The probability sampling technique provides equal opportunities for each member of the population to be selected as a sample.Ģ. Based on the example above, it can be concluded that the differences in probability sampling techniques and nonprobability sampling are:ġ. If the researcher does not have a sample frame, the researcher can use non-probability sampling techniques. What if the population members are not homogeneous and the population is divided into several strata whose members are each homogeneous? This sampling technique can use stratified random sampling, which will be reviewed in this article. The second assumption must be fulfilled when researchers use the probability sampling technique is that the population members are homogeneous. The next thing that needs to be considered by researchers when they want to use probability sampling is the homogeneity of the data. For example, when a researcher observes organic rice consumers in region A, the researcher must already know the total population of organic rice consumers in region A.įurthermore, for example, the total population of organic rice consumers is 1000 people. When researchers choose to use probability sampling, it is assumed that a sample frame is available. The difference between the two lies in the presence or absence of a sample frame. Sampling techniques can be divided into probability sampling techniques and nonprobability sampling. What are the differences between the two sampling techniques? The difference between probability sampling and non-probability sampling As I have reviewed in previous articles, the sampling is divided into two: probability sampling and non-probability sampling.

The sampling frame of a population will determine the appropriate sampling technique. To determine a sample from a population, a researcher must already have a sample frame. Therefore, when taking samples for observation, you must consider several requirements for the sampling technique. It is intended that the conclusions obtained from the sample observations can represent the population being observed. Therefore, taking samples from the population using scientific principles will reduce costs and time in research activities.įollowing what I have written in the previous paragraph, the sampling must comply with scientific principles. If a researcher observes a population of a large size, the researcher will need high time and costs. The purpose of taking samples from a population is to save costs and time in research activities. A researcher can take samples from the population for observation and research activities.

Stratified proportional random sampling