What Is Non-Probability Sampling? | Types & Examples in Dissertation

In probability sampling, the likelihood of an entire population member being selected can be determined and calculated, but in non-probability sampling, it cannot be done. For example, a student could determine that one individual participant has a 35% chance of being selected to take part in the study, compared to another’s 10% chance. However, non-probability sampling makes sure that every participant has an equal chance of being selected even when participation is not guaranteed. Likewise, in this weblog, we will discuss all the precise details of non-probability sampling, its distinctive types, advantages and so on.

Another key point, is knowing these kinds of non probability sampling purposive sampling methods we will employ will help you to be ready when conducting an inquiry and gathering data to prepare your dissertation. Due to this, sampling can be divided into two sections that we will discuss in the blog. Let’s begin!

What is Non-Probability Sampling?

Non-probability sampling is explained as a sampling method in which the students select based on the subjective judgement of the student rather than a random selection process. Furthermore, it is a less stringent technique. This non-probability sampling technique depends heavily on the professionalism of the students. It is carried out by observation, and students use it widely for qualitative research work.

Moreover, this sampling is a technique in which not all population members have an equal possibility in the study, unlike probability sampling. Every member of the population has a known chance of being chosen. Non-probability sampling is one of the most useful methods for exploratory studies, such as a pilot study (developing a survey of small samples compared to a pre-determined sample size). Students use these kinds of sampling techniques when preparing dissertations where it is impossible to draw random probability sampling due to cost or time considerations.

What are the Types of Non-Probability Sampling?

Here are the essential types of non probability sampling purposive sampling methods that you can use when writing your dissertation.

1. Convenience sampling

Convenience sampling is a non-probability sampling method where samples are picked from the entire population only because they are conveniently available to the students. Students select these imperative samples just because they are easy to recruit, and the students do not consider choosing a particular sample that represents the entire population. Ideally, in research, it is a great way to test any random sample that highlights the population.

However, in some research, the population is too wide and large to examine and consider the whole population. Furthermore, it is one of the most prominent reasons why students trust convenience sampling, which is the most common non-probability sampling method.

2. Consecutive sampling

This non-probability sampling technique is very familiar to convenience sampling, with a slight touch of variation. Moreover, in this, students pick a single person or a group of a sample, conduct in-depth research for a certain period, study the outcomes, and then move on to the next subject or category if required. Consecutive sampling methods provided the student a fair chance to work with many essential topics and fine-tune their research by gathering outcomes that have vital insights.

3. Quota sampling

Hypothetically, in a quota non probability sampling purposive sampling method, a student wants to analyse the career objectives and to study the career goals of female and male employees in an organisation. In a similar way, there are 500 employees in the organisation, also known as a selective group of population. The student will require only a particular sample, not the entire population, to understand a population better. Moreover, the student is interested in specific strata within the population. Here, quota sampling helps section the entire population into strata or categories.

4. Judgmental or Purposive sampling

In the judgemental non-probability sampling method, students choose the samples based purely on their credibility and knowledge. In other words, students pick only those people who they deem fit to participate in the research analysis. Furthermore, purposive and judgemental sampling is not a scientific technique, and the downside to this sampling method is that the preconceived notions of a student can impact the final outcomes. Hence, this research method involves a high amount of ambiguity.

5. Snowball sampling

Snowball non probability sampling purposive sampling methods helps students find a sample when they are challenging to locate. In addition, students use this method when the sample size is not easily available and small. However, this sampling system works like the referral program. Once the students find appropriate subjects, they ask them for guidance to seek similar subjects to form a considerably great size sample. 

When to Use Non-Probability Sampling?

Here are some of the key pointers that indicate when to use non-probability sampling techniques when preparing dissertation proposals.

1. Use this type of sampling method to indicate if a specific characteristic or trait exists in a population.
2. Students widely use the non-probability sampling technique when they aim at conducting qualitative research, exploratory research, or pilot studies.
3. Students use it when they have a restricted time frame to conduct in-depth research or have a fixed budget.
4. When the student is required to observe whether a specific problem needs in-depth study, they apply this method.
5. Students use this method when they do not intend to generate outcomes that will generalise the whole population.

What are the Benefits of Non-probability Sampling?

Here are the imperative pros of the non probability sampling method that every student must know if they are seeking PhD dissertation help resources.

1. It is an inexpensive and fast way to gather data. Therefore, little research is required prior to studying as the student simply seeks out those easily within reach, however, if the student conducts non-probability sampling techniques through an online platform, it becomes even more easier as there are no geographical limitations.
2. It is a great beginning point in which to form quick hypotheses. Moving forward, the student can determine if further research probability sampling method would be beneficial.
3. Low response rates do not factor in, as the student continues studying until they have reached their desired sample size. Additionally, in such cases of consecutive non-probability sampling, until they have appropriate information to reach a conclusion.
4. It enables a perfect way for students to connect with under-represented or niche categories. Nevertheless, this is usually accomplished through deviant sampling. It is because these surveys can be conducted on a whim, particular opinions on current events and topics can be collected in near real-time.

What are the Vital Disadvantages of Non-probability Sampling?

Here are some of the necessary disadvantages that every student should know before preparing a dissertation.

1. Participants get surveys based on ease or convenience of access. This means there is a high possibility they might not be representative of the greater population. Likewise, this undermines the validity of outcomes.
2. The student will likely be unable to sum up the margin of the mistake. Margin or mistake in surveying refers to how much one can expect survey outcomes to reflect the views of the entire population.
3. Non probability sampling purposive sampling might fill up with people who want to be part of the research. It might be because they want to hold or encourage strong views that they want to share. Therefore, it is common with self-selection sampling and snowball sampling techniques.

It’s Time to Wrap Things Up!

The journey of working with non probability sampling methods when preparing a dissertation might be challenging. If you need professional assistance, then you can approach My Assignment Services. We have been here in this industry for years now, and we deliver top-notch assistance to every student so that they can get their desired score. Our dissertation writers understand how lengthy a dissertation can be, and it is one of the primary reasons why you won’t be able to submit it before the deadline. However, it’s time for you to be relieved because we are here to guide you with keen knowledge and information according to your dissertation’s requirements. Call us today!