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Non Probability Sampling Quiz 13 (10 MCQs)

This set of multiple-choice questions evaluates understanding of non-probability sampling techniques, including judgment sampling, convenience sampling, quota sampling, and purposive selection criteria. It assesses the ability to identify sampling techniques, understand research objectives, and recognize the impact of subjective criteria and biased samples on research design.

Quiz Instructions

Select an option to see the correct answer instantly.

1. The statement "The procedure is not mechanical; it depends on the investigator's decision-making process" corresponds to which type of sampling?

Correct Answer: Correct answer is: (A) Nonprobabilistic samples.

Exam Relevance: AP Statistics, GRE, MCAT, GMAT

Difficulty: Moderate

Concept notes: Nonprobabilistic sampling involves selecting samples based on the investigator's judgment or convenience, rather than a random selection process.

Common Mistakes: A common misunderstanding is that all sampling methods are random and mechanical, which is not true for nonprobabilistic sampling.

Explanations: Nonprobabilistic sampling methods rely on the investigator's decision-making process, which can involve subjective criteria such as convenience, judgment, or quota. This contrasts with probabilistic sampling methods, which use a random selection process to ensure each member of the population has a known, non-zero chance of being selected. The statement "The procedure is not mechanical; it depends on the investigator's decision-making process" aligns with the characteristics of nonprobabilistic sampling.

Option Analysis:

Option A: Correct. Nonprobabilistic sampling involves subjective decision-making by the investigator.
Option B: Incorrect. Probabilistic sampling involves a random selection process, which is mechanical and not dependent on the investigator's decision-making process.
Option C: Incorrect. Systematic sampling is a type of probabilistic sampling where every nth member of the population is selected, following a mechanical process.
Option D: Incorrect. Cluster sampling is a type of probabilistic sampling where clusters of the population are randomly selected, which is also a mechanical process.

2. Which scenario best illustrates referral sampling?

Correct Answer: Correct answer is: (A) An initial group of experts recommends peers who then recommend others.

Exam Relevance: AP Statistics, GRE, MCAT, Sociology exams

Difficulty: Moderate

Concept notes: Referral sampling, also known as 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 referral sampling is a form of random sampling. However, referral sampling is a non-probability sampling method, which means it does not provide a representative sample of the population.

Explanations: Referral sampling involves an initial group of experts who recommend peers, and these peers then recommend others. This process continues, creating a chain of referrals. This method is particularly useful when the population is difficult to access directly, such as in studies involving rare conditions or hidden populations.

Option Analysis:

Option A: This option correctly describes referral sampling, where an initial group of experts recommends peers who then recommend others.
Option B: This describes stratified sampling, a probability sampling method where the population is divided into strata and samples are taken from each stratum.
Option C: This describes systematic sampling, a probability sampling method where elements are selected at regular intervals from a sampling frame.
Option D: This describes simple random sampling, a probability sampling method where each member of the population has an equal chance of being selected.

3. What is a volunteer sample?

Correct Answer: Correct answer is: (B) People respond to an advert.

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

Difficulty: Easy

Concept notes: A volunteer sample is a type of non-probability sampling where participants volunteer to be part of the study, often in response to an advertisement or call for volunteers.

Common Mistakes: A common misunderstanding is that volunteer samples are representative of the population, but they are often biased as they only include those who choose to participate.

Explanations: In non-probability sampling, the selection of participants is not based on randomization. Volunteer samples are formed when individuals volunteer to participate, typically in response to an advertisement. This method is convenient but can introduce bias, as the sample may not accurately represent the broader population.

Option Analysis:

Option A: This describes a simple random sample, not a volunteer sample.
Option B: This correctly describes a volunteer sample, where participants volunteer in response to an advertisement.
Option C: This describes stratified sampling, which is a probability sampling method.
Option D: This describes convenience sampling, which is different from volunteer sampling.

4. What sampling technique selects participants based on predefined criteria?

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

Exam Relevance: GRE, GMAT, Research Methods Exams

Difficulty: Moderate

Concept notes: Purposive sampling is a non-probability sampling technique where participants are selected based on specific criteria that are relevant to the research question.

