🏠 Homepage 📘 Download PDF Books 📕 Premium PDF Books

Non Probability Sampling Quiz 21 (10 MCQs)

This set of multiple-choice questions evaluates understanding of non-probability sampling techniques, including purposive and snowball sampling. It assesses the ability to identify and apply these methods, particularly in the context of hard-to-reach populations and hidden populations. The questions cover random selection criteria, chain-referral processes, and the accessibility and availability of participants.

Quiz Instructions

Select an option to see the correct answer instantly.

1. The researchers have evaluated that their target participants are difficult to reach. What sampling method would they use?

Correct Answer: Correct answer is: (C) Snowball sampling.

Exam Relevance: AP Statistics, Psychology Research Methods, Sociology Research Methods

Difficulty: Moderate

Concept notes: Snowball sampling is a non-probability sampling technique used when the target population is difficult to reach or identify.

Common Mistakes: A common misunderstanding is that snowball sampling is only used for small, niche populations. However, it can be effective for any population that is hard to access.

Explanations: Snowball sampling is appropriate when the target participants are difficult to reach. This method relies on initial participants to refer other members of the population, creating a chain of referrals. This technique is particularly useful when the population is hidden or hard to identify, such as in studies involving rare conditions or stigmatized behaviors.

Option Analysis:

Option A: Quota sampling involves selecting participants based on specific characteristics until a quota is met. It does not address the issue of participants being difficult to reach.
Option B: Systematic sampling involves selecting every nth participant from a list. This method does not account for the difficulty in reaching participants.
Option C: Snowball sampling is the correct choice because it leverages referrals from initial participants to reach the target population, making it suitable for hard-to-reach groups.
Option D: Convenience sampling involves selecting participants who are readily available, which may not be representative of the target population and does not address the issue of difficulty in reaching participants.

2. A type of non-probability sampling where the researcher is selecting a sample based on the availability of the member and/or proximity to the researcher

Correct Answer: Correct answer is: (A) Convenience sampling.

Exam Relevance: AP Statistics, GRE, MCAT, Research Methods Exams

Difficulty: Easy

Concept notes: Convenience sampling is a non-probability sampling technique where participants are selected based on their availability and ease of access to the researcher.

Common Mistakes: A common misunderstanding is confusing convenience sampling with other non-probability sampling methods like purposive or quota sampling, which have different criteria for selecting participants.

Explanations: Convenience sampling is the correct answer because it involves selecting participants based on their availability and proximity to the researcher, which aligns with the description provided in the question. This method is often used when it is difficult or impractical to use more rigorous sampling techniques.

Option Analysis:

Option A: Correct. Convenience sampling involves selecting participants based on their availability and proximity to the researcher.
Option B: Incorrect. Purposive sampling involves selecting participants based on specific characteristics or qualities relevant to the research question.
Option C: Incorrect. Quota sampling involves selecting participants to meet certain quotas or proportions based on specific characteristics.
Option D: Incorrect. Snowball sampling involves selecting participants through referrals from initial participants, often used when the population is hard to reach.

3. It is called "chain-referral" sampling technique.

Correct Answer: Correct answer is: (D) Snowball.

Exam Relevance: AP Statistics, Psychology Research Methods, Sociology Research Methods

Difficulty: Moderate

Concept notes: Snowball sampling is a non-probability sampling technique where existing study subjects recruit future subjects from among their acquaintances.

Common Mistakes: A common misunderstanding is confusing snowball sampling with other non-probability sampling methods like quota or multistage sampling, which have different recruitment processes.

Explanations: Snowball sampling is appropriate when the population is hard to reach or rare. It starts with a few initial subjects who then recruit others from their social networks. This method is called "chain-referral" because each participant refers others, creating a chain of referrals. This technique is particularly useful in studies involving hidden or hard-to-reach populations.

Option Analysis:

Option A: Volunteer sampling involves participants who volunteer to be part of the study, which is different from the chain-referral process.
Option B: Quota sampling involves selecting participants to meet specific quotas, which is not related to the chain-referral process.
Option C: Multistage sampling involves multiple stages of sampling, often used in probability sampling, which is different from the chain-referral process.
Option D: Snowball sampling involves a chain-referral process where existing participants recruit others, fitting the description given in the question.

Mnemonic: Snowball: "Snowball rolls, gathering more snow."

4. Why might surveying patients in a government hospital OPD be considered convenience sampling?

Correct Answer: Correct answer is: (B) Participants are readily accessible at one location.

Exam Relevance: GRE, MCAT, GMAT, Nursing Exams, Public Health Exams

Difficulty: Moderate

Concept notes: Convenience sampling is a type of non-probability sampling where participants are selected based on their availability and ease of access. This method is often used when it is difficult or impractical to use more rigorous sampling techniques.

Common Mistakes: A common misunderstanding is that convenience sampling involves random selection, which it does not. Convenience sampling relies on the ease of access to participants, not on random assignment.

