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Non Probability Sampling Quiz 14 (10 MCQs)

This set of multiple-choice questions evaluates understanding of probability and non-probability sampling techniques, including cluster sampling, convenience sampling, quota sampling, and snowball sampling. It assesses the ability to recognize and apply these methods in participant recruitment, particularly for hidden populations and ease of access.

Quiz Instructions

Select an option to see the correct answer instantly.

1. A sampling approach in which participants are intentionally selected by the researches to fulfill the needs of the study is known as:

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

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 that are relevant to the research objectives.

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

Explanations: Purposive sampling involves intentionally selecting participants who meet certain predefined criteria that are pertinent to the study. This method is used when the researcher