Common Mistakes: A common misunderstanding is that random sampling is the only method that selects participants based on criteria, but in fact, purposive sampling also uses predefined criteria to select participants.

Explanations: Purposive sampling is a non-probability sampling technique where participants are selected based on specific criteria that are relevant to the research question. This method is used when the researcher has a clear idea of the characteristics needed in the sample to address the research objectives. The selection is not random but rather based on the researcher's judgment and the predefined criteria.

Option Analysis:

Option A: Correct. Purposive sampling involves selecting participants based on predefined criteria.
Option B: Incorrect. Random sampling involves selecting participants randomly, without predefined criteria.
Option C: Incorrect. Cluster sampling involves dividing the population into clusters and then randomly selecting entire clusters.
Option D: Incorrect. Stratified sampling involves dividing the population into strata and then randomly selecting participants from each stratum.

Mnemonic: Purposive = Purposeful Selection

5. A process of selecting respondents which the members of the entire population do not have an equal chance of being selected as samples

Correct Answer: Correct answer is: (B) Non-probability sampling.

Exam Relevance: AP Statistics, GRE, MCAT, GMAT

Difficulty: Moderate

Concept notes: Non-probability sampling is a sampling technique where not all members of the population have 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 less rigorous or less scientific than probability sampling. However, non-probability sampling can be useful in certain contexts, such as exploratory research or when a complete list of the population is not available.

Explanations: Non-probability sampling is characterized by the fact that the selection of respondents is not based on a random process. This means that some members of the population may have a higher or lower chance of being selected, leading to potential biases in the sample. This aligns with the description given in the question, where members of the entire population do not have an equal chance of being selected as samples.

Option Analysis:

Option A: Probability random sampling involves a random selection process where each member of the population has an equal chance of being selected. This does not match the description in the question.
Option B: Non-probability sampling involves a selection process where members of the population do not have an equal chance of being selected. This matches the description in the question.

6. Which example aligns with purposive (judgmental) sampling?

Correct Answer: Correct answer is: (C) Selecting only rehabilitation center inmates to study addiction.

Exam Relevance: AP Statistics, GRE Psychology, Research Methods in Psychology

Difficulty: Moderate

Concept notes: Purposive (judgmental) sampling involves selecting participants based on specific criteria that are relevant to the research question. This method is non-probabilistic and relies on the researcher's judgment to choose participants who are most suitable for the study.

Common Mistakes: A common misunderstanding is that purposive sampling is random or representative. However, it is a deliberate selection process based on specific criteria.

Explanations: Purposive sampling is used when the researcher aims to study a specific group that is relevant to the research question. In this case, selecting only rehabilitation center inmates to study addiction is a clear example of purposive sampling because the researcher is deliberately choosing a group that is most relevant to the study of addiction.

Option Analysis:

Option A: Using town census lists to sample households is an example of probability sampling, not purposive sampling.
Option B: Choosing participants by lottery for fairness is an example of simple random sampling, which is a probability sampling method.
Option C: Selecting only rehabilitation center inmates to study addiction is an example of purposive sampling because it involves deliberate selection based on specific criteria.
Option D: Recruiting volunteers via online survey ads is an example of convenience sampling, not purposive sampling.

7. What is the key characteristic of convenience sampling?

Correct Answer: Correct answer is: (A) Choosing readily available respondents near the researcher.

Exam Relevance: AP Statistics, GRE, GMAT, 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.

Common Mistakes: A common misunderstanding is that convenience sampling involves random selection, which it does not. Random selection is a characteristic of probability sampling, not convenience sampling.

Explanations: Convenience sampling involves selecting participants who are readily available and easy to access. This method is often used when the researcher needs quick and easy access to participants, without the need for a more rigorous selection process. The key characteristic is the ease of access and availability of the respondents, which aligns with the description in option A.

Option Analysis:

Option A: This is the correct answer as it accurately describes the key characteristic of convenience sampling.
Option B: This describes random sampling, which is a probability sampling technique, not a non-probability technique like convenience sampling.
Option C: This describes cluster sampling, which is a probability sampling technique where clusters of individuals are selected, not a non-probability technique.
Option D: This describes stratified sampling, which is a probability sampling technique where the population is divided into subgroups, not a non-probability technique.

