Podcast Beta
Questions and Answers
What is the defining characteristic of non-probability sampling?
Which sampling method gives the person taking the sample direct or indirect control over the selection of items?
What distinguishes quota sampling from other methods?
How does convenience sampling differ from other sampling methods?
Signup and view all the answers
What is a defining characteristic of simple random sampling (SRS)?
Signup and view all the answers
In stratified random sampling, what is the purpose of dividing the population into non-overlapping but exhaustive groups called strata?
Signup and view all the answers
Why might stratified random sampling be applied if the population is heterogeneous?
Signup and view all the answers
What is a key feature of simple random sampling (SRS) that distinguishes it from other sampling methods?
Signup and view all the answers
What distinguishes stratified random sampling from simple random sampling (SRS)?
Signup and view all the answers
In which scenario would stratified random sampling be highly beneficial?
Signup and view all the answers
Which of the following describes cluster sampling?
Signup and view all the answers
What is a defining characteristic of systematic sampling?
Signup and view all the answers
In systematic sampling, how is the first element included in the sample determined?
Signup and view all the answers
What makes cluster sampling useful in certain situations?
Signup and view all the answers
What does systematic sampling require as a prerequisite?
Signup and view all the answers
What is a distinguishing feature of cluster sampling?
Signup and view all the answers
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?
Signup and view all the answers
What makes systematic sampling different from convenience sampling?
Signup and view all the answers
What is a potential disadvantage of using cluster sampling?
Signup and view all the answers
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?
Signup and view all the answers
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.
Studying That Suits You
Use AI to generate personalized quizzes and flashcards to suit your learning preferences.
Description
Test your knowledge about simple random sampling (SRS), a method where every possible sample of a specific size has an equal chance of being selected from a population. This quiz covers the concepts of equal probability of selection, sampling with or without replacement, and the methods used for selection.
