Sampling methods

Question 1

What is the primary characteristic of random sampling?

Answer 1

Every member of the population has an equal chance of being selected.

Question 2

True or False: Stratified sampling involves dividing the population into subgroups before sampling.

Answer 2

True

Question 3

Fill in the blank: In __________ sampling, individuals are selected based on their availability or convenience.

Answer 3

opportunity

Question 4

What type of sampling method is characterized by participants volunteering to be part of the study?

Answer 4

Volunteer sampling

Question 5

Define whole population sampling.

Answer 5

Whole population sampling involves collecting data from every member of the population.

Question 6

Which sampling method is most likely to introduce bias?

Answer 6

Opportunity sampling

Question 7

True or False: Stratified sampling can improve the accuracy of results compared to simple random sampling.

Answer 7

True

Question 8

What is a key advantage of random sampling?

Answer 8

It minimises selection bias.

Question 9

In stratified sampling, what determines the number of participants in each subgroup?

Answer 9

The proportion of each subgroup in the population.

Question 10

Multiple Choice: Which of the following is NOT a characteristic of volunteer sampling? A) Participants choose to take part B) It is often used in online surveys C) Every member has an equal chance of being selected D) It may lead to self-selection bias

Answer 10

C) Every member has an equal chance of being selected

Question 11

What is the main disadvantage of using whole population sampling?

Answer 11

It can be time-consuming and expensive.

Question 12

True or False: Random sampling can be implemented using a lottery system/random name generator.

Answer 12

True

Question 13

What is the primary goal of stratified sampling?

Answer 13

To ensure that specific subgroups are accurately represented.

Question 14

Fill in the blank: __________ sampling is often used when researchers want to include a specific demographic in their study.

Answer 14

Stratified

Question 15

Short Answer: What is one method to reduce bias in opportunity sampling?

Answer 15

Using random selection within the available participants.

Question 16

What is a common use case for volunteer sampling?

Answer 16

Surveys/questionnaires.

Question 17

True or False: Whole population sampling guarantees a representative sample.

Answer 17

False

Question 18

What type of sampling might be easiest to implement in a classroom setting?

Answer 18

Opportunity sampling

Question 19

Multiple Choice: Which sampling method requires a complete list of the population? A) Random sampling B) Stratified sampling C) Opportunity sampling D) Volunteer sampling

Answer 19

A) Random sampling

Question 20

True or False: Stratified sampling can lead to more accurate estimates than simple random sampling.

Answer 20

True

Question 21

What is one potential issue with volunteer sampling?

Answer 21

It may lead to non-representative samples due to self-selection.

Question 22

Fill in the blank: In __________ sampling, researchers divide the population into distinct subgroups.

Answer 22

stratified

Question 23

Short Answer: Why might a researcher choose opportunity sampling?

Answer 23

Due to ease of access and lower costs.