Sample Collection Engineering In A Scientific Research

Sample Collection Technique (Pixabay)

YOGYAKARTA "Sampling is an important series of scientific research to do. The sample is taken as one of the research ingredients that will be researched to produce a scientific conclusion. To do so, researchers must understand sampling techniques so as not to violate research principles.

In an article entitled General Sample Collection Engineering in Research Methodology: Literature Review published in the Scientific Journal of Holistic Education (JIPH) it is explained that sampling is a technique or procedure for researching.

Sampling is taken systematically to select a number of items or individuals that are relatively smaller (subsets) from the existing population so that they can be used as subjects or data sources. Later the subject will become an observational material or experiment according to its objectives

Sampling can be done technically according to needs. The technique of taking samples itself is divided into two main categories, namely probability samples and non-probability samples.

The probability sampling means that all items in a population have the same opportunity to be included in the sample. Probability techniques are generally better in population representation, but the resources needed are more because they involve more and wider samples. This category is divided into several techniques, namely as follows.

Non-probability sampling is associated with qualitative research. The study of the study of the case focused on small samples and was used to research phenomena in life. This research is not used to draw conclusions in the form of statistics.

Non-probability techniques are not as difficult as probability sampling techniques. On the other hand, non-probability techniques are simpler and more flexible. Unfortunately, they are more susceptible to bias and are less suitable for results to be generalized. This sampling technique has several kinds, namely as follows.

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