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Topic 6 Quantitative Sampling

Total questions: 10

Worksheet time: 6mins

Name
Class
Date
1.

What is the primary purpose of stratified sampling in research?

a)

To ensure that every member of the population has an equal chance of being selected.

b)

To divide the population into homogenous subgroups and then randomly sample from each subgroup.

c)

To select individuals based on their availability and willingness to participate.

d)

To systematically select every nth individual from a list of the population.

2.

Which of the following is NOT a potential source of sampling error?

a)

Random sampling.

b)

Non-response bias.

c)

Sampling frame error.

d)

Measurement error.

3.

What is the primary limitation of convenience sampling?

a)

It may introduce selection bias.

b)

It requires a large sample size.

c)

It is time-consuming and costly.

d)

It is not representative of the target population.

4.

What is the difference between sampling error and non-sampling error?

a)

Sampling error refers to errors in data collection, while non-sampling error refers to errors in data analysis.

b)

Sampling error is due to chance fluctuations in the sample, while non-sampling error is due to systematic errors in the sampling process.

c)

Sampling error occurs when the sample size is too small, while non-sampling error occurs when the sample size is too large.

d)

There is no difference; sampling error and non-sampling error are synonymous terms in research.

5.

Which type of sampling method involves selecting individuals who are readily available and willing to participate in the study?

a)

Random sampling.

b)

Convenience sampling.

c)

Stratified sampling.

d)

Cluster sampling.

6.

How does increasing the sample size typically affect sampling error?

a)

Increasing the sample size decreases sampling error.

b)

Increasing the sample size increases sampling error.

c)

Increasing the sample size has no effect on sampling error.

d)

Increasing the sample size only affects non-sampling error, not sampling error.

7.

Which of the following is an example of a systematic sampling technique?

a)

Selecting every 10th student from a class roster.

b)

Asking individuals in a shopping mall to participate in a survey.

c)

Choosing participants based on their demographic characteristics.

d)

Recruiting participants through social media advertisements.

8.

Which of the following is a common assumption of multivariate analysis?

a)

Independence of observations.

b)

Linearity of relationships between variables.

c)

Normality of residuals.

d)

Homoscedasticity (equal variance) of residuals.

9.

What is the advantage of using probability sampling methods in research?

a)

They ensure that the sample is representative of the population.

b)

They allow researchers to conveniently select participants based on availability.

c)

They reduce the risk of researcher bias compared to non-probability sampling methods.

d)

They require fewer resources and are easier to implement compared to non-probability sampling methods.

10.

Which of the following is an example of a probability sampling method?

a)

Convenience sampling.

b)

Purposive sampling.

c)

Simple random sampling.

d)

Quota sampling.