection is 1/50Stratified Sampling This technique divides the elements of the population into small subgroups (strata) based on the similarity in such a way that the elements within the group are homogeneous and heterogeneous among the other subgroups formed.
This process continues until the cluster can’t be divided anymore.
For example country can be divided into states, cities, urban and rural and all the areas with similar characteristics can be merged together to form a strata.
There are lot of techniques which help us to gather sample depending upon the need and situation.
This blog post tries to explain some of those techniques.If you have access to a journal via a society or association membership, please browse to your society journal, select an article to view, and follow the instructions in this box.Contact us if you experience any difficulty logging in.We select our first element randomly from the first subgroup of k elements.To select other elements of sample, perform following: We know number of elements in each group is k i.e N/n So if our first element is n1 then Second element is n1 k i.e n2Third element n2 k i.e n3 and so on..Population is divided into multiple clusters and then these clusters are further divided and grouped into various sub groups (strata) based on similarity.One or more clusters can be randomly selected from each stratum.And then the elements are randomly selected from each of these strata.We need to have prior information about the population to create subgroups.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.g., what time you have available, what access you have, etc.).