Explanations: Surveying patients in a government hospital OPD is considered convenience sampling because the participants are readily accessible at one location. This method does not involve random selection or probability sampling techniques, but rather relies on the ease of accessing a specific group of people who are conveniently available.

Option Analysis:

Option A: This option is incorrect because convenience sampling does not involve random assignment. Random assignment is a characteristic of probability sampling methods, not convenience sampling.
Option B: This option is correct because convenience sampling involves selecting participants based on their accessibility and ease of access. Surveying patients in a government hospital OPD fits this description.
Option C: This option is incorrect because probability proportional to size is a method used in probability sampling, not convenience sampling.
Option D: This option is incorrect because constructing sampling frames from national registries is a method used in probability sampling, not convenience sampling.

5. Which one of the following are methods of non-probability sampling? 1. Purposive sampling2. Snowball sampling3. Stratified sampling4. Systematic random sampling

Correct Answer: Correct answer is: (A) 1 and 2.

Exam Relevance: AP Statistics, GRE, MCAT, GMAT

Difficulty: Easy

Concept notes: Non-probability sampling methods are those where the selection of participants is not based on randomization. Purposive sampling and snowball sampling are examples of non-probability sampling methods. Stratified sampling and systematic random sampling, on the other hand, are probability sampling methods.

Common Mistakes: A common mistake is confusing stratified sampling and systematic random sampling with non-probability methods. These are actually probability sampling methods because they involve some form of random selection.

Explanations: Purposive sampling involves selecting participants based on specific criteria or characteristics, which is a non-probability method. Snowball sampling involves existing study subjects recruiting future subjects from among their acquaintances, which is also a non-probability method. Stratified sampling and systematic random sampling both involve random selection, making them probability sampling methods.

Option Analysis:

Option A: Correct. Purposive sampling and snowball sampling are non-probability methods.
Option B: Incorrect. Snowball sampling is non-probability, but stratified sampling is probability.
Option C: Incorrect. Stratified sampling is a probability method, not a non-probability method.
Option D: Incorrect. Both stratified sampling and systematic random sampling are probability methods.

6. It is appropriate to be used in research when the members of the population are difficult to locate,such as homeless individuals, migrant workers, undocumented immigrants

Correct Answer: Correct answer is: (D) Snowball sampling.

Exam Relevance: AP Statistics, GRE, MCAT, GMAT

Difficulty: Moderate

Concept notes: Snowball sampling is a non-probability sampling technique where existing study subjects recruit future subjects from among their acquaintances.

Common Mistakes: A common misunderstanding is that snowball sampling is only useful for small, niche populations. However, it is particularly effective for hard-to-reach populations.

Explanations: Snowball sampling is appropriate for research involving populations that are difficult to locate, such as homeless individuals, migrant workers, and undocumented immigrants. This method relies on referrals from initial participants to recruit additional participants, making it effective for accessing hidden or hard-to-reach populations.

Option Analysis:

Option A: Convenience sampling involves selecting individuals who are easiest to reach, which may not be suitable for hard-to-reach populations.
Option B: Judgemental sampling relies on the researcher's discretion, which may not be effective for populations that are difficult to locate.
Option C: Quota sampling involves selecting participants to meet specific quotas, which may not be feasible for hard-to-reach populations.
Option D: Snowball sampling is effective for populations that are difficult to locate, as it relies on referrals from initial participants.
Option E: Purposive sampling involves selecting participants based on specific criteria, which may not be effective for hard-to-reach populations.

7. All of the sampling methods below are proper sampling methods involving randomness, except

Correct Answer: Correct answer is: (B) Convenience sampling.

Exam Relevance: AP Statistics, GRE, GMAT, MCAT

Difficulty: Easy

Concept notes: Convenience sampling is a non-probability sampling method where participants are selected based on their availability and ease of access. It does not involve randomness, unlike systematic, cluster, and stratified sampling methods.

Common Mistakes: A common misunderstanding is that convenience sampling involves randomness, which it does not. It is often confused with other sampling methods that do involve randomness.

Explanations: Convenience sampling is a non-probability sampling method where participants are chosen based on their availability and ease of access. This method does not involve randomness, making it the only option that does not fit the criteria of proper sampling methods involving randomness. Systematic sampling, cluster sampling, and stratified sampling all involve some form of random selection or allocation, ensuring that each member of the population has a known, non-zero chance of being selected.

Option Analysis:

Option A: Systematic sampling involves selecting every kth element from a list after a random start, ensuring randomness.
Option B: Convenience sampling involves selecting participants based on their availability, not randomness.
Option C: Cluster sampling involves randomly selecting clusters from a population and then sampling all or some members within those clusters, ensuring randomness.
Option D: Stratified sampling involves dividing the population into strata and then randomly selecting samples from each stratum, ensuring randomness.

8. This sampling technique targets a particular group of people who would make good study participants because of their characteristics.

