Laerd dissertation purposive sampling

Non-probability sampling can also be particularly useful in exploratory research where the aim is to find out if a problem or issue even exists in a quick and inexpensive way.

The assumption is that there is possibility of representative types in the whole population that makes sampling possible. Therefore, if you failed to include a small number of units e.

Purposive sampling advantages and disadvantages

Related Articles:. It is this decisive aspect of critical case sampling that is arguably the most important. Homogeneity amidst complexity: Although there is complexity in socio-legal phenomena, there appears dominantal unity in diversity. Identify the population of interest8 A population is the group of people that you want to make assumptions about. Maximum variation sampling18 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 researchers 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. Collectively, these units form the sample that the researcher studies [see our article, Sampling: The basics , to learn more about terms such as unit, sample and population]. It starts with a purpose in mind and the sample is thus selected to include people of interest and exclude those who do not suit the purpose. Advantages and disadvantages of total population sampling What is total population sampling? A researcher may have a specific group in mind, such as high level business executives. This could significantly diminish the potential for researchers to samplibg certain types of population, such as those populations that are hidden or hard-to-reach e. We explain what each of these types of sampling technique are, how to create them, and their advantages and disadvantages. When following a qualitative research design, non-probability sampling techniques, such as purposive sampling, can provide researchers with strong theoretical reasons for their choice of units or cases to be included in their sample. These units can be people, cases e. In addition, you need to decide whether non-probability sampling is appropriate based on the research strategy you have chosen to guide your dissertation.

I still won't be able to study every single student at her university, but that's a good place from which to draw my sample. Alternately, the particular expertise that is being investigated may form the basis of your research, requiring a focus only on individuals with such specific expertise.

For example, critical case sampling may be used to investigate whether a phenomenon is worth investigating further, before adopting a maximum variation sampling technique is used to develop a wider picture of the phenomenon. These extreme or deviant cases are useful because they often provide significant insight into a particular phenomenon, which can act as lessons or cases of best practice that guide future research and practice.

purposive sampling example

It is very useful when some of the units are very important and must be included. Non-probability sampling techniques can often be viewed in such a way because units are not selected for inclusion in a sample based on random selection, unlike probability sampling techniques.

Laerd dissertation purposive sampling

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. Whilst making generalisations from the sample to the population under study may be desirable, it is more often a secondary consideration. Defining the population in terms of these characteristics will help when performing the second step: So here comes the ethical issue: By Imran Ahmad Sajid. Page 3 of 12 A sampling frame is the group of people from which you will draw your sample. For example, in homogeneous sampling, units are selected based on their having similar characteristics because such characteristics are of particular interested to the researcher. The sample being studied is not representative of the population, but for researchers pursuing qualitative or mixed methods research designs, this is not considered to be a weakness. A core characteristic of non-probability sampling techniques is that samples are selected based on the subjective judgement of the researcher, rather than random selection i. So here comes the ethical issue: The researcher does not require cent percent accuracy. Units can be people, cases e. A researcher may have a specific group in mind, such as high level business executives.

If it happens there, it will happen anywhere? As a result, researchers following a quantitative research design often feel that they are forced to use non-probability sampling techniques because of some inability to use probability sampling e.

Maximum variation sampling18 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 researchers 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.

Defining the population in terms of these characteristics will help when performing the second step: So here comes the ethical issue: By Imran Ahmad Sajid.

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Laerd Dissertation () Purposive Sampling.