The non probability and purposive sampling approaches in qualitative studies are chosen for the following reasons (Maree, 2014)
There are a few reasons why researchers may choose non-probability and purposive sampling approaches in qualitative studies, as outlined by Maree (2014):
1. Limited resources: Non-probability sampling techniques are often chosen when researchers have limited resources, such as time, money, or access to participants. These methods allow researchers to select participants conveniently and easily, without having to use complex or time-consuming sampling techniques.
2. Specific research interests: Purposive sampling is often used when the researcher has specific criteria or characteristics in mind for participants. This approach allows the researcher to select participants who can provide the most relevant and valuable insights for the study.
3. Expert knowledge: Purposive sampling is also commonly used when the researcher wants to gather data from individuals who have expertise or unique perspectives on the topic of interest. By selecting participants who possess specific knowledge or experience, researchers can enhance the quality and depth of their findings.
4. Diversity of perspectives: Non-probability sampling approaches, such as snowball sampling, can be used when the researcher wants to include participants who may be difficult to reach through traditional sampling methods. These approaches can help ensure a diverse range of perspectives and experiences are represented in the study.
5. Exploration and understanding: Non-probability sampling approaches are often chosen in qualitative studies aiming to explore and understand phenomena in-depth. By selecting participants based on specific characteristics or criteria, researchers can gather comprehensive and detailed data that allows them to thoroughly examine the research topic.
Overall, non-probability and purposive sampling approaches are flexible and practical techniques that allow researchers to efficiently select participants who can contribute valuable insights and data to a qualitative study.
Non-probability sampling and purposive sampling are commonly used approaches in qualitative studies for several reasons. Here are the reasons why these approaches are chosen:
1. Non-representative populations: Non-probability sampling is often employed when the researcher is not concerned with representing a larger population. In many qualitative studies, the goal is to explore a specific group or phenomenon in-depth rather than making generalizations to a broader population.
2. Accessible and convenient sampling: Non-probability sampling methods, such as convenience sampling, are relatively easy and practical to implement. Researchers may choose this approach when it is challenging to access or recruit participants from a specific population due to time, resource, or logistical constraints.
3. Specific research objectives: Purposive sampling, also known as purposeful or selective sampling, is utilized when researchers have specific characteristics or attributes of participants that align with their research objectives. This approach allows researchers to intentionally select participants who can provide rich information and insights relevant to their research questions.
4. Expert knowledge: Purposive sampling is particularly useful when seeking the expertise or opinions of individuals who possess specialized knowledge or experiences in a specific field. By purposively selecting participants who are knowledgeable or experienced in the research topic, researchers can gain valuable insights and perspectives.
5. Maximum variation: Another reason for employing purposive sampling is to ensure maximum variation in participant characteristics. Researchers may purposely select participants who represent a diverse range of demographics, experiences, or perspectives to gain a comprehensive understanding of the phenomenon under investigation.
6. Sample size considerations: Non-probability and purposive sampling approaches can be advantageous when working with small sample sizes that are characteristic of many qualitative studies. These approaches can provide in-depth and detailed information from a limited number of participants.
It is important to note that while non-probability and purposive sampling approaches have their merits, they also come with limitations. These methods may introduce biases and limit the generalizability of findings. Researchers must carefully consider the trade-offs and ensure that their chosen sampling approach aligns with their research objectives and study design.