🏠 Homepage 📘 Download PDF Books 📕 Premium PDF Books

Non Probability Sampling Quiz 20 (10 MCQs)

This set of multiple-choice questions evaluates understanding of non-probability sampling techniques, including consecutive sampling, quota sampling, and snowball sampling. It assesses the ability to identify sampling methods, understand hidden populations, and recognize selection bias and self-selection bias.

Quiz Instructions

Select an option to see the correct answer instantly.

1. Using a respondent to find another respondent in a survey is named as

Correct Answer: Correct answer is: (B) Snowball Sampling.

Exam Relevance: AP Statistics, GRE, MCAT, 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 confusing snowball sampling with other non-probability sampling methods, such as purposive or convenience sampling, which do not involve the use of existing respondents to find new ones.

Explanations: Snowball sampling is specifically designed to reach populations that are difficult to access, such as hidden or hard-to-reach groups. In this method, initial respondents are identified and then asked to recruit others from their social networks. This process continues, creating a chain of referrals, much like a snowball rolling down a hill and gathering more snow. This method is particularly useful when the population of interest is not easily accessible through traditional sampling methods.

Option Analysis:

Option A: Purposive Sampling involves selecting participants based on specific characteristics or qualities, not through referrals from existing respondents.
Option B: Snowball Sampling involves using existing respondents to find new respondents, fitting the description in the question.
Option C: Quota Sampling involves selecting participants to meet certain quotas or proportions, not through referrals.
Option D: Convenient Sampling involves selecting participants based on their availability and ease of access, not through referrals.

Mnemonic: Snowball Sampling: "Snowball rolls, gathering more snow, just like respondents gather more respondents."

2. Non-probability sampling includes:

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

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

Difficulty: Easy

Concept notes: Non-probability sampling involves selecting samples based on non-random criteria. 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 stratified sampling and multistage sampling are types of non-probability sampling. However, these are actually types of probability sampling.

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 random selection, making it a form of non-probability sampling.

Option Analysis:

Option A: Stratified sampling is a probability sampling method where the population is divided into subgroups (strata) and samples are randomly selected from each stratum. This is not a non-probability sampling method.
Option B: Convenience sampling is a non-probability sampling method where participants are selected based on their availability and ease of access. This is the correct answer.
Option C: Multistage sampling is a probability sampling method where the population is divided into stages, and samples are randomly selected at each stage. This is not a non-probability sampling method.
Option D: This option is incorrect as convenience sampling is a valid non-probability sampling method.

3. Dr. Mirshah sends out a tweet asking students to vote for their favorite type of Thanksgiving pie. This sampling method is called

Correct Answer: Correct answer is: (D) Voluntary response.

Exam Relevance: AP Statistics, GRE, GMAT

Difficulty: Moderate

Concept notes: Voluntary response sampling occurs when individuals self-select to participate in a survey or poll. This method is prone to bias because the respondents are not randomly chosen and may not represent the entire population.

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

Explanations: Dr. Mirshah's tweet asking students to vote for their favorite type of Thanksgiving pie is an example of voluntary response sampling. In this method, only those students who choose to respond are included in the sample, which can lead to a biased representation of the population's preferences.

Option Analysis:

Option A: Convenience sampling involves selecting individuals who are easiest to reach, but the tweet does not imply that only a subset of easily accessible students were chosen.
Option B: This is not a statistical term and does not describe the sampling method used.
Option C: Random sampling requires every individual in the population to have an equal chance of being selected, which is not the case here.
Option D: Voluntary response sampling is the correct term because students self-select to participate in the poll.

Mnemonic: VRS: Voluntary Response Sampling

4. A sampling that involves sampling by convenience, but within specified subgroups of the population, to enhance representativeness, is:

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

Exam Relevance: AP Statistics, GRE, GMAT, Psychology exams

Difficulty: Moderate

Concept notes: Quota sampling is a non-probability sampling technique where the population is divided into subgroups, and a specific number of individuals are sampled from each subgroup based on convenience.

Common Mistakes: A common misunderstanding is that quota sampling is a form of random sampling. However, quota sampling relies on convenience within specified subgroups, not random selection.

Explanations: Quota sampling involves dividing the population into subgroups and then sampling individuals from each subgroup based on convenience. This method enhances representativeness by ensuring that specific subgroups are included in the sample, even though the selection within each subgroup is not random.

