Dissertation sampling

Alkassim To cite this article: Comparison of Convenience Sampling and Purposive Sampling.

Dissertation sampling

Writing up the Sampling Strategy section of your Research Strategy chapter Understanding the key terms and basic principles of sampling The purpose of sampling is to improve the quality of your findings by ensuring that the units you are studying are representative of the broader population that interests you.

Dissertation sampling

Example Imagine we were using structured interviews i. It would not be feasible or necessarily desirable for us to interview all 10, students i. This would take a long time, could cost a lot of money, and would not necessarily lead to a significant improvement in our findings.

Dissertation sampling

Dissertation sampling, we use sampling techniques to select a smaller number of these units i. In total, these units make up our sample. If we selected a sample size of units, we would need to interview students.

We could select these units using a variety of sampling techniques, which are broadly grouped into probability sampling techniques and non-probability sampling techniques. The goals of these sampling techniques vary.


Some aim to ensure that the sample you use is representative of i. Others help you to select samples based on specific theoretical criteria you are interested in e. Others still simply aim to make it easier and less costly to select units for your sample e.

Sampling Strategy: A dissertation guide | Lærd Dissertation Which type you use for your data depends on the type of measurement scale used and how your collected data are distributed. T-Test Assumptions The t-test is a parametric statistic and perhaps one of the simplest analyses used in dissertation and thesis research.
Purposive sampling | Lærd Dissertation For other English language qualifications we accept, please see our English language requirements webpages.
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Geography BA Hons (L) | Lancaster University Even if they understand clearly their topic, have numerous ideas and range of conclusions to write about, they still need to understand what will be the presentation plan of their academic writing.

If you are new to sampling, many of these basic principles and key terms of sampling, including units, sample, sample size, sampling frame, population, probability and non-probability sampling, and so forth, may be unfamiliar to you.

In the article, Sampling: The basicswe discuss each of these key terms and basic principles in more depth. Choosing your sampling strategy and sampling technique Once you understand these basic principles and key terms of sampling, you need to start thinking about the overall sampling strategy that you will use to collect the data needed for your dissertation.

This sampling strategy, in turn, influences the choice of sampling technique that you use to select your sample, whether this is a probability or non-probability sampling technique.

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We have explained more about these two groups of sampling techniques in the articles, Probability sampling and Non-probability sampling. One of the most important things to think about when choosing the most appropriate sampling strategy for your dissertation is the overall research strategy that you are using.

This is because the different components of your research strategy i. For example Dissertations that draw on a post-positivist research paradigm, a quantitative research design and a questionnaire as their research method would ideally use a probability sampling technique e.

By contrast, dissertations that draw on a constructivist research paradigm, a qualitative research design e. Writing up the Sampling Strategy section of your Research Strategy chapter When you have decided what sampling strategy you plan to use or after you have actually carried out your research, you will need to write up the Sampling Strategy section of your Research Strategy chapter.

To help you do this, we suggest following the four steps below: Describe what you are studying Explain the types of sampling technique available to you State and describe the sampling strategy you used Justify your choice of sampling strategy In the article, How to structure the Sampling Strategy section of your dissertationwe discuss each of these steps, providing an example to illustrate how to write up the Sampling Strategy section.

However, if you are still just trying to get to grips with sampling, we recommend that you start by reading the article, Sampling:research dissertation for the degree msc environmental management in the department of environmental science university of south africa topic.

Overall, the types of non-probability sampling technique you are likely to come across include quota sampling, purposive sampling, convenience sampling, snowball sampling and self-section sampling. We discuss non-probability sampling in more detail in the article, Non-probability sampling.

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In the field of digital signal processing, the sampling theorem is a fundamental bridge between continuous-time signals (often called "analog signals") and discrete-time signals (often called "digital signals").

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