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Purposive sampling is a non-probability sampling method and it occurs when “elements selected for the sample are chosen by the judgment of the researcher. Researchers often believe that they can obtain a representative sample by using a sound judgment, which will result in saving time and money”. A purposive sample, also referred to as a judgmental or expert sample, is a type of nonprobability sample. The main objective of a purposive sample is to produce a sample that can be logically assumed to be representative of the population. This is often accomplished by applying expert knowledge of the population to select in a nonrandom manner a sample of elements that represents a cross.

Sampling methods are broadly divided into two categories: probability and non-probability. In probability sampling every member of population has a known chance of participating in the study. Probability sampling methods include simple, stratified systematic, multistage, and cluster sampling methods. Research is a scientific process of investigation and experimentation that involves the systematic collection, analysis and interpretation of data to answer a certain question or solve problem. Hence, being systematic it has certain methods and. Purposive sampling, also known as judgmental, selective, or subjective sampling, is a form of non-probability sampling in which researchers rely on their own judgment when choosing members of the population to participate in their study. This sampling method requires researchers to have prior knowledge about. Purposeful sampling is probably the most commonly described means of sampling in the qualitative methods literature today. Perhaps reflecting an awareness of this influence, Patton expanded his typology from 16 purposeful sampling options in the third edition 2002 to 40 options in the fourth edition 2015.

Purposive Sampling.Patton 1990 has proposed the following cases of purposive sampling. Purposive sampling is popular in qualitative research. Extreme or Deviant Case – Learning from highly unusual manifestations of the phenomenon of interest, such as outstanding success/notable failures, top of the class/dropouts, exotic events, crises. Sampling Methods in Research Methodology; How to Choose a Sampling Technique for Research Article PDF Available in SSRN Electronic Journal 52:18-27 · January 2016 with 303,346 Reads.

Maximum variation sampling, also known as heterogeneous sampling, is a purposive sampling technique used to capture a wide range of perspectives relating to the thing that you are interested in studying; that is, maximum variation sampling is a search for variation in perspectives, ranging from those conditions that are view to be typical through to those that are more extreme in nature. A sample is a part of the population that is subject to research and used to represent the entire population as a whole. What is crucial here is to study a sample that provides a true picture of the whole group. Often, it’s not possible to contact every member of the population. Purposeful sampling is widely used in qualitative research for the identification and selection of information-rich cases related to the phenomenon of interest. Although there are several different purposeful sampling strategies, criterion sampling appears to be.

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