Proper organization is among the commonest conventions that should be strictly followed, so make sure that your paper consists of the right structural components. The following explanations will help you understand how to organize your project and what information to include in the basic parts of your work.
Expert sampling Maximum variation sampling 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.
By conditions, we mean the units i.
These units may exhibit a wide range of attributes, behaviours, experiences, incidents, qualities, situations, and so forth.
The basic principle behind maximum variation sampling is to gain greater insights into a phenomenon by looking at it from all angles. This can often help the researcher to identify common themes that are evident across the sample.
Homogeneous sampling Homogeneous sampling is a purposive sampling technique that aims to achieve a homogeneous sample; that is, a sample whose units e. In this respect, homogeneous sampling is the opposite of maximum Dissertation results section qualitative sampling.
A homogeneous sample is often chosen when the research question that is being address is specific to the characteristics of the particular group of interest, which is subsequently examined in detail. The word typical does not mean that the sample is representative in the sense of probability sampling i.
Rather, the word typical means that the researcher has the ability to compare the findings from a study using typical case sampling with other similar samples i. 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.
Whilst typical case sampling can be used exclusively, it may also follow another type of purposive sampling technique, such as maximum variation sampling, which can help to act as an exploratory sampling strategy to identify the typical cases that are subsequently selected.
Extreme or deviant case sampling Extreme or deviant case sampling is a type of purposive sampling that is used to focus on cases that are special or unusual, typically in the sense that the cases highlight notable outcomes, failures or successes.
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.
In some cases, extreme or deviant case sampling is thought to reflect the purest form of insight into the phenomenon being studied. Critical case sampling 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.
It is this decisive aspect of critical case sampling that is arguably the most important. To know if a case is decisive, think about the following statements: If it happens there, it will happen anywhere?
If that group is having problems, then we can be sure all the groups are having problems? Whilst such critical cases should not be used to make statistical generalisations, it can be argued that they can help in making logical generalisations.
However, such logical generalisations should be made carefully.
Total population sampling Total population sampling is a type of purposive sampling technique where you choose to examine the entire population i. In such cases, the entire population is often chosen because the size of the population that has the particular set of characteristics that you are interest in is very small.
Therefore, if a small number of units i. Expert sampling Expert sampling is a type of purposive sampling technique that is used when your research needs to glean knowledge from individuals that have particular expertise.
This expertise may be required during the exploratory phase of qualitative research, highlighting potential new areas of interest or opening doors to other participants.Oct 11, · It is common practice to include some discussion within the results section of qualitative research and follow with a concluding discussion.
The author also should reflect on their own influence on the data, including a consideration of how the researcher(s) may have introduced bias to the results. Information about the limitations of your study are generally placed either at the beginning of the discussion section of your paper so the reader knows and understands the limitations before reading the rest of your analysis of the findings, or, the limitations are outlined at the conclusion of the discussion section as an acknowledgement of the need for further study.
Once you complete the results section of your dissertation, you will likely feel like you've accomplished something comparable to a marathon. And it feels great, doesn't it? As we have seen, writing up qualitative results is easier than writing quantitative results.
In a quantitative dissertation or capstone you will be presenting your results. You may present your results with or without a discussion explaining what those results mean.
You will want to consult your chair to make sure you are following the approach. Thesis or Dissertation.
S. Joseph Levine, Ph.D. Michigan State University East Lansing, Michigan USA ([email protected])) Become a Fan. Introduction. This guide has been created to assist my graduate students in thinking through the many aspects of crafting, implementing and defending a thesis or dissertation.
The methods section describes actions to be taken to investigate a research problem and the rationale for the application of specific procedures or techniques used to identify, select, process, and analyze information applied to understanding the problem, thereby, allowing the reader to critically evaluate a study’s overall validity and reliability.