When you are writing your dissertation, you have to select your sampling strategy. This strategy has greater significance in the part of your research approach section. Most students think that this strategy is only used in quantitative analysis, but they don’t know that it is equally important in qualitative research analysis. Whatever the method you use for your research, you have to define its strategy.

**What Are The Sampling Strategies?**

The sampling strategy is basically an outline that shows how you select a sample from a large population for your study. There are different types of sampling strategies for writing your dissertation. To determine which types of strategy you should use in your research, you have to follow the following rules:

- Understand the fundamental concepts and important key points of your research.
- Identify what types of sampling techniques you want to use to make a sample of populations.
- Think about the practical implications of selecting a sampling strategy.

Let’s start with the sampling strategies used for writing a dissertation.

**Sampling Techniques And Their Strategies For Dissertation Writing**

There are two types of sampling techniques that are:

- Probability sampling technique
- Non-probability sampling technique

**Probability Sampling Technique**

This is the most common technique that is used in making the sample. In this technique, you randomly select a sample of people from the population for your research. This technique provides equal opportunity to all people, whether they want to participate in the research or not. The probability sampling technique consists of three types of sampling strategies.

- Stratified Random sampling strategy
- Simple Random sampling strategy
- Systematic Random sampling strategy

**Stratified Random Sampling Strategy**

The first type of probability sampling technique is the Stratified random sampling strategy. It is used to identify the sample from the large-scale population. When you want to focus on a specific population area, you use a stratified strategy for sampling.

For example, Suppose you want to conduct research on the students of the college. Roughly 1500 students are studying at this college. These 1500 students are now your population, and you need to take a sample from your population to conduct the research. To select students randomly, you should use other types of random sampling. But if you are interested in specific types of students, you should use a stratified random sampling strategy to make the sample.

**Simple Random Sampling Strategy**

A simple Random sampling strategy is the second type of random technique. To understand this type of strategy for sampling, consider this example:

Your research is about the behaviour of society’s people. Suppose there are 500 people in a specific society. These 500 people now become your population, and you want to make a sample from the population. For this sake, you randomly select your sample from a population of 500. This sampling strategy is known as simple random sampling.

**Systematic Random Sampling Strategy**

The third and last type of random technique is the systematic random sampling strategy. Let’s take a look at the example to understand its concept:

Suppose you have to make a sample of 25 people, and you have a population of 150. To make the sample according to the systematic strategy, follow these rules.

- Divide your population by your required sample size, like 150/25, and you get an answer of 6.
- Select an integer between 1 and 6. Suppose you select 5.
- Divide your population by your selected integer, like 150/5=30.
- Write the names of your population in alphabetical order in 5 columns. Note that each column must contain 30 names as you get 30.
- Start counting from 1 to 6 continuously and highlight the rows at 5 every time you select an integer of 5. The names written in each highlighted row are included in the sample.

However, if you are facing difficulty in selecting a sample for your dissertation using systematic random sampling, you must look for the best dissertation writing services. They will help you in the selection of a sample for your research.

**Non-Probability Sampling Technique**

This sampling technique does not depend on the random selection. This technique is less in use because most researchers use the probability technique rather than this. This technique consists of two types of sampling strategy.

- Accidental sampling strategy
- Purposive sampling strategy

**Accidental Sampling Strategy**

If you want to record a sudden response from people on any topic or matter, you can use Accidental sampling strategy. News reporters or any social media anchor mostly use this strategy. This type of strategy is not applicable to the whole population.

**Purposive Sampling Strategy**

This type of sampling strategy requires your own method to select the sample from a limited population.

**Conclusion**

When writing your dissertation, you must identify your sampling strategy to complete your research. This strategy defines the technique you used for making the sample for your research.