Align this section as follows:

Define the Sampling Strategy and provide reference not older than five years. Show the differences between the Sampling strategies (Probability and Non-probability). Then, show your choice (non-probability) and justify your choice

And

Provide Sampling Kinds;

State each sampling kind and show the difference e.g. [Probability (Simple random, Systematic, Stratified and Cluster)] and [ Non-probability (Convenience, Quota, Judgmental and Snowball)]. Then, show your choice (based on non-probability sampling kind) and justify your choice

Please see the below information that was submitted and the above comment from the tutor. Kindly assist with corrections

Sampling Strategy: Purposive

Purposive sampling would be an appropriate option for selecting SMEs that have faced significant impacts of COVID-19.

Here are the reasons to use purposeful sampling in this case:

Targeted selection:

Purposive sampling allows the deliberate selection of participants based on specific characteristics or criteria.

In this case, the goal is to select SMEs that have been significantly impacted by COVID-19.

Using purported sampling allows researchers to intentionally and selectively target companies that have faced hardship during the pandemic.

Relevance and depth:

Purposive sampling ensures that selected SMEs have first-hand experience and knowledge of the impact of COVID-19 on their business. By focusing on SMEs that have experienced significant consequences, researchers can gain a deeper and more meaningful understanding of the challenges, strategies, and outcomes associated with the pandemic.

This reinforces the relevance and value of the search results.

Expertise and ideas:

Intended sampling allows inclusion of SMMEs with specific expertise or knowledge in managing the impact of COVID-19.

Researchers can select participants who possess valuable information, effective coping mechanisms, or unique strategies to mitigate the challenges posed by the pandemic.

Expertise can contribute to a better understanding of the impact and provide valuable recommendations for other relevant SMEs.

Efficiency and profit

With limited resources and time constraints, purposeful sampling can be more efficient and cost-effective than other sampling methods.

By focusing on SMMEs that have experienced a significant impact from COVID-19, researchers can collect targeted data, resulting in more accurate results.

This approach saves time and resources by avoiding the inclusion of participants who have not yet experienced severe economic consequences from the pandemic.

In summary, purposive sampling makes sense because it allows targeted selection of SMEs that have been significantly impacted by COVID-19. This approach ensures relevant and in-depth data collection, facilitates the entry of expertise and knowledge, and optimizes efficiency and cost effectiveness.