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Non Probability Sampling Quiz 17 (10 MCQs)

This set of multiple-choice questions evaluates understanding of non-probability sampling techniques, including purposive, quota, and snowball sampling. It assesses deliberate participant selection, confidentiality in research, and sampling bias, particularly in hidden populations and rare user groups.

Quiz Instructions

Select an option to see the correct answer instantly.

1. In this method, the researcher sets guidelines on how to select participants from the population and the selection process is more deliberate and not random.

Correct Answer: Correct answer is: (B) Non probabilistic sampling.

Exam Relevance: AP Statistics, GRE, MCAT

Difficulty: Moderate

Concept notes: Non probabilistic sampling involves deliberate selection of participants based on specific criteria rather than random selection.

Common Mistakes: A common misunderstanding is that non probabilistic sampling is random, when in fact it is a deliberate process.

Explanations: Non probabilistic sampling involves setting guidelines for selecting participants from the population in a deliberate manner. This method does not rely on random selection, but rather on specific criteria or judgment to choose participants. This aligns with the description provided in the question, where the selection process is more deliberate and not random.

Option Analysis:

Option A: Probabilistic sampling involves random selection, which does not match the description given in the question.
Option B: Non probabilistic sampling involves deliberate selection based on specific criteria, which matches the description given in the question.

2. A researcher divides his population into certain groups and fixes the size of the sample from each group. It is called

Correct Answer: Correct answer is: (B) Quota sample.

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

Difficulty: Moderate

Concept notes: Quota sampling is a non-probability sampling technique where the population is divided into subgroups (strata), and a fixed number of individuals are sampled from each subgroup. This ensures that the sample reflects the proportions of the population in terms of the characteristics used to form the strata.

Common Mistakes: A common misunderstanding is confusing quota sampling with stratified sampling. While both involve dividing the population into subgroups, stratified sampling uses random sampling within each stratum, whereas quota sampling does not.

Explanations: Quota sampling is a non-probability sampling method where the researcher divides the population into subgroups and fixes the size of the sample from each subgroup. This ensures that the sample includes a predetermined number of individuals from each subgroup, reflecting the population's characteristics. This method is different from stratified sampling, which involves random selection within each stratum.

Option Analysis:

Option A: Stratified sample involves dividing the population into strata and then randomly selecting samples from each stratum. This is a probability sampling method, not a non-probability method.
Option B: Quota sample involves dividing the population into subgroups and fixing the size of the sample from each subgroup, which matches the description given in the question.
Option C: Cluster sample involves dividing the population into clusters and randomly selecting entire clusters for the sample. This is a probability sampling method, not a non-probability method.
Option D: This option suggests that all of the above are correct, which is incorrect as only quota sampling fits the description given.

Mnemonic: Quota: Quotas for each group.

3. You must interview cybersecurity whistleblowers, a hard-to-reach group without a public list. Which approach is most defensible and why?

Correct Answer: Correct answer is: (C) Snowball sampling, because peers can confidentially refer others.

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. This method is particularly useful when the population of interest is hard to reach or hidden.

Common Mistakes: A common misunderstanding is that simple random sampling or systematic sampling can be easily applied to hard-to-reach populations. However, these methods require a complete list of the population, which is often not available for hidden or hard-to-reach groups.

Explanations: Snowball sampling is the most defensible approach for interviewing cybersecurity whistleblowers because it leverages the existing network of individuals within the group. Peers can confidentially refer others, making it easier to reach a hidden or hard-to-reach population. This method ensures that the sample is more likely to include individuals who are willing to share their experiences, while maintaining confidentiality.

Option Analysis:

Option A: Simple random sampling requires a complete list of the population, which is not available for hard-to-reach groups like cybersecurity whistleblowers.
Option B: Quota sampling does not guarantee full representativeness, especially for hidden populations, and it does not address the issue of confidentiality.
Option C: Snowball sampling is effective for hidden populations as it relies on referrals from existing members, ensuring confidentiality and access to the target group.
Option D: Systematic sampling also requires a complete list of the population and does not address the confidentiality and access issues inherent in reaching hard-to-reach groups.

