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Non Probability Sampling Quiz 15 (10 MCQs)

This set of multiple-choice questions evaluates understanding of non-probability sampling methods, including convenience sampling, purposive sampling, and judgmental sampling. It tests the ability to identify sampling techniques based on specific criteria, researcher's expertise, and ease of access to participants.

Quiz Instructions

Select an option to see the correct answer instantly.

1. When people are readily available, volunteer, or are easily recruited to the sample, this is called:

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

Exam Relevance: AP Statistics, GRE, MCAT, GMAT

Difficulty: Easy

Concept notes: Convenience sampling is a non-probability sampling technique where participants are selected based on their availability and willingness to participate.

Common Mistakes: A common misunderstanding is confusing convenience sampling with other non-probability sampling methods, such as snowball sampling, which relies on referrals from initial subjects to recruit others.

Explanations: Convenience sampling involves selecting individuals who are readily available and willing to participate in the study. This method is often used when it is difficult or impractical to use more rigorous sampling techniques. The key characteristic of convenience sampling is the ease of access to the sample, making it a quick and easy method to gather data.

Option Analysis:

Option A: Snowball sampling involves recruiting participants through referrals from initial subjects, which is different from the readily available nature of convenience sampling.
Option B: Convenience sampling is the correct answer because it involves selecting participants who are readily available and willing to volunteer or be recruited easily.
Option C: Random sampling is a probability sampling method where each member of the population has an equal chance of being selected, which is not the case in convenience sampling.
Option D: This option is incorrect as convenience sampling is a valid non-probability sampling technique.

2. A sampling which is used when participants are grouped according to a set of criteria specified in your research

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

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

Difficulty: Moderate

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

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

Explanations: Purposive sampling is used when the researcher has a clear set of criteria for selecting participants. This method ensures that the sample includes individuals who meet the specific characteristics or conditions required for the study. It is particularly useful when the research aims to explore specific phenomena or behaviors within a defined group.

Option Analysis:

Option A: Systematic sampling involves selecting participants at regular intervals from a list, which does not align with the criteria-based selection described in the question.
Option B: Voluntary sampling relies on individuals who volunteer to participate, which does not necessarily involve a set of predefined criteria.
Option C: Availability sampling involves selecting participants who are readily available, which is not based on specific criteria.
Option D: Purposive sampling involves selecting participants based on specific criteria, which matches the description in the question.

Mnemonic: Purposive = Purposeful Selection

3. It is difficult and expensive to use a truly random sample and so many students get other students to fill in questionnaires for their university projects. What kind of sample is this?

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

Exam Relevance: AP Statistics, IB Statistics, Undergraduate Research Methods

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. This method is often used when it is difficult or impractical to use a more rigorous sampling method.

Common Mistakes: A common misunderstanding is that a convenience sample is a random sample. However, a convenience sample is not random and can introduce bias because it relies on the ease of access to participants.

Explanations: The correct answer is a convenience sample because the students are using other students who are readily available and easy to access to fill in the questionnaires. This method does not ensure that every individual in the population has an equal chance of being selected, which is a key characteristic of a random sample.

Option Analysis:

Option A: A quota sample involves selecting participants to meet certain quotas or proportions, which is not the case here. The students are not ensuring that the sample meets specific quotas.
Option B: A convenience sample is the correct choice because the students are using readily available participants, which aligns with the definition of a convenience sample.
Option C: A systematic random sample involves selecting every nth individual from a list, which is not the case here. The students are not using a systematic approach to select participants.
Option D: A simple random sample requires every individual in the population to have an equal chance of being selected, which is not the case here. The students are not using a random selection method.

4. A type of sampling that rely on the subjective judgment of the researcher

Correct Answer: Correct answer is: (D) Non probability sampling.

Exam Relevance: AP Statistics, GRE, MCAT, GMAT

Difficulty: Moderate

Concept notes: Non probability sampling is a sampling technique where the selection of participants is based on the subjective judgment of the researcher rather than random selection.

