Sampling Methods Quiz
15 Questions
18 Views

Choose a study mode

Play Quiz
Study Flashcards
Spaced Repetition
Chat to Lesson

Podcast

Play an AI-generated podcast conversation about this lesson

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?

<p>Limited generalizability (B)</p> Signup and view all the answers

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

<p>Convenience sampling (A)</p> Signup and view all the answers

What is the defining characteristic of random sampling?

<p>Equal chance of being chosen for each member of the population (D)</p> Signup and view all the answers

Which type of sampling facilitates statistical inference and generalizability?

<p>Probability sampling (C)</p> Signup and view all the answers

What is the key characteristic of multistage sampling?

<p>Involves multiple stages of sampling (A)</p> 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?

<p>Quota Sampling (B)</p> Signup and view all the answers

What is the key characteristic of purposive/selective sampling?

<p>Participants are selected purposefully based on specific criteria (B)</p> Signup and view all the answers

What is the defining characteristic of simple random sampling?

<p>Each member of the population has an equal probability of being selected (C)</p> Signup and view all the answers

What is the main characteristic of cluster sampling?

<p>Involves dividing the population into clusters or groups (D)</p> Signup and view all the answers

What is the key characteristic of stratified random sampling?

<p>Involves dividing the population into subgroups or strata based on certain characteristics (D)</p> Signup and view all the answers

What is the main characteristic of quota sampling?

<p>Targets specific subgroups based on characteristics (B)</p> Signup and view all the answers

What distinguishes multistage sampling from other sampling methods?

<p>It involves multiple stages of sampling (B)</p> Signup and view all the answers

Flashcards

Convenience Sampling

Using readily available participants, often due to proximity or ease of access.

Random Sampling

Participants are randomly selected from the population, giving each an equal chance.

Simple Random Sampling

A random selection method where each individual in the population has an equal chance.

Probability Sampling

Sampling method that allows for statistical analysis and generalizability.

Signup and view all the flashcards

Non-Probability Sampling

Sampling methods where every member doesn't have equal chance of selection.

Signup and view all the flashcards

Multistage Sampling

Selecting participants in multiple steps, often due to practicality.

Signup and view all the flashcards

Quota Sampling

Selecting participants based on pre-set characteristics to represent subgroups.

Signup and view all the flashcards

Purposive Sampling

Selecting participants based on specific traits or attributes.

Signup and view all the flashcards

Cluster Sampling

Selecting intact groups (clusters) instead of individuals.

Signup and view all the flashcards

Stratified Random Sampling

Dividing the population into groups (strata) and randomly selecting from each.

Signup and view all the flashcards

Statistical Inference

Using sample data to draw conclusions about a larger population.

Signup and view all the flashcards

Generalizability

The ability to apply findings from a sample to the broader population.

Signup and view all the flashcards

Sampling Limitations (Non-Probability)

Cannot make inferences or generalize to a wider population

Signup and view all the flashcards

Defining Random Sampling

Each individual has equal chance to be selected

Signup and view all the flashcards

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.

Studying That Suits You

Use AI to generate personalized quizzes and flashcards to suit your learning preferences.

Quiz Team

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.

More Like This

Use Quizgecko on...
Browser
Open
Browser
Browser