Sampling Methods Quiz

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Questions and Answers

What is the key characteristic of convenience sampling?

Participants are selected based on random number generation.

Participants are selected based on practicality and cost-effectiveness.

Participants are selected based on equal probability of being chosen.

Participants are selected based on convenience or accessibility. (correct)

What distinguishes random sampling from convenience sampling?

Convenience sampling is based entirely on chance.

Convenience sampling facilitates statistical inference and generalizability.

Random sampling introduces bias due to non-random selection.

Random sampling ensures each member of the population has an equal probability of being chosen. (correct)

What is a common method of probability sampling?

Snowball sampling

Stratified random sampling (correct)

Purposive sampling

Quota sampling

What is the main limitation of non-probability sampling?

Limited generalizability Signup and view all the answers

Which sampling method is often chosen for its practicality and convenience?

Convenience sampling Signup and view all the answers

What is the defining characteristic of random sampling?

Equal chance of being chosen for each member of the population Signup and view all the answers

Which type of sampling facilitates statistical inference and generalizability?

Probability sampling Signup and view all the answers

What is the key characteristic of multistage sampling?

Involves multiple stages of sampling Signup and view all the answers

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 Signup and view all the answers

What is the key characteristic of purposive/selective sampling?

Participants are selected purposefully based on specific criteria Signup and view all the answers

What is the defining characteristic of simple random sampling?

Each member of the population has an equal probability of being selected Signup and view all the answers

What is the main characteristic of cluster sampling?

Involves dividing the population into clusters or groups Signup and view all the answers

What is the key characteristic of stratified random sampling?

Involves dividing the population into subgroups or strata based on certain characteristics Signup and view all the answers

What is the main characteristic of quota sampling?

Targets specific subgroups based on characteristics Signup and view all the answers

What distinguishes multistage sampling from other sampling methods?

It involves multiple stages of sampling Signup and view all the answers

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.

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Description

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.