Common Mistakes: A common misunderstanding is that probability sampling also relies on subjective judgment, but it actually uses random selection methods to ensure each member of the population has a known, non-zero chance of being selected.

Explanations: Non probability sampling relies on the subjective judgment of the researcher to select participants. This method does not ensure that every member of the population has an equal chance of being included, which is a key characteristic of probability sampling. Therefore, the correct answer is non probability sampling.

Option Analysis:

Option A: Population refers to the entire group of individuals or items from which a sample is drawn. It is not a sampling method.
Option B: Probability sampling involves random selection methods, ensuring each member of the population has a known, non-zero chance of being selected. This is the opposite of subjective judgment.
Option C: Sample is a subset of the population that is selected for study. It is not a sampling method.
Option D: Non probability sampling relies on the subjective judgment of the researcher to select participants, fitting the description in the question.

5. Non-probability sampling is used when the universe is known .....

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

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

Difficulty: Moderate

Concept notes: Non-probability sampling is a sampling technique where the probability of selecting each unit in the population is not known or is not equal. This method is often used when the universe is not well-defined or when it is impractical to use probability sampling methods.

Common Mistakes: A common misunderstanding is that non-probability sampling requires a well-defined universe. However, non-probability sampling is often used precisely when the universe is not well-defined or when it is difficult to identify all members of the population.

Explanations: Non-probability sampling is used when the universe is not necessarily known or well-defined. This method is often employed in situations where it is impractical or impossible to use probability sampling techniques. Therefore, the statement that non-probability sampling is used when the universe is known is incorrect.

Option Analysis:

Option A: This option is incorrect because non-probability sampling is not limited to situations where the universe is known. It is often used when the universe is not well-defined or when it is difficult to identify all members of the population.
Option B: This option is correct because non-probability sampling is not restricted to situations where the universe is known. It is often used when the universe is not well-defined or when it is impractical to use probability sampling methods.

6. Identify the sampling design:Joana asks her roommate what her favorite TV show is

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

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

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 mistake is to confuse convenience sampling with other types of non-probability sampling, such as stratified or cluster sampling, which involve more structured selection methods.

Explanations: Joana asks her roommate what her favorite TV show is. This is an example of convenience sampling because Joana is using a readily available and convenient source (her roommate) to gather information. The selection is not based on any structured or random method, but rather on the ease of access to the roommate.

Option Analysis:

Option A: Cluster sampling involves dividing the population into clusters and then randomly selecting entire clusters for the sample. This is not applicable here as Joana is not using any clusters.
Option B: Unbiased sampling typically refers to probability sampling methods where every member of the population has an equal chance of being selected. This is not the case here as Joana is not using a random selection process.
Option C: Stratified sampling involves dividing the population into subgroups (strata) and then randomly selecting from each subgroup. This is not applicable here as Joana is not using any stratification.
Option D: Convenience sampling involves selecting participants based on their availability and ease of access. This is the correct choice as Joana is asking her roommate, who is readily available.

7. A non-probability sampling technique in which the sample members are chosen only on the basis of the researcher's knowledge and judgment is called:

Correct Answer: Correct answer is: (C) Judgemental Sampling.

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

Difficulty: Moderate

Concept notes: Judgemental sampling, also known as purposive sampling, is a non-probability sampling technique where the researcher selects the sample based on their knowledge and judgment. The researcher chooses the sample members who they believe are most suitable for the study.

Common Mistakes: A common misunderstanding is confusing judgemental sampling with other non-probability sampling methods like accidental or quota sampling, which have different selection criteria.

Explanations: Judgemental sampling is based on the researcher's expertise and subjective criteria. The researcher selects participants who they believe are most appropriate for the study, making it a non-probability method. This method relies heavily on the researcher's judgment and knowledge, which is why it is called judgemental sampling.

Option Analysis:

Option A: Accidental Sampling involves selecting individuals who are conveniently available, not based on the researcher's judgment.
Option B: Quota Sampling involves selecting individuals to meet specific quotas, not based on the researcher's judgment.
Option C: Judgemental Sampling involves selecting individuals based on the researcher's knowledge and judgment.
Option D: Random Sampling involves selecting individuals randomly, which is a probability sampling method, not a non-probability method.

