Study population and sampling, sample size, and data analysis

Question 1

Define the study population

Answer 1

The specific group of individuals from whom data is collected for a research study.

Question 2

Discuss the need for sampling

Answer 2

1. To ensure that the results are accurately representing the events in a population
2. It ensures that the research is conducted on a group that is appropriate and relevant to the research question.
3. When the study population is clearly defined, other researchers can replicate the study with similar populations.

Question 3

What are the two sampling techniques?

Answer 3

Probabillity and non-probability

Question 4

Discuss the probability sampling technique

Answer 4

-Participants in the target population have equal chances to be selected in the sample
-Samples are more representatives of the target population

Question 5

Discuss the non-probability sampling ttechniques

Answer 5

-It is a non-systematic process
-It does not guarantee equal chances for each participant to be included in the study

Question 6

Give examples of the probability sampling techniques

Answer 6

1. Simple random sampling
2. Systematic sampling
3. Stratified sampling
4. Cluster sammpling

Question 7

Give examples of non-probability sampling techniques

Answer 7

1. Convenience sampling
2. Purposive sampling
3. Quota sampling
4. Snowball sampling