Mnemonic: Snowball rolls, revealing hidden gems.

4. In the purposive method of sampling design, items are selected according to .....

Correct Answer: Correct answer is: (A) Personal judgement.

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

Difficulty: Moderate

Concept notes: In non-probability sampling, items are selected based on the researcher's personal judgement rather than random selection.

Common Mistakes: A common misunderstanding is that non-probability sampling involves random selection, which is incorrect. Non-probability sampling relies on the researcher's discretion.

Explanations: The purposive method of sampling design involves selecting items based on the researcher's personal judgement. This method is used when the researcher has specific criteria or characteristics in mind and selects items that meet these criteria. It is a form of non-probability sampling where the selection is not based on probability but on the researcher's subjective decision.

Option Analysis:

Option A: Correct. Personal judgement is the basis for purposive sampling.
Option B: Incorrect. Law of probability is associated with probability sampling, not non-probability sampling.
Option C: Incorrect. Law of certainty is not a recognized principle in sampling methods.
Option D: Incorrect. The correct answer is provided in option A.

5. In Jacob's study, he asks the first 10 people he meets to be participants. What sampling method is this an example of?

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

Exam Relevance: AP Statistics, IB Statistics, GRE, GMAT

Difficulty: Easy

Concept notes: Convenience sampling involves selecting participants based on their availability and ease of access.

Common Mistakes: A common mistake is confusing convenience sampling with random sampling, where participants are chosen randomly from a defined population.

Explanations: In Jacob's study, he asks the first 10 people he meets to be participants. This method of selecting participants is based on their availability and ease of access, which is the definition of convenience sampling. Convenience sampling is a non-probability sampling method where the sample is selected based on convenience rather than a random process.

Option Analysis:

Option A: Random sampling involves selecting participants randomly from a defined population, which is not the case here.
Option B: Convenience sampling involves selecting participants based on their availability and ease of access, which matches Jacob's method.
Option C: Stratified sampling involves dividing the population into subgroups and then randomly selecting participants from each subgroup, which is not the case here.
Option D: Systematic sampling involves selecting participants at regular intervals from a list, which is not the case here.

6. You are studying a rare user group. What sampling method is most effective?

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

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

Difficulty: Moderate

Common Mistakes: A common misunderstanding is that systematic, stratified, or cluster sampling methods are more effective for rare user groups. However, these methods require a complete list of the population, which is often not available for rare or hidden populations.

Explanations: Snowball sampling is effective for rare user groups because it leverages the social networks of initial participants to reach other members of the population. This method is particularly useful when the population is difficult to access or identify, as it relies on referrals from initial participants to recruit additional subjects.

Option Analysis:

Option A: Systematic sampling involves selecting every kth element from a list, which is not suitable for rare user groups as it requires a complete list of the population.
Option B: Stratified sampling involves dividing the population into subgroups and then sampling from each subgroup. This method is not effective for rare user groups because it requires a complete list of the population and the ability to identify and stratify the subgroups.
Option C: Cluster sampling involves dividing the population into clusters and then randomly selecting clusters to sample. This method is not effective for rare user groups because it requires a complete list of the population and the clusters may not contain the rare user group.
Option D: Snowball sampling is effective for rare user groups because it leverages the social networks of initial participants to recruit additional subjects, making it ideal for populations that are difficult to access or identify.

7. Convenience sampling is a type of probability sampling.

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

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

Difficulty: Easy

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

Common Mistakes: A common misunderstanding is that convenience sampling is a form of probability sampling, where every individual in the population has an equal chance of being selected.

Explanations: Convenience sampling is a non-probability sampling method because it does not ensure that every individual in the population has an equal chance of being selected. Instead, it relies on the ease of access to participants, which can introduce bias and does not provide a representative sample of the population.

Option Analysis:

Option A: This option is incorrect because convenience sampling is not a type of probability sampling.
Option B: This option is correct because convenience sampling is a type of non-probability sampling.