Mnemonic: JUDGE: Judgemental sampling relies on the researcher's JUDGMENT.

8. A non-probability sampling method where units are selected for inclusion in the sample because they are the easiest for the researcher to access .....

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

Exam Relevance: AP Statistics, GRE, MCAT, GMAT

Difficulty: Easy

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

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

Explanations: Convenient sampling involves selecting units that are easiest for the researcher to access. This method is often used when the researcher needs quick and easy data collection, and it does not require a predefined sampling frame. The selection is based on convenience rather than random selection, making it a non-probability sampling method.

Option Analysis:

Option A: Correct. Convenient sampling is the method where units are selected based on their ease of access.
Option B: Incorrect. Snowball sampling involves recruiting participants through referrals from initial subjects, not based on ease of access.
Option C: Incorrect. Accidental sampling is similar to convenient sampling but often refers to selecting participants who happen to be available at the time of the study.
Option D: Incorrect. Quota sampling involves selecting participants to meet specific quotas based on certain characteristics, not based on ease of access.

9. Judgmental sampling relies on:

Correct Answer: Correct answer is: (C) Researcher's knowledge and gauge.

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

Difficulty: Moderate

Concept notes: Judgmental sampling, also known as purposive sampling, is a non-probability sampling technique where the researcher selects the sample based on their judgment and expertise.

Common Mistakes: A common misunderstanding is that judgmental sampling involves random selection or statistical formulas, which is incorrect. It relies on the researcher's expertise and judgment.

Explanations: Judgmental sampling is a non-probability sampling method where the researcher uses their knowledge and expertise to select the sample. This method is based on the researcher's judgment and understanding of the population, rather than on statistical formulas, chance, or random number tables.

Option Analysis:

Option A: Statistical formulas are not used in judgmental sampling. This method relies on the researcher's expertise rather than statistical calculations.
Option B: Chance is not a factor in judgmental sampling. The selection is based on the researcher's judgment, not on random chance.
Option C: This is the correct answer. Judgmental sampling relies on the researcher's knowledge and expertise to select the sample.
Option D: Random number tables are not used in judgmental sampling. This method is based on the researcher's judgment, not on random selection.

10. What kind of sample technique is the following:Question everyone who sits in your row.

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

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

Difficulty: Easy

Concept notes: Convenience sampling involves selecting individuals who are easiest to reach or most readily available.

Common Mistakes: A common mistake is confusing convenience sampling with other sampling methods like simple random sampling, which requires a more structured approach.

Explanations: The technique of questioning everyone who sits in your row is an example of convenience sampling because it involves selecting individuals who are readily available and easy to access. This method does not require a random selection process or a systematic approach, making it a form of non-probability sampling.

Option Analysis:

Option A: Correct. Convenience sampling involves selecting individuals who are easiest to reach or most readily available.
Option B: Incorrect. Simple random sampling requires each individual in the population to have an equal chance of being selected, which is not the case here.
Option C: Incorrect. Systematic sampling involves selecting individuals at regular intervals from a list, which is not the case here.
Option D: Incorrect. This is not a specific sampling technique but a general term for a subset of a population.

Frequently Asked Questions

What is non-probability sampling?

Non-probability sampling is a sampling technique where the samples are selected based on the researcher's judgment or convenience, rather than random selection.

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

Convenience sampling involves selecting participants who are readily available and easy to access, whereas other non-probability methods like purposive or judgmental sampling rely more on specific criteria or the researcher's expertise.

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

The main advantage of non-probability sampling is its ease of use and cost-effectiveness, as it does not require a defined universe or random selection process.

Can non-probability sampling be used in qualitative research?

Yes, non-probability sampling is often used in qualitative research to select participants who meet specific criteria or have particular experiences relevant to the study.

What are some common types of non-probability sampling?

Common types of non-probability sampling include convenience sampling, judgmental sampling, and purposive sampling, each with its own specific criteria for selecting participants.

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