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Questions and Answers
Which type of sampling is used when the researcher has control over the selection of participants?
Which type of sampling is used when the researcher has control over the selection of participants?
- Probability Sampling (correct)
- Quota Sampling
- Convenience Sampling
- Non-Probability Sampling
What is the main difference between Stratified Sampling and Cluster Sampling?
What is the main difference between Stratified Sampling and Cluster Sampling?
- Stratified sampling is used for quantitative research, while cluster sampling is used for qualitative research
- Stratified sampling divides the population into subgroups, while cluster sampling selects groups as a whole (correct)
- Stratified sampling is used for small populations, while cluster sampling is used for large populations
- Stratified sampling is used for heterogeneous populations, while cluster sampling is used for homogeneous populations
Which type of sampling is used when the selection of participants is based on ease of access?
Which type of sampling is used when the selection of participants is based on ease of access?
- Systematic Sampling
- Simple Random Sampling
- Convenience Sampling (correct)
- Quota Sampling
What is the purpose of Quota Sampling?
What is the purpose of Quota Sampling?
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Which type of sampling is used when every member of the population has an equal chance of being selected?
Which type of sampling is used when every member of the population has an equal chance of being selected?
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Study Notes
Types of Sampling
- There are two main categories of sampling techniques: Non-Probability Sampling and Probability Sampling
Non-Probability Sampling
- Convenience Sampling: a type of sampling where participants are selected based on convenience, such as proximity or accessibility
- Quota Sampling: a type of sampling where participants are selected based on predefined quotas, such as age, gender, or occupation
Probability Sampling
- Simple Random Sampling: a type of sampling where every member of the population has an equal chance of being selected
- Systematic Sampling: a type of sampling where participants are selected at regular intervals, such as every 10th person on a list
- Stratified Sampling: a type of sampling where the population is divided into subgroups, and participants are selected from each subgroup
- Cluster Sampling: a type of sampling where groups or clusters of participants are selected, rather than individual participants
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