Sampling Methods in Research

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What sampling method involves writing the names of students on slips of paper and selecting them from a box?

Stratified random sampling

Convenience sampling

Cluster sampling

Simple random sampling (correct)

Which method involves generating random numbers from a table to select a sample?

Quota sampling

Convenience sampling

Using random numbers from a table (correct)

Cluster sampling

What is the purpose of stratified random sampling?

To divide the population into strata (correct)

To select elements using a random process

To select elements based on proximity

To select elements based on convenience

How is the stratified random sampling different from simple random sampling?

Stratified sampling divides the population into groups Signup and view all the answers

Which method ensures that each group within a population is represented in the sample?

Stratified random sampling Signup and view all the answers

What is the critical characteristic required for using stratified random sampling?

Homogeneity of groups Signup and view all the answers

What is the main misconception about sample size and population size?

A larger population always requires a larger sample size. Signup and view all the answers

What are the main criteria to consider in determining sample size?

Required level of precision and variability of the population Signup and view all the answers

Why is it suggested to have a dialogue with experienced individuals when making sampling decisions?

To cover all necessary issues and ensure a sensible proposal Signup and view all the answers

What is the outcome of adopting pre-packaged solutions without thought?

Disaster Signup and view all the answers

What should the final decision on sample size be based on?

Trade-offs among different elements Signup and view all the answers

Why should you take comfort in knowing your solution may be less than perfect?

Adopting pre-packaged solutions is worse Signup and view all the answers

What is the main characteristic of snowball sampling?

It starts with a small number of units and expands through networking. Signup and view all the answers

Which sampling method relies more on networking?

Snowball sampling Signup and view all the answers

What is the key aspect of probability sampling?

Selection occurs by a chance mechanism without favoritism Signup and view all the answers

Which type of random sampling involves not replacing sampling units after each draw?

Random sampling without replacement Signup and view all the answers

What condition is essential for simple random sampling (SRS) to work effectively?

Population homogeneity and known sample frame Signup and view all the answers

Which sampling method involves starting with a small number of units and expanding through networking until the required sample size is reached?

Snowball sampling Signup and view all the answers

What is the purpose of stratified random sampling?

To divide the population into subgroups called strata Signup and view all the answers

In stratified random sampling, what does equal allocation refer to?

All strata have approximately the same number of units selected Signup and view all the answers

What is the sampling interval in systematic random sampling?

$k = N/n$ Signup and view all the answers

How is stratified random sampling different from systematic random sampling?

Stratified sampling divides the population into subgroups, while systematic sampling selects every kth unit Signup and view all the answers

What is the key principle of systematic random sampling?

Selecting a random starting point and choosing every kth member from it Signup and view all the answers

What type of errors are included in non-sampling error?

Frame error, non-response error, specification error, processing error Signup and view all the answers

What does the sample size formula n = z² p *q / e² help determine?

Precision Signup and view all the answers

What is the probability p in the sample size formula n = z² p *q / e²?

Probability a person is chosen to be interviewed Signup and view all the answers

What does the value of z represent in the sample size formula n = z² p *q / e²?

Critical value from normal distribution Signup and view all the answers

Why is it necessary to add 4% more persons to the computed sample size?

To account for non-responses Signup and view all the answers

How is q defined in the context of determining sample size?

'Q' represents the probability a person is not chosen to be interviewed. Signup and view all the answers

Sampling Methods in Research

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Questions and Answers

What sampling method involves writing the names of students on slips of paper and selecting them from a box?

Which method involves generating random numbers from a table to select a sample?

What is the purpose of stratified random sampling?

How is the stratified random sampling different from simple random sampling?

Which method ensures that each group within a population is represented in the sample?

What is the critical characteristic required for using stratified random sampling?

What is the main misconception about sample size and population size?

What are the main criteria to consider in determining sample size?

Why is it suggested to have a dialogue with experienced individuals when making sampling decisions?

What is the outcome of adopting pre-packaged solutions without thought?

What should the final decision on sample size be based on?

Why should you take comfort in knowing your solution may be less than perfect?

What is the main characteristic of snowball sampling?

Which sampling method relies more on networking?

What is the key aspect of probability sampling?

Which type of random sampling involves not replacing sampling units after each draw?

What condition is essential for simple random sampling (SRS) to work effectively?

Which sampling method involves starting with a small number of units and expanding through networking until the required sample size is reached?

What is the purpose of stratified random sampling?

In stratified random sampling, what does equal allocation refer to?

What is the sampling interval in systematic random sampling?

How is stratified random sampling different from systematic random sampling?

What is the key principle of systematic random sampling?

What type of errors are included in non-sampling error?

What does the sample size formula n = z² p *q / e² help determine?

What is the probability p in the sample size formula n = z² p *q / e²?

What does the value of z represent in the sample size formula n = z² p *q / e²?

Why is it necessary to add 4% more persons to the computed sample size?

How is q defined in the context of determining sample size?

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