Evaluating methods and recruitment

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Evaluating Methods and Recruitment

According to Schensul & LeCompte, (2013). Sampling enables us to know something about the populations under study and the sample size is important and this mainly influenced by the type of data that one is looking for. There are two types of data, discrete data which is countable and continuous data that is measured on a continuum, for instance, weight, and height. A sample size of 30 is considered satisfactory for these kind of data and that I am considering for my study.

How to recruit for your sample?

You need to make sure that you have the correct type of sample to be able to answer your research questions. There are two methods of sampling: probability and non-probability sampling. For the sake of these study I will use the random sampling techniques which fall under the probability type of sampling. Random sampling comprises of simple random sampling, which is the most basic of them all.

To get a sample one need a sampling frame to select a number of population elements to be used in the study. In stratified random sampling, the researcher divides the population into homogenous subsets called strata and then samples are picked from these groups. Cluster sampling is another type of random sampling methods, used when a large geographical area is to be studied .Under this method areas are divided into regions and then samples are picked from certain regions. Finally, there is the systematic sampling where one has a formula for selecting samples at at a given interval such as every 2nd, 3rd and 10th (Schensul & LeCompte, 2013).

Reference

Schensul, S. L., Schensul, J. J., & LeCompte, M. D. (2013). *Initiating ethnographic research: A mixed methods approach*. Lanham: AltaMira Press, a division of Rowman & Littlefield.