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Non Probability Sampling Quiz 23 (10 MCQs)

This set of multiple-choice questions evaluates understanding of non-probability sampling techniques, including convenience sampling, purposive sampling, and snowball sampling. It assesses the ability to recognize and apply these methods in qualitative research and survey design, focusing on concepts like ease of access, participant recruitment, and hidden populations.

Quiz Instructions

Select an option to see the correct answer instantly.

1. Accidental Sampling, Quota Sampling and Purposive Sampling are types of

Correct Answer: Correct answer is: (C) Non probability.

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

Difficulty: Moderate

Concept notes: Non probability sampling involves selecting samples based on non-random criteria. This includes methods like accidental sampling, quota sampling, and purposive sampling.

Common Mistakes: A common misunderstanding is that these methods are random, but they are not. Random selection is a key feature of probability sampling, which is not present in non probability sampling.

Explanations: Accidental sampling, quota sampling, and purposive sampling are all types of non probability sampling. In accidental sampling, participants are selected based on convenience or happenstance. In quota sampling, participants are chosen to meet specific quotas, often based on demographic characteristics. In purposive sampling, participants are selected based on specific criteria relevant to the study. None of these methods involve random selection, which is why they fall under the category of non probability sampling.

Option Analysis:

Option A: Stratified Random is a type of probability sampling where the population is divided into strata and random samples are taken from each stratum. This does not apply to the given sampling methods.
Option B: Simple Random is a type of probability sampling where each member of the population has an equal chance of being selected. This does not apply to the given sampling methods.
Option C: Non probability is the correct answer as it includes methods like accidental sampling, quota sampling, and purposive sampling, which do not involve random selection.
Option D: Probability is a type of sampling where each member of the population has a known, non-zero chance of being selected. This does not apply to the given sampling methods.

2. A magazine conducts a survey and asks its readers to cut the questionnaire from the magazine, fill it and send it via mail. It is a type of

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

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

Difficulty: Moderate

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

Common Mistakes: A common misunderstanding is that convenience sampling is a random sampling method. However, it is not random and can introduce significant bias into the results.

Explanations: The survey described in the question involves readers cutting out a questionnaire from a magazine, filling it out, and sending it via mail. This method relies on the readers' willingness and convenience to participate, which aligns with the definition of convenience sampling. The participants are not randomly selected, and the sample is based on the ease of access to the magazine readers.

Option Analysis:

Option A: Purposive sampling involves selecting participants based on specific characteristics or criteria, which is not the case here. The survey does not target specific characteristics of the readers.
Option B: Snowball sampling involves recruiting participants through referrals from initial participants, which is not the case here. The survey does not rely on referrals.
Option C: Sequential sampling involves selecting participants in a sequence until a certain criterion is met, which is not the case here. The survey does not follow a sequential selection process.
Option D: Convenience sampling involves selecting participants based on their availability and ease of access, which matches the described method of the survey.

3. A technique of Building up a list or a sample of a special population by using an initial set of members as informants is called

Correct Answer: Correct answer is: (C) Snow ball Sampling.

Exam Relevance: Research Methods, Statistics, Social Science Research, Psychology Exams

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 convenience sampling, which involves selecting individuals who are easiest to reach.

Explanations: Snowball sampling is particularly useful when the population of interest is hard to reach or hidden. It starts with a small number of initial subjects and then relies on them to recruit others from their network. This method is effective in building a sample of a special population that is not easily accessible through other sampling methods.

Option Analysis:

Option A: Quota sampling involves selecting a sample to reflect certain characteristics of the population, but it does not involve the recruitment of additional subjects by initial participants.
Option B: Convenience sampling involves selecting individuals who are easiest to reach, which is different from the referral-based approach of snowball sampling.
Option C: Snowball sampling is the correct answer as it involves using initial subjects to recruit additional subjects from their network.
Option D: Purposive sampling involves selecting subjects based on specific criteria, but it does not involve the referral-based recruitment process of snowball sampling.

4. It is a type of non-probability sampling done in a way that whoever you saw first or came to volunteer first is considered as a respondent.

