Chapter 3: Sampling

Question 1

Objective of Sampling

Answer 1

To obtain information about the entire population by interviewing a part of the population and, as a result, make a statement that can be applied to the whole population

Question 2

Population in Sampling

Answer 2

The group which the researcher wants to obtain information from and of which he wants to make statements (target group of survey)

Question 3

Sampling Frame

Answer 3

An available list of the population

Question 4

Sample

Answer 4

All selected respondents

Question 5

Probability Sampling

Answer 5

• Respondents are selected at random
• Every member of the population has an equal chance of being part of the sample

Question 6

Types of Probability Sampling

Answer 6

• Simple Random Sample
• Systematic Sample
• Stratified Sample
• Cluster Sample

Question 7

Simple Random Sample

Answer 7

• The entire population is listed
• A random selection process is used to pick individuals for the sample

Question 8

Systematic Sample

Answer 8

• The entire population is listed in order
• A random starting point is selected
• Every Nth individual (where N is a fixed interval) is chosen for the sample

Question 9

Strata

Answer 9

Sub-groups with the same general characteristics

Question 10

Stratified Sample

Answer 10

• The population is divided into strata based on specific characteristics
• A random sample is drawn from each stratum, either proportionally or equally

Question 11

Cluster Sample

Answer 11

• The population is divided into clusters (ex: city, school, department)
• A random selection of clusters is made
• All individuals or a random sample within the selected clusters are surveyed

Question 12

Types of Non-probability Sampling

Answer 12

• Convenience
• Judgemental Sample
• Multi-stage Sample

Question 13

Convenience Sample

Answer 13

• The sample is selected based on accessibility and ease of selection
• Participants are often chosen because they are readily available

Question 14

Judgemental Sample

Answer 14

• The researcher identifies specific individuals or groups who have the expertise, experience or characteristics that align with the research objectives
• Participants are selected because they meet specific criteria that the researcher deems important

Question 15

Multi-stage Sample

Answer 15

• The population is divided into stages or clusters
• In the first stage, a sample of clusters is selected, often using random or systematic sampling
• In the subsequent stages, further sampling is conducted within the clusters, which could involve simple random sampling, stratified sampling or other methods

Question 16

Factors to Determine Sample Size

Answer 16

• Size of Population
• Confidence Interval
• Confidence level

Question 17

What does “Confidence Interval” also mean?

Answer 17

Margin of Error

Question 18

3-step plan for Sample Composition

Answer 18

1) Determination of the population in absolute numbers
2) Conversions of the population data into percentage
3) Sample composition (per gender and age group)