Types of sampling method in research
For example, in a study of the health outcomes of nursing staff in a county, if there are three hospitals each with different numbers of nursing staff hospital A has nurses, hospital B has and hospital C hasthen it would be appropriate to choose the sample numbers from each hospital proportionally e.
We have to work out the relative percentage of each group at a university e. For example, if a drug manufacturer would like to research the adverse side effects of a drug on the population of the country, it is close to impossible to be able to conduct a research study that involves everyone.
This approach is often used by the media when canvassing the public for opinions and in qualitative research. We might divide the population into groups or strata, based on geography - north, east, south, and west.
What are the 4 types of sampling
Also known as deliberate sampling, the participants are selected solely on the basis of research requirements and elements who do not suffice the purpose are kept out of the sample. The extent of homogeneity of a population usually depends upon the nature of the research e. When inferring to the population, results are reported plus or minus the sampling error. Sample statistic. Then, members from each sub-group are randomly selected. One of the problems that can occur when selecting a sample from a target population is sampling bias. However, it requires knowledge of the appropriate characteristics of the sampling frame the details of which are not always available , and it can be difficult to decide which characteristic s to stratify by. Each student has equal chance of getting selected. The more representative the sample, the more confident the researcher can be that the results can be generalized to the target population. We will divide total population over the desired sample e. For example, if a researcher wants to study the impact of drugs abuse on health. For example, to study impacts of domestic violence on children, the researcher will not interview all the children but will interview only those children who are subjected to domestic violence. Stratified Sampling The researcher identifies the different types of people that make up the target population and works out the proportions needed for the sample to be representative. All members of the selected households clusters are included in the survey.
Snow-ball Sampling Snow-ball sampling is also called chain sampling. Systematic sampling Individuals are selected at regular intervals from the sampling frame. In most situations, output of a survey conducted with a non-probable sample leads to skewed results, which may not totally represent the desired target population.
Snow-ball sampling is adopted in situations where it is difficult to identify the members of the sample. Quota sampling This method of sampling is often used by market researchers.
based on 30 review