Sampling

Question 1

What is sampling design?

Answer 1

It is the detail plan of whom the researcher will be collecting data along with the research instrument and the data collection plan.

Question 2

Explain the Study population?

Answer 2

Population refers to the whole group of people, event or things or place of interest that the researcher intend to investigate on.

Question 3

Explain unit of Analysis?

Answer 3

It is the degree at which data is analyzed to draw conclusions, after deciding the specific unit to be used in the research.

Examples of unit: humans, organization, events and things

Element refers to a single unit

Question 4

What are the two types of sampling design?

Answer 4

Probability: These elements in the population have some known chance of being selected as sample subjects.

Non-probability: These elements do not have the known chance of being selected

Question 5

What is a sampling frame?

Answer 5

It is a list or other device used to define a researchers population of interest.

Question 6

What is sampling technique?

Answer 6

The selection of a specific sampling design to be used in the research and the justification for choosing that sample design

Question 7

Explain sampling size

Answer 7

Sampling size refers to the number of elements data is to be collected from and this number is specified on the table by Krejcie& Morgan

Question 8

Why do we need to select a sample?

Answer 8

● A survey of the entire population is impracticable
● Budget constraints restrict data collection
● Time constraints restrict data collection
● Results from data collection are needed quickly

Question 9

What are the types of probability sampling?

Answer 9

• Simple random sampling
• Cluster sampling
• Systematic sampling
• Stratified random sampling

Question 10

What are the types of non-probability sampling?

Answer 10

• Convenience sampling
• Judgmental/purpose sampling
• Snowball sampling
• Quota sampling

Question 11

What are the steps in sampling design?

Answer 11

1. Defining the target population.
2. Specifying the sampling frame.
3. Specifying the sampling unit.
4. Selection of the sampling method.
5. Determination of sample size.
6. Specifying the sampling plan.
7. Selecting the sample.

Question 12

What are the characteristics of a good sampling design?

Answer 12

1. Should yield a truly representative sample
2. Should be such that it results in small sampling error
3. Should be viable in the context of budgetary constraints of the research study
4. Should be such that the systematic bias can be controlled
5. Sample must be such that the results of the sample study would be applicable to the universe at a reasonable level of confidence.