15. SIMPLE RANDOM SAMPLING Flashcards
1
Q
- How do we often refer to “Simple Random Sampling”?
A
- we refer to it as Random Sampling
2
Q
- What is the most straight forward of all the Random Sampling Methods?
A
- the Simple Random Sampling Method
3
Q
- What can be said about all the individuals in the Random Sample?
A
- they have the same probability of being selected
- this is independent of each other
4
Q
- What is Simple Random Sampling mostly used for?
A
- it is used for Quantitative Research
5
Q
- What does Simple Random Sampling scenario ensure when we have a large sample size?
A
- random sampling ensures that the chosen individuals
are representative of the Source Population
6
Q
- List 2 important factors that often represents the Source Population.
A
- DEMOGRAPHY
- age
- sex
- ethnicity - OTHER IMPORTANT FACTORS
- clinical history
- current disease status
- lifestyle factors
7
Q
- What are the 4 steps to Simple Random Sampling?
A
- Identify the Source Population
- Set up the Sampling Frame
- Decide on the Sample Size
- Randomly select the individuals from the Sampling
Frame
8
Q
- What kinds of techniques can we use for Simple Random Sampling?
A
- random number generators
- techniques that are based entirely on chance
9
Q
- What are the 3 advantages of Simple Random Sampling?
A
- IT ENSURES THAT:
- the representative sample is from the Source
Population
- this can be done when the sample size is large
enough - IT IS LESS COSTLY
- it is less time consuming
- compared o the other sampling methods - IT IS IDEAL FOR QUANTITATIVE STUDIES
- it is ideal for hypothesis testing
10
Q
- What are the 2 disadvantages of Simple Random Sampling?
A
- IF THE SAMPLING FRAME IS TOO LARGE
- this kind of sampling may be impractical to perform
- the same applies if the population is geographically
diverse - IF A LARGE SAMPLE IS REQUIRED
- the Simple Random Sampling may be too time
consuming and costly
11
Q
A