Sampling Designs and Techniques

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SamplingDesigns and Techniques

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Thesampling fraction is the result of dividing the sample size by thepopulation size. If the sample size is 600 households, and the totalpopulation is 6125, the sampling fraction is the result of dividing600 by 6125, which is 0.098.

Iwould use the simple random sampling method. It results in a fairrepresentation of the total population because each member has anequal chance of making it to the test sample. The steps to followinclude defining the population size, choosing the size of the testsample, making a list of all the members of the population, assigningnumbers to all the individual members, choosing random numbers amongthe numbers allocated to the units, and selecting members as thesample.

Asystematic sampling method involves selecting a sample from a largerpopulation using a starting point and a set periodic interval. Itconsists of several unique steps that include creating a list of allthe members of the population, assigning numbers to all the members,choosing a beginning number, setting an interval, and developing alist for picking the numbers based on the interval number from thestart point. The selected numbers make up the sample obtained fromthe population.

Oneadvantage systematic sampling has over simple random sampling is thatthe former is much easier to execute than the latter, especially ifthe sample size is large or one needs more than one sample from apopulation. It also offers a degree of control to the researcher,which is helpful for studies that have strict parameters. Aninvestigator can adjust the sampling to fit into the parameters.Unlike the simple random sampling, systematic sampling eliminates thechances of obtaining a clustered selection. It, therefore, gives abetter representation of the population than simple randomsamplingTopof Form.