If you aren’t sure about how to figure out sampling techniques and which sampling method will work the best for you, we are going to provide you guidelines for this matter. Multiple sampling techniques are being used to identify population and for setting a goal regarding which population to target. These techniques are based on what type of research you are conducting. Sampling method which is to be used must make the research work easy for you, if it isn’t helping you taking close to your goal, then you might be using the wrong sampling technique for your dissertation.
Consider what is your research question
To come up with the best sampling technique, you must consider your research question. You must know the fact that all of our dissertation aim is to answer our research question. In order to find what ways can we adapt to answer it, you should look for best dissertation writing services. For instance, if we are doing research on a disease, we must adapt sampling technique which will include either patients or doctors.
This is the continuity of the point discussed above. We will extract main research goals and look for some key factors (for which we have to gather information for those key factors). We can’t start gathering information and working on sampling techniques unless we have clear goals in mind. This is same like what a marketer does. If a person who job is marketing different materials, doesn’t know which product is he going to market, what is the use of that product, who are its potential customers, in which market or area of a city are its customers located, who can afford to buy that product? Knowing all these details are essential for a researcher to get to a right sampling technique.
Nature of research
Your nature of research derives you to opt for a sampling technique. A lot of students are of the point of view that samples are just taken into use when we have to cope up with quantitative study. Well, this is not just the case. We use sampling methods for both qualitative and quantitative type of researches. Depending on the nature of the research project, your sampling technique should be directly aligned with the research. It further guides you to be consistent in your research. Being consistent means that your sampling should be done in a consistent manner.
Identify potential sampling techniques
After having a clear idea of what we are looking for, now it is the time to decide how to do it. At this point, we have to figure out what are the possible options we can utilize. There are number of techniques we can choose from. What we will do here is to analyze how our data is going to fit in each sampling technique. It will take a certain amount of time, but that is how we will make sure what is the possible best option for us at this stage.
Types of Sampling Techniques
There are 2 types of sampling.
This technique uses randomization so each participant has an equal chance of getting included in the sample. It is also known as random sampling. Probability sampling includes the following sampling types:
- Simple Random Sampling
- Stratified Sampling
- Systematic Sampling
- Cluster Sampling
- Multi Stage Sampling
It doesn’t include the idea of randomization. Here the researcher has the liberty to choose whoever he wants to choose as respondents. Outcomes of such a type of sampling can be impartial in its nature. It is also known as non-random sampling. Following are the types of non-random sampling:
- Convenience Sampling
- Purposive Sampling
- Quota Sampling
- Snowball Sampling
We can conclude this statement by saying that you should keep in view your research question while making use of sampling technique and look for all the goals you are going to achieve.