Correct Answer: Correct answer is: (A) Purposive sampling.

Exam Relevance: AP Statistics, Psychology Research Methods, Sociology Research Methods

Difficulty: Moderate

Concept notes: Purposive sampling is a non-probability sampling technique where the researcher selects participants based on specific characteristics or qualities that are relevant to the study.

Common Mistakes: A common misunderstanding is confusing purposive sampling with convenience sampling, which involves selecting participants based on ease of access rather than specific characteristics.

Explanations: Purposive sampling is used when the researcher aims to target a particular group of people who possess specific characteristics that are relevant to the study. This technique ensures that the sample is composed of individuals who can provide meaningful insights or data, making it suitable for qualitative research or exploratory studies.

Option Analysis:

Option A: Correct. Purposive sampling targets specific characteristics relevant to the study.
Option B: Incorrect. Theoretical sampling is used in grounded theory research to develop a theory based on emerging data.
Option C: Incorrect. Snowball sampling is used when the population is hard to reach and relies on referrals from initial participants.
Option D: Incorrect. Convenience sampling involves selecting participants based on their availability and ease of access.

Mnemonic: Purposive: Purpose-driven participants

9. You want to know the effects of the COVID-19 to the Filipino people and youwill ask the medical frontliners. Which type of sampling will you use?

Correct Answer: Correct answer is: (B) Purposive.

Exam Relevance: AP Statistics, GRE, MCAT

Difficulty: Moderate

Concept notes: Purposive sampling involves selecting participants based on specific criteria or characteristics relevant to the research question. In this case, the researcher is interested in the effects of COVID-19 on Filipino people and specifically wants to ask medical frontliners, who are directly involved in treating patients.

Common Mistakes: A common mistake is confusing purposive sampling with convenience sampling, where participants are chosen based on ease of access rather than specific criteria.

Explanations: Purposive sampling is the most appropriate method here because the researcher is targeting a specific group (medical frontliners) who have direct experience with the effects of COVID-19 on Filipino people. This method ensures that the sample is relevant and provides valuable insights into the research question.

Option Analysis:

Option A: Convenience sampling involves selecting participants based on their availability and ease of access, which does not align with the specific criteria needed for this research.
Option B: Purposive sampling is the correct choice as it involves selecting participants based on specific criteria relevant to the research question.
Option C: Stratified sampling involves dividing the population into subgroups and then randomly selecting from each subgroup, which is not applicable here as the sample is not being divided into subgroups.
Option D: Systematic sampling involves selecting every nth participant from a list, which does not align with the specific criteria needed for this research.

Mnemonic: Purposive: Purpose-driven participants

10. What is Snowball Sampling?

Correct Answer: Correct answer is: (C) When one participant introduces the researcher to other members in the population.

Exam Relevance: AP Statistics, Psychology Research Methods, Sociology Exams

Difficulty: Moderate

Concept notes: Snowball sampling is a non-probability sampling technique where existing study subjects recruit future subjects from among their acquaintances. This method is particularly useful when the population is hard to reach or when the sample size is small.

Common Mistakes: A common misunderstanding is that snowball sampling involves random selection, which it does not. It relies on referrals from initial participants.

Explanations: Snowball sampling is a non-probability sampling method where initial participants recruit other members of the population into the study. This technique is particularly useful when the population is difficult to access or when the sample size is small. The process starts with a few initial participants who then refer others, creating a chain of referrals. This method is not random and relies on the connections and networks of the initial participants.

Option Analysis:

Option A: This describes simple random sampling, not snowball sampling.
Option B: This describes systematic sampling, not snowball sampling.
Option C: This correctly describes snowball sampling, where participants introduce other members to the researcher.
Option D: This describes quota sampling, not snowball sampling.

Frequently Asked Questions

What is non-probability sampling?

Non-probability sampling is a sampling technique where the probability of selecting each member of the population is unknown or not equal. It is often used when probability sampling is not feasible.

How does convenience sampling differ from other non-probability methods?

Convenience sampling involves selecting participants based on their availability and ease of access. It differs from other non-probability methods in that it relies heavily on the accessibility and convenience of the sample, rather than specific characteristics or referral processes.

What is the main advantage of using snowball sampling?

Snowball sampling is particularly useful for studying hard-to-reach or hidden populations. It relies on referrals from initial participants to recruit subsequent participants, making it effective for accessing groups that are difficult to identify or contact.

Can non-probability sampling be used in medical research?

Yes, non-probability sampling can be used in medical research, especially when studying specific characteristics or behaviors among medical frontliners or other targeted groups. It allows researchers to gather data from accessible and relevant participants.

What is the role of purposive sampling in research?

Purposive sampling is used when the researcher selects participants based on specific characteristics or qualities relevant to the research question. It is particularly useful for qualitative research where the goal is to gain in-depth insights from targeted individuals.

🏠 Back to Homepage 📘 Download PDF Books 📕 Premium PDF Books