8. Members of the population do not have the equal chance of being selected.

Correct Answer: Correct answer is: (B) Non-Probability Sampling.

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

Difficulty: Moderate

Concept notes: Non-probability sampling involves selecting members of a population in a way that does not give all individuals an equal chance of being selected. This contrasts with probability sampling, where each member has a known, non-zero chance of selection.

Common Mistakes: A common misunderstanding is that non-probability sampling is always less reliable than probability sampling. While non-probability sampling can introduce bias, it can still be useful in certain contexts, such as exploratory research or when probability sampling is not feasible.

Explanations: Non-probability sampling is characterized by the lack of equal selection chances for all members of the population. This aligns with the statement that members of the population do not have an equal chance of being selected. Non-probability sampling methods include convenience sampling, quota sampling, purposive sampling, and snowball sampling, among others.

Option Analysis:

Option A: Probability Sampling involves giving each member of the population an equal chance of being selected, which contradicts the statement in the question.
Option B: Non-Probability Sampling involves selecting members without equal chances, which matches the statement in the question.
Option C: Purposive sampling is a type of non-probability sampling, but it is too specific to be the general answer to the question.
Option D: Judgmental Sampling is another type of non-probability sampling, but it is also too specific to be the general answer to the question.

9. Purposive sampling is used when:

Correct Answer: Correct answer is: (B) Units are selected deliberately.

Exam Relevance: AP Statistics, GRE, MCAT, GMAT

Difficulty: Moderate

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

Common Mistakes: A common misunderstanding is that purposive sampling involves random selection, which it does not. Purposive sampling is deliberate and targeted.

Explanations: Purposive sampling involves the deliberate selection of units based on specific criteria. This method is used when the researcher has a clear idea of the characteristics needed in the sample to address the research question. The selection is not random but rather based on the researcher's judgment and purpose.

Option Analysis:

Option A: This describes simple random sampling, not purposive sampling.
Option B: This correctly describes purposive sampling, where units are selected based on specific criteria.
Option C: This is not relevant to the sampling method but rather to the type of data collected.
Option D: This describes experimental studies, not sampling methods.

10. True or False: Snowball sampling is a type of nonprobability sampling.

Correct Answer: Correct answer is: (A) True.

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

Difficulty: Easy

Concept notes: Snowball sampling is a type of nonprobability sampling where existing study subjects recruit future subjects from among their acquaintances.

Common Mistakes: A common misunderstanding is that snowball sampling is a probability sampling method, which it is not. Probability sampling involves random selection, whereas snowball sampling relies on referrals and is nonrandom.

Explanations: Snowball sampling is a nonprobability sampling technique because it does not involve random selection. Instead, it relies on referrals from initial participants to recruit additional participants. This method is particularly useful when studying hard-to-reach populations, but it introduces biases and does not allow for the calculation of sampling errors.

Option Analysis:

Option A: Correct. Snowball sampling is indeed a type of nonprobability sampling.
Option B: Incorrect. This option would imply that snowball sampling is not a type of nonprobability sampling, which is false.

Frequently Asked Questions

What is non-probability sampling?

Non-probability sampling is a method where samples are selected based on the researcher's convenience or judgment, rather than random selection. This approach is often used when it is difficult to access a complete list of the population.

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

Purposive sampling involves selecting participants based on specific criteria relevant to the research question. Unlike convenience sampling, which relies on ease of access, purposive sampling requires deliberate selection to ensure the sample meets the study's objectives.

What is the role of quota sampling in non-probability sampling?

Quota sampling involves setting quotas for certain characteristics within the sample, such as age or gender, to ensure representation. This method helps to control for certain variables but still relies on non-random selection.

How is snowball sampling used in research?

Snowball sampling is used to study hidden or rare populations by starting with a few known individuals and asking them to refer others who fit the study criteria. This method is particularly useful when the population is difficult to access.

What are the limitations of non-probability sampling?

Non-probability sampling can introduce bias and may not accurately represent the entire population. This is because participants are not selected randomly, which can lead to unequal selection chances and skewed results.

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