Probability & Non-Probability Sampling Techniques

Question 1

Is the entirety of the group including all the members that forms a set of data.

Answer 1

Population

Question 2

Contains a few members of the population. They were taken to represent the characteristics or traits of the whole population.

Answer 2

Sample

Question 3

Every member of the population has the chance of being selected. It involves principle/randomization/chance

Answer 3

Probability Sampling

Question 4

Is a randomly selected subset of a population. In this sampling method, each member of the population has an exactly equal chance of being selected.

Answer 4

Simple Random Sampling

Question 5

Is a probability sampling method in which researchers select members of the population at a regular interval (or k) determined in advance.

Answer 5

Systematic Sampling

Question 6

Researchers divide a population into homogeneous subpopulations called strata (the plural of stratum) based on specific characteristics (e.g., race, gender identity, location, etc.). Every member of the population studied should be in exactly one stratum.

Answer 6

Stratified Random Sampling

Question 7

Researchers divide a population into smaller groups known as clusters. They then randomly select among these clusters to form a sample.

A method of probability sampling that is often used to study large populations, particularly those that are widely geographically dispersed. Researchers usually use pre-existing units such as schools or cities as their clusters.

Answer 7

Cluster Sampling

Question 8

Probability Sampling

Answer 8

1. Simple Random Sampling
2. Systematic Sampling
3. Stratified Random Sampling
4. Cluster Sampling

Question 9

Not every member of the population has the equal chance of being selected. It can rely on the subjective judgement of the researcher.

Answer 9

Non-Probability Sampling

Question 10

• Selecting a sample based on the availability of the member and/ or proximity to the researcher.
• Also known as accidental, opportunity, or grab sampling.

Answer 10

Convenience Sampling

Question 11

• Sample are chosen based on the goals of the study. They may be chosen based on their knowledge of the study being conducted or if they satisfy the traits or conditions set by the researcher.

Answer 11

Purposive Sampling

Question 12

• Proportion of the groups in the population were considered in the number and selection of the respondents.

Answer 12

Quota Sampling

Question 13

• Participants in the study were tasked to recruit other members for the study

Answer 13

Snowball Sampling