15 Questions
What is the key characteristic of convenience sampling?
Participants are selected based on convenience or accessibility.
What distinguishes random sampling from convenience sampling?
Random sampling ensures each member of the population has an equal probability of being chosen.
What is a common method of probability sampling?
Stratified random sampling
What is the main limitation of non-probability sampling?
Limited generalizability
Which sampling method is often chosen for its practicality and convenience?
Convenience sampling
What is the defining characteristic of random sampling?
Equal chance of being chosen for each member of the population
Which type of sampling facilitates statistical inference and generalizability?
Probability sampling
What is the key characteristic of multistage sampling?
Involves multiple stages of sampling
In which sampling method are participants selected based on pre-defined characteristics or quotas to ensure the sample represents specific subgroups in the population?
Quota Sampling
What is the key characteristic of purposive/selective sampling?
Participants are selected purposefully based on specific criteria
What is the defining characteristic of simple random sampling?
Each member of the population has an equal probability of being selected
What is the main characteristic of cluster sampling?
Involves dividing the population into clusters or groups
What is the key characteristic of stratified random sampling?
Involves dividing the population into subgroups or strata based on certain characteristics
What is the main characteristic of quota sampling?
Targets specific subgroups based on characteristics
What distinguishes multistage sampling from other sampling methods?
It involves multiple stages of sampling
Study Notes
Sampling Methods
- Convenience sampling is characterized by its reliance on readily available participants, often due to geographical proximity or ease of access.
Random Sampling vs. Convenience Sampling
- Random sampling is distinct from convenience sampling in that it involves the random selection of participants from a population, ensuring every individual has an equal chance of being selected.
Probability Sampling
- A common method of probability sampling is simple random sampling, which involves randomly selecting participants from a population.
Limitations of Non-Probability Sampling
- The main limitation of non-probability sampling is that it does not allow for statistical inference and generalizability to the larger population.
Sampling Methods: Practicality and Convenience
- Convenience sampling is often chosen for its practicality and convenience, as it is easier to access and recruit participants.
Defining Characteristics of Random Sampling
- The defining characteristic of random sampling is that every individual in the population has an equal chance of being selected.
Statistical Inference and Generalizability
- Probability sampling facilitates statistical inference and generalizability to the larger population.
Multistage Sampling
- Multistage sampling is characterized by the selection of participants in multiple stages, often due to logistical or practical constraints.
Quota Sampling
- In quota sampling, participants are selected based on pre-defined characteristics or quotas to ensure the sample represents specific subgroups in the population.
Purposive/Selective Sampling
- Purposive or selective sampling involves the intentional selection of participants based on specific characteristics or attributes.
Simple Random Sampling
- The defining characteristic of simple random sampling is that every individual in the population has an equal chance of being selected.
Cluster Sampling
- Cluster sampling is characterized by the selection of intact groups or clusters from a population, rather than individual participants.
Stratified Random Sampling
- Stratified random sampling involves dividing the population into subgroups or strata and randomly selecting participants from each stratum.
Quota Sampling
- Quota sampling is characterized by the selection of participants based on pre-defined characteristics or quotas to ensure the sample represents specific subgroups in the population.
Multistage Sampling (Distinguishing Feature)
- Multistage sampling is distinguished from other sampling methods by its sequential selection of participants in multiple stages.
Test your knowledge of sampling methods with this quiz! Learn about non-probability sampling, including convenience, purposive, snowball, and quota sampling, as well as probability sampling methods like simple random and stratified random sampling. Understand the differences and applications of each method.
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