Podcast
Questions and Answers
What is the defining characteristic of non-probability sampling?
What is the defining characteristic of non-probability sampling?
- Sampling without any bias or influence
- Inclusion of all individuals in the sample
- Random selection of individuals from the population
- Selection based on convenience, personal choice or interest (correct)
Which sampling method gives the person taking the sample direct or indirect control over the selection of items?
Which sampling method gives the person taking the sample direct or indirect control over the selection of items?
- Convenience Sampling
- Judgment Sampling (correct)
- Non Random Sampling
- Quota Sampling
What distinguishes quota sampling from other methods?
What distinguishes quota sampling from other methods?
- Selection based on convenience and ease
- Random selection of items from the population
- Sampling without any restrictions
- Sample contains a certain number of items with a given characteristic (correct)
How does convenience sampling differ from other sampling methods?
How does convenience sampling differ from other sampling methods?
What is a defining characteristic of simple random sampling (SRS)?
What is a defining characteristic of simple random sampling (SRS)?
In stratified random sampling, what is the purpose of dividing the population into non-overlapping but exhaustive groups called strata?
In stratified random sampling, what is the purpose of dividing the population into non-overlapping but exhaustive groups called strata?
Why might stratified random sampling be applied if the population is heterogeneous?
Why might stratified random sampling be applied if the population is heterogeneous?
What is a key feature of simple random sampling (SRS) that distinguishes it from other sampling methods?
What is a key feature of simple random sampling (SRS) that distinguishes it from other sampling methods?
What distinguishes stratified random sampling from simple random sampling (SRS)?
What distinguishes stratified random sampling from simple random sampling (SRS)?
In which scenario would stratified random sampling be highly beneficial?
In which scenario would stratified random sampling be highly beneficial?
Which of the following describes cluster sampling?
Which of the following describes cluster sampling?
What is a defining characteristic of systematic sampling?
What is a defining characteristic of systematic sampling?
In systematic sampling, how is the first element included in the sample determined?
In systematic sampling, how is the first element included in the sample determined?
What makes cluster sampling useful in certain situations?
What makes cluster sampling useful in certain situations?
What does systematic sampling require as a prerequisite?
What does systematic sampling require as a prerequisite?
What is a distinguishing feature of cluster sampling?
What is a distinguishing feature of cluster sampling?
If a researcher needed to survey apartment dwellers in a large city, which sampling method could be used by randomly selecting 2 buildings from 10 and interviewing all residents of these buildings?
If a researcher needed to survey apartment dwellers in a large city, which sampling method could be used by randomly selecting 2 buildings from 10 and interviewing all residents of these buildings?
What makes systematic sampling different from convenience sampling?
What makes systematic sampling different from convenience sampling?
What is a potential disadvantage of using cluster sampling?
What is a potential disadvantage of using cluster sampling?
If a researcher wanted to ensure that every individual in the population had an equal probability of being selected, which sampling method should be used?
If a researcher wanted to ensure that every individual in the population had an equal probability of being selected, which sampling method should be used?
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Study Notes
Non-Probability Sampling
- The defining characteristic of non-probability sampling is that the person taking the sample has direct or indirect control over the selection of items.
Quota Sampling
- Quota sampling is distinguished from other methods by filling predetermined quotas of participants based on certain characteristics.
Convenience Sampling
- Convenience sampling differs from other methods in that it involves selecting participants due to their ease of access or availability.
Simple Random Sampling (SRS)
- A defining characteristic of SRS is that every individual in the population has an equal probability of being selected.
- A key feature of SRS that distinguishes it from other sampling methods is that every individual has an equal chance of being selected.
Stratified Random Sampling
- The purpose of dividing the population into non-overlapping but exhaustive groups called strata is to ensure that each subgroup is represented in the sample.
- Stratified random sampling is applied when the population is heterogeneous to ensure that each subgroup is represented in the sample.
- A distinguishing feature of stratified random sampling is that it divides the population into subgroups before selecting participants.
- Stratified random sampling is highly beneficial in scenarios where the population is heterogeneous and subgroup representation is important.
Cluster Sampling
- Cluster sampling involves dividing the population into smaller groups or clusters and selecting participants from these clusters.
- A distinguishing feature of cluster sampling is that it selects participants based on clusters rather than individual characteristics.
- Cluster sampling is useful in certain situations where it is difficult to obtain a list of all individuals in the population.
- A potential disadvantage of using cluster sampling is that it may not be representative of the entire population.
Systematic Sampling
- A defining characteristic of systematic sampling is that every nth individual is selected from the population.
- The first element included in the sample is determined by randomly selecting a starting point.
- Systematic sampling requires a complete list of the population as a prerequisite.
- Systematic sampling differs from convenience sampling in that it is a more structured and random approach.
Sampling Scenarios
- If a researcher needs to survey apartment dwellers in a large city, cluster sampling could be used by randomly selecting buildings and interviewing all residents of these buildings.
- If a researcher wants to ensure that every individual in the population has an equal probability of being selected, SRS should be used.
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