Question
which of the following falls under non-probability
Sampling approach used when generalisability is not feasible, possible or practical. It is also useful when the population under study cannot be clearly identified accessed but are rather representative in terms of specific inclusion/exclusion criteria. Sampling technique which aims for generalisability of research findings which when used in conjunction with feasible methods allows for the specific to become the general and only allows for conclusions applicable to the sample continuum. Sampling which aims to generalise the findings of the study to the broader population. The researcher should have access to every individual in the population they aim to study to draw a representative sample.
Sampling approach used when generalisability is not feasible, possible or practical. It is also useful when the population under study cannot be clearly identified accessed but are rather representative in terms of specific inclusion/exclusion criteria. Sampling technique which aims for generalisability of research findings which when used in conjunction with feasible methods allows for the specific to become the general and only allows for conclusions applicable to the sample continuum. Sampling which aims to generalise the findings of the study to the broader population. The researcher should have access to every individual in the population they aim to study to draw a representative sample.
Answers
GPT-4o mini
Based on the descriptions provided, the first option falls under non-probability sampling. Here's a breakdown of the options:
1. **"Sampling approach used when generalisability is not feasible, possible or practical. It is also useful when the population under study cannot be clearly identified accessed but are rather representative in terms of specific inclusion/exclusion criteria."**
- This describes a non-probability sampling method. Non-probability sampling is often used when researchers cannot access a clear population or when generalizing findings is not the main goal.
2. **"Sampling technique which aims for generalisability of research findings which when used in conjunction with feasible methods allows for the specific to become the general and only allows for conclusions applicable to the sample continuum."**
- This suggests a probability sampling method, as it focuses on generalizability and requires representativeness to draw conclusions applicable to a broader sample.
3. **"Sampling which aims to generalise the findings of the study to the broader population. The researcher should have access to every individual in the population they aim to study to draw a representative sample."**
- This also describes a probability sampling approach, as it emphasizes the need for access to the entire population to ensure a representative sample.
In summary, the first option pertains to a non-probability sampling approach, while the other two describe probability sampling methods.
1. **"Sampling approach used when generalisability is not feasible, possible or practical. It is also useful when the population under study cannot be clearly identified accessed but are rather representative in terms of specific inclusion/exclusion criteria."**
- This describes a non-probability sampling method. Non-probability sampling is often used when researchers cannot access a clear population or when generalizing findings is not the main goal.
2. **"Sampling technique which aims for generalisability of research findings which when used in conjunction with feasible methods allows for the specific to become the general and only allows for conclusions applicable to the sample continuum."**
- This suggests a probability sampling method, as it focuses on generalizability and requires representativeness to draw conclusions applicable to a broader sample.
3. **"Sampling which aims to generalise the findings of the study to the broader population. The researcher should have access to every individual in the population they aim to study to draw a representative sample."**
- This also describes a probability sampling approach, as it emphasizes the need for access to the entire population to ensure a representative sample.
In summary, the first option pertains to a non-probability sampling approach, while the other two describe probability sampling methods.