Purposive sampling in quantitative research

If it happens there, it will happen anywhere? Representative Sampling b. All a researcher must do is reject the individuals who do not fit a particular profile when creating the sample.

However, such logical generalisations should be made carefully.

Criterion sampling

For example, in homogeneous sampling, units are selected based on their having similar characteristics because such characteristics are of particular interested to the researcher. Page 2 of 12 The assumption is that it is possible to draw a representative sample. Researchers use this technique when they are looking to examine a diverse range of cases that are all relevant to a particular phenomenon or event. Patton, , p. The population is homogenous iv. The basic principle behind maximum variation sampling is to gain greater insights into a phenomenon by looking at it from all angles. It must be such which results in a small sampling error. In other words, it can be difficult to convince the reader that the judgement you used to select units to study was appropriate. To know if a case is decisive, think about the following statements:? The researcher does not require cent percent accuracy. Hence, despite having some limitations, purposive sampling is the only possible solution when some of the units are very important cannot be missed out. It is this decisive aspect of critical case sampling that is arguably the most important.

These units may exhibit a wide range of attributes, behaviours, experiences, incidents, qualities, situations, and so forth. In other words, it can be difficult to convince the reader that the judgement you used to select units to study was appropriate.

Purposive sampling in quantitative research

Technique Options Used in Purposive Sampling Technique options include, but are not limited to, the following. By conditions, we mean the units i. One of the major benefits of purposive sampling is the wide range of sampling techniques that can be used across such qualitative research designs; purposive sampling techniques that range from homogeneous sampling through to critical case sampling, expert sampling, and more. This sampling method requires researchers to have prior knowledge about the purpose of their studies so that they can properly choose and approach eligible participants. Researchers use purposive sampling when they want to access a particular subset of people, as all participants of a study are selected because they fit a particular profile. Feel free to drop us a line in the comments below! It is this decisive aspect of critical case sampling that is arguably the most important. Thus, sampling method is employed due to which the researcher is able to provide a valid analysis even in this vast universe. The knowledge of population may not always be available. Critical case sampling22 Critical case sampling is a type of purposive sampling technique that is particularly useful in exploratory qualitative research, research with limited resources, as well as research where a single case or small number of cases can be decisive in explaining the phenomenon of interest. In other words, it can be difficult to convince the reader that the judgement you used to select units to study was appropriate. One of the major benefits of purposive sampling is the wide range of sampling techniques that can be used across such qualitative research designs; purposive sampling techniques that range from homogeneous sampling through to critical case sampling, expert sampling, and more. Expert Sampling Expert sampling is a form of purposive sampling used when research requires one to capture knowledge rooted in a particular form of expertise. By contrast, critical case sampling is frequently used in exploratory, qualitative research in order to assess whether the phenomenon of interest even exists amongst other reasons. Specify a sampling method10 There are basically two ways to choose a sample from a sampling frame: randomly or non-randomly.

Hence, despite having some limitations, purposive sampling is the only possible solution when some of the units are very important cannot be missed out.

Determine the sample size11 In general, larger samples are better, but they also require more time and effort to manage. Whilst such critical cases should not be used to make statistical generalisations, it can be argued that they can help in making logical generalisations.

Purposive sampling ppt

Page 6 of 12 greater insights into a phenomenon by looking at it from all angles. Explains cases that are average and normal. If a researcher wanted to understand the relationship between study habits and high academic achievement, he or she should purposively sample students considered high achievers. Critical Case Sampling Critical case sampling is a type of purposive sampling in which just one case is chosen for study because the researcher expects that studying it will reveal insights that can be applied to other like cases. Total population sampling Total population sampling is a type of purposive sampling technique where you choose to examine the entire population i. If a certain number of units are selected from a mass on purely random basis, every unit will have a chance of being included and the sample so selected will contain all types of units, so that it may be representative. Purposive sampling is when researchers thoroughly think through how they will establish a sample population, even if it is not statistically representative of the greater population at hand. For example, critical case sampling may be used to investigate whether a phenomenon is worth investigating further, before adopting an expert sampling approach to examine specific issues further. Loyola University, Chicago School of Law. Systematic Sampling c. Specify a sampling method10 There are basically two ways to choose a sample from a sampling frame: randomly or non-randomly.

Therefore, expert sampling is a cornerstone of a research design known as expert elicitation. While the findings from purposive sampling do not always have to be statistically representative of the greater population of interest, they are qualitatively generalizable.

At times, this method is less expensive and less time consuming.

example of purposive sampling in statistics

This allows researchers to gain as much insight from as many angles as possible. Thus, sampling method is employed due to which the researcher is able to provide a valid analysis even in this vast universe.

Purposive sampling pdf

For example, critical case sampling may be used to investigate whether a phenomenon is worth investigating further, before adopting an expert sampling approach to examine specific issues further. Homogeneity amidst complexity: Although there is complexity in socio-legal phenomena, there appears dominantal unity in diversity. Purposive sampling is when researchers thoroughly think through how they will establish a sample population, even if it is not statistically representative of the greater population at hand. By studying the deviant cases, researchers can often gain a better understanding of the more regular patterns of behavior. The researcher does not require cent percent accuracy. These units may exhibit a wide range of attributes, behaviours, experiences, incidents, qualities, situations, and so forth. For example, in life history research, some potential participants may be willing to be interviewed, but may not be able to provide sufficiently rich data. If no two units were alike in any respect the sampling would have been impossible. Homogeneous sampling Homogeneous sampling is a purposive sampling technique that aims to achieve a homogeneous sample; that is, a sample whose units e. Therefore, with typical case sampling, you cannot use the sample to make generalisations to a population, but the sample could be illustrative of other similar samples.
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Purposive sampling