Option Analysis:

Option A: Quota sampling is the correct answer because it involves sampling by convenience within specified subgroups to enhance representativeness.
Option B: Consecutive sampling involves selecting every nth individual from a list or sequence, which does not necessarily involve subgroups.
Option C: Random sampling involves selecting individuals randomly from the entire population, which does not involve convenience sampling within subgroups.
Option D: This option is incorrect as quota sampling is the correct answer.

Mnemonic: Quota: Quick, Convenient, Subgroups

5. Which situation illustrates selection bias in nonprobability sampling?

Correct Answer: Correct answer is: (C) Only frequent gym users respond to a locker-room survey.

Exam Relevance: AP Statistics, GRE, GMAT, MCAT

Difficulty: Moderate

Concept notes: Selection bias in nonprobability sampling occurs when the sample is not representative of the population due to the way participants are selected. In this case, the sample is biased towards frequent gym users, who may not be representative of the general population.

Common Mistakes: A common misunderstanding is that nonprobability sampling methods are always unbiased. However, nonprobability sampling can introduce selection bias if the sample is not representative of the population.

Explanations: Selection bias occurs when the sample is not representative of the population. In the context of nonprobability sampling, this can happen if the sample is drawn from a specific subgroup that does not reflect the broader population. In this case, the survey is conducted in a gym locker room, which only frequent gym users are likely to respond to. This subgroup is not representative of the general population, leading to selection bias.

Option Analysis:

Option A: A double-blind experiment reduces interviewer effects, which is a method to control bias in probability sampling, not an example of selection bias in nonprobability sampling.
Option B: A random phone dialer reaching rural households evenly is an example of probability sampling, not nonprobability sampling, and does not illustrate selection bias.
Option C: Only frequent gym users responding to a locker-room survey is an example of selection bias in nonprobability sampling, as the sample is not representative of the general population.
Option D: A stratified design balancing age and income groups is a method used in probability sampling to ensure representation, not an example of selection bias in nonprobability sampling.

Mnemonic: Gym Bias: Gym users only, not general.

6. People are more likely to participate if they have already volunteered so the drop-out rate should be lower, making generalizations potentially stronger.

Correct Answer: Correct answer is: (C) Strength of Volunteer Sampling Technique.

Exam Relevance: AP Statistics, GRE, MCAT

Difficulty: Moderate

Concept notes: Volunteer sampling is a non-probability sampling technique where participants self-select to be part of the study. This method often results in a sample that is more motivated and committed, which can lead to lower drop-out rates and potentially stronger generalizations.

Common Mistakes: A common misunderstanding is that volunteer sampling is as reliable as random sampling. However, volunteer sampling can introduce bias because the sample may not be representative of the entire population.

Explanations: Volunteer sampling often involves individuals who are already inclined to participate, such as those who have previously volunteered. This pre-existing motivation can lead to a higher level of commitment and lower drop-out rates. As a result, the data collected from volunteer sampling can be more consistent and potentially more reliable for making generalizations, despite the inherent biases.

Option Analysis:

Option A: Opportunity sampling involves selecting individuals who are conveniently available, which does not necessarily imply a lower drop-out rate or stronger generalizations.
Option B: Random sampling is a probability sampling technique, not a non-probability technique, and does not align with the context of the question.
Option C: Volunteer sampling is a non-probability technique where participants self-select, often leading to lower drop-out rates and potentially stronger generalizations.
Option D: This option is incorrect as the correct answer is explicitly stated as the strength of volunteer sampling.

7. What is the best sampling method for a study on the unique experiences of female CEOs?

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

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

Difficulty: Moderate

Concept notes: Purposive sampling is a non-probability sampling method where the researcher selects participants based on specific criteria relevant to the study. This method is particularly useful when the study focuses on a specific group with unique characteristics.

Common Mistakes: A common misunderstanding is that random sampling is the best method for all studies. However, for studies focusing on specific, unique groups, purposive sampling is more appropriate.

Explanations: Purposive sampling is the best method for a study on the unique experiences of female CEOs because it allows the researcher to select participants who meet specific criteria, such as being female and holding a CEO position. This ensures that the sample is representative of the specific group of interest, providing in-depth insights into their unique experiences.

Option Analysis:

Option A: Purposive sampling is appropriate because it allows the researcher to select participants based on specific criteria, such as being female CEOs.
Option B: Random sampling is not suitable because it does not ensure that the sample includes only female CEOs.
Option C: Snowball sampling relies on referrals from initial participants, which may not provide a representative sample of female CEOs.
Option D: Quota sampling involves selecting participants to meet certain quotas, but it does not ensure that the sample is based on specific criteria relevant to the study.