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

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

Difficulty: Easy

Concept notes: Convenience sampling is a non-probability sampling technique where the sample is selected based on convenience or ease of access. It involves choosing individuals who are readily available or easy to reach.

Common Mistakes: A common misunderstanding is that convenience sampling is a form of random sampling. However, it is not random and can introduce significant bias.

Explanations: Convenience sampling is the correct answer because it involves selecting the first individuals who are available or who volunteer, which aligns with the description given in the question. This method is often used when it is impractical or too costly to use more rigorous sampling techniques.

Option Analysis:

Option A: Simple random sampling involves selecting individuals completely at random, which is not the case here.
Option B: Stratified random sampling involves dividing the population into subgroups and then randomly selecting from each subgroup, which is not described in the question.
Option C: Convenience sampling involves selecting individuals based on their availability, which matches the description in the question.
Option D: None of the above is incorrect because convenience sampling is a valid non-probability sampling method.

5. A statistics student obtains height/weight data by interviewing family members.

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

Exam Relevance: AP Statistics, GRE, GMAT

Difficulty: Easy

Concept notes: Convenience sampling involves selecting individuals who are easiest to reach or most readily available. This method is often used when the researcher has limited time or resources.

Common Mistakes: A common misunderstanding is to confuse convenience sampling with other non-probability sampling methods, such as cluster or stratified sampling, which involve more structured selection processes.

Explanations: The student interviewed family members, which are readily available and easy to reach. This aligns with the definition of convenience sampling, where the sample is chosen based on ease of access rather than a structured or random selection process.

Option Analysis:

Option A: Cluster sampling involves dividing the population into clusters and randomly selecting entire clusters. This is not applicable here as the student did not use a structured method to select clusters.
Option B: Convenience sampling involves selecting individuals who are easiest to reach. This matches the scenario where the student interviewed family members.
Option C: Simple random sampling requires each individual in the population to have an equal chance of being selected. This is not the case here as the student did not use a random selection process.
Option D: Stratified sampling involves dividing the population into strata and then randomly selecting individuals from each stratum. This is not applicable here as the student did not use a structured method to divide the population into strata.
Option E: Systematic sampling involves selecting individuals at regular intervals from a list. This is not applicable here as the student did not use a systematic selection process.

6. Interview the first 30 students who enter the school in the morning.

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

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. This method is often used when the researcher needs quick and easy access to participants.

Common Mistakes: A common misunderstanding is to confuse convenience sampling with other types of non-probability sampling, such as systematic sampling, which involves selecting every nth individual from a list.

Explanations: The method described in the question involves interviewing the first 30 students who enter the school in the morning. This approach is a form of convenience sampling because it relies on the ease of access to these students, rather than a more structured or random selection process.

Option Analysis:

Option A: Simple random sampling involves selecting individuals completely at random from the population, which is not the case here.
Option B: Population refers to the entire group of interest, not a sampling method.
Option C: Systematic sampling involves selecting every nth individual from a list, which is not the method used here.
Option D: Convenience sampling involves selecting individuals who are easiest to reach, which matches the described method.

7. In snowball sampling, the sample is collected by:

Correct Answer: Correct answer is: (C) Participants recruiting other participants.

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.

Common Mistakes: A common misunderstanding is that snowball sampling involves random selection or a pre-determined interval, which is incorrect.

Explanations: In snowball sampling, the initial participants are identified through convenience sampling. These participants then recruit other participants from their social networks. This process continues, creating a chain of referrals. This method is particularly useful when studying hard-to-reach populations.

Option Analysis:

Option A: This is incorrect because snowball sampling does not involve random selection from the entire population.
Option B: This is incorrect because snowball sampling does not use a pre-determined interval.
Option C: This is correct because participants recruit other participants in snowball sampling.
Option D: This is incorrect because option C is the correct answer.

8. This is a non probability sample selected from members of the population that are easy to access for research. Example family, friends

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

Exam Relevance: AP Statistics, GRE, MCAT, GMAT

Difficulty: Easy

Concept notes: A convenience sample 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 a convenience sample is a random sample, but it is not. Random samples require each member of the population to have an equal chance of being selected, which is not the case in convenience sampling.

Explanations: A convenience sample is selected based on the ease of access to the participants. For example, using family and friends for a study is a common method of convenience sampling. This method does not ensure that the sample is representative of the entire population, but it is often used due to its simplicity and cost-effectiveness.

Option Analysis:

Option A: Correct. A convenience sample is selected based on the ease of access to the participants, such as family and friends.
Option B: Incorrect. A random sample requires each member of the population to have an equal chance of being selected, which is not the case in convenience sampling.
Option C: Incorrect. A probability sample involves random selection, ensuring each member of the population has an equal chance of being included, which is not true for convenience sampling.
Option D: Incorrect. "Data Sample" is not a specific type of sampling method and does not describe the concept of selecting participants based on ease of access.

9. Participants are sampled according to what is conveniently available.

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

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

Difficulty: Easy

Concept notes: Accidental sampling, also known as convenience sampling, involves selecting participants based on their availability and ease of access.

Common Mistakes: A common misunderstanding is confusing accidental sampling with other non-probability sampling methods like cluster sampling, which involves dividing the population into clusters and randomly selecting entire clusters.

Explanations: Participants are sampled according to what is conveniently available, which aligns with the definition of accidental sampling. This method is often used when it is impractical or too costly to use more rigorous sampling techniques.

Option Analysis:

Option A: Accidental Sampling is correct because it involves selecting participants based on their availability and ease of access.
Option B: Modal instance sampling involves selecting the most typical or representative cases, which does not match the description of sampling based on availability.
Option C: Cluster Sampling involves dividing the population into clusters and randomly selecting entire clusters, which is not based on convenience or availability.
Option D: None of the above is incorrect because Accidental Sampling is a valid method that fits the description.

10. In qualitative research, what technique is used to select participants who are knowledgeable about the research topic?

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

Exam Relevance: Qualitative Research Methods, Social Science Research, Psychology Research Methods

Difficulty: Moderate

Concept notes: Purposive sampling is a non-probability sampling technique used in qualitative research to select participants who are knowledgeable or have specific characteristics relevant to the research topic.

Common Mistakes: A common misunderstanding is that simple random sampling or convenience sampling might be used to select knowledgeable participants, but these methods do not specifically target individuals with relevant expertise.

Explanations: Purposive sampling is the correct choice because it involves selecting participants based on specific criteria that make them suitable for the research. This technique is particularly useful in qualitative research where the goal is to gain in-depth insights from individuals who have particular knowledge or experiences related to the topic.

Option Analysis:

Option A: Purposive sampling is the correct choice as it involves selecting participants based on specific criteria that make them suitable for the research.
Option B: Simple random sampling is not suitable because it does not target knowledgeable participants; it selects participants randomly without considering their expertise.
Option C: Cluster sampling is not appropriate because it involves dividing the population into clusters and randomly selecting entire clusters, which does not ensure that the selected participants are knowledgeable about the topic.
Option D: Convenience sampling is not appropriate because it involves selecting participants based on their availability and ease of access, rather than their expertise or knowledge about the topic.

Mnemonic: Purposive = Purposeful selection

Frequently Asked Questions

What is non-probability sampling?

Non-probability sampling is a sampling technique where the probability of selecting each participant is unknown or not equal. It is often used in qualitative research and when the population is difficult to access.

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

Purposive sampling involves selecting participants based on specific characteristics or qualities relevant to the research question. Unlike other non-probability methods, it requires a clear rationale for participant selection.

What is the main advantage of convenience sampling?

The main advantage of convenience sampling is its ease of use and speed. Researchers can quickly recruit participants who are readily available, making it a practical choice for preliminary studies or when resources are limited.

How is snowball sampling used in research?

Snowball sampling is used when the population is hard to reach. It starts with a few initial participants who then recruit others from their social networks, expanding the sample size and allowing access to hidden or rare populations.

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

Quota sampling involves selecting participants to meet specific quotas based on certain characteristics. It ensures that the sample reflects certain proportions of the population, making it useful for targeted research.

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