8. The researcher has a clear idea of the sample and they pick participants that meet their critera

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

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

Difficulty: Moderate

Concept notes: Quota sampling is a non-probability sampling technique where the researcher selects participants based on specific criteria until a predetermined number of participants (quota) is reached for each category.

Common Mistakes: A common misunderstanding is confusing quota sampling with random sampling. In quota sampling, the researcher deliberately selects participants who meet certain criteria, whereas in random sampling, participants are chosen randomly from the population.

Explanations: Quota sampling involves the researcher having a clear idea of the sample and selecting participants that meet specific criteria until a predetermined number is reached. This aligns with the description given in the question, where the researcher picks participants that meet their criteria.

Option Analysis:

Option A: Random sampling involves selecting participants randomly from the population, which does not match the description of the researcher having a clear idea of the sample and selecting based on criteria.
Option B: Quota sampling involves selecting participants based on specific criteria until a quota is met, which matches the description in the question.
Option C: Volunteer sampling involves participants who volunteer to be part of the study, which does not necessarily involve the researcher having a clear idea of the sample and selecting based on criteria.
Option D: This option is incorrect as quota sampling is a valid non-probability sampling technique.

Mnemonic: Quota: Quotas for Qualities

9. The Purposive sample will be

Correct Answer: Correct answer is: (B) Based upon a specific objective of sampling procedure.

Exam Relevance: GRE, GMAT, Research Methodology Exams, Psychology Exams

Difficulty: Moderate

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

Common Mistakes: A common misunderstanding is that purposive sampling is arbitrary or based on the researcher's whims, but it is actually guided by specific research objectives.

Explanations: Purposive sampling is a deliberate method where the researcher selects participants who meet certain criteria that are relevant to the research objectives. This method is not random and is not based on the researcher's whims. Instead, it is based on the specific objectives of the sampling procedure, ensuring that the sample is appropriate for the research question.

Option Analysis:

Option A: This option is incorrect because purposive sampling is not based on the researcher's whims but on specific criteria.
Option B: This option is correct because purposive sampling is based on specific objectives of the sampling procedure.
Option C: This option is incorrect because it does not specify the basis for the sampling method.
Option D: This option is incorrect because one of the provided options (B) is correct.

10. What type of sampling? A journalist asks his family how they feel about water pollution.

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

Exam Relevance: AP Statistics, GRE, GMAT

Difficulty: Easy

Concept notes: A convenience sample is a type of non-probability sampling where the sample is selected based on ease of access and availability.

Common Mistakes: A common mistake is to confuse convenience sampling with random sampling, where every individual has an equal chance of being selected.

Explanations: The journalist asking his family about water pollution is an example of a convenience sample because the sample (the journalist's family) is chosen based on ease of access rather than a systematic or random selection process.

Option Analysis:

Option A: Random sample involves selecting individuals randomly, which is not the case here.
Option B: Convenience sample is correct because the journalist's family is easily accessible.
Option C: Stratified random sample involves dividing the population into strata and then randomly selecting from each stratum, which is not applicable here.
Option D: Census involves surveying the entire population, which is not the case here.

Frequently Asked Questions

What is non-probability sampling?

Non-probability sampling is a sampling technique where the selection of participants is based on subjective criteria rather than random selection, leading to unequal chances of selection.

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

Convenience sampling involves selecting participants based on their ease of access, making it the simplest form of non-probability sampling, often used when quick and easy data collection is needed.

What is the main advantage of using non-probability sampling in research?

The main advantage of non-probability sampling is its ease and cost-effectiveness, allowing researchers to gather data quickly without the need for complex sampling frames.

How does purposive sampling work?

Purposive sampling involves selecting participants based on specific predefined criteria that are relevant to the research objectives, ensuring that the sample is representative of the desired characteristics.

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

The investigator plays a crucial role in non-probability sampling by making decisions about the selection criteria and the participants, which can introduce bias into the sample.

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