8. A domestic violence study includes every eligible case reported to a counselling centre during a specific period. What sampling approach is used?

Correct Answer: Correct answer is: (A) Consecutive sampling across the reporting window.

Exam Relevance: GRE, GMAT, Psychology exams, Sociology exams

Difficulty: Moderate

Concept notes: Consecutive sampling involves selecting every case that meets the criteria during a specific period. This method is a type of non-probability sampling where the sample is chosen based on convenience and accessibility.

Common Mistakes: A common misunderstanding is confusing consecutive sampling with simple random sampling, where every case has an equal chance of being selected. In consecutive sampling, the selection is based on the order of occurrence within the reporting window.

Explanations: The study includes every eligible case reported to a counselling centre during a specific period. This approach aligns with consecutive sampling, as it involves selecting all cases that meet the criteria in the order they are reported. This method is non-probability sampling because it does not involve random selection.

Option Analysis:

Option A: Correct. Consecutive sampling involves selecting every case that meets the criteria during a specific period, which matches the description of the study.
Option B: Incorrect. Quota sampling involves selecting a predetermined number of cases based on specific characteristics, which is not described in the study.
Option C: Incorrect. Convenience sampling involves selecting cases based on ease of access, which does not align with the systematic inclusion of all reported cases.
Option D: Incorrect. Simple random sampling involves selecting cases randomly, which is not the method used in this study.

9. A quantitative sampling technique where participants are selected based on naturally occurring groups or participants who are easily available.

Correct Answer: Correct answer is: (D) Opportunity (convenience) sampling.

Exam Relevance: AP Statistics, GRE, MCAT, GMAT

Difficulty: Moderate

Concept notes: Opportunity (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 confusing opportunity sampling with stratified random sampling, which involves dividing the population into strata and then randomly selecting participants from each stratum.

Explanations: Opportunity (convenience) sampling is a non-probability sampling method where participants are chosen 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. The key characteristic is that participants are selected based on convenience, not on a random or systematic basis. This aligns with the description provided in the question, where participants are selected based on naturally occurring groups or their availability.

Option Analysis:

Option A: Stratified Random Sampling involves dividing the population into distinct subgroups (strata) and then randomly selecting participants from each stratum. This is a probability sampling method, not a non-probability method.
Option B: Self-selected sampling occurs when participants volunteer to be part of the study. This method relies on the willingness of individuals to participate, which can introduce bias.
Option C: Random sampling involves selecting participants randomly from the entire population, ensuring each individual has an equal chance of being selected. This is a probability sampling method, not a non-probability method.
Option D: Opportunity (convenience) sampling involves selecting participants based on their availability and ease of access, which matches the description in the question.

10. What sampling technique involves participants referring the researcher to others?

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 where existing study subjects recruit future subjects from among their acquaintances.

Common Mistakes: A common misunderstanding is that snowball sampling is a form of random sampling, which it is not. Snowball sampling relies on referrals and is not random.

Explanations: Snowball sampling involves participants referring the researcher to others. This technique is particularly useful when the population of interest is hard to reach or hidden. The process starts with a few initial participants who then recruit others from their network, creating a chain of referrals. This method is non-probability based, meaning that not every member of the population has an equal chance of being selected.

Option Analysis:

Option A: Random Sampling is a probability sampling technique where each member of the population has an equal chance of being selected. This does not involve referrals.
Option B: Convenience Sampling involves selecting participants based on their availability and willingness to participate. This does not involve referrals.
Option C: Snowball Sampling involves participants referring the researcher to others, fitting the description in the question.
Option D: None of the above is incorrect because Snowball Sampling is a valid technique that fits the description.

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. This method is often used when it is difficult to identify or access the entire population.

What is the difference between convenience sampling and purposive sampling?

Convenience sampling involves selecting individuals who are easiest to reach, while purposive sampling involves selecting individuals based on specific characteristics or qualities relevant to the research question.

How does snowball sampling work?

Snowball sampling is a method where existing study subjects recruit future subjects from among their acquaintances. This technique is particularly useful for studying hidden populations that are difficult to access.

What is the main drawback of non-probability sampling?

The main drawback of non-probability sampling is the potential for selection bias, which can limit the generalizability of the findings to the broader population.

What is quota sampling?

Quota sampling involves selecting participants based on predetermined characteristics, ensuring that the sample reflects certain proportions of the population. This method helps to ensure that specific subgroups are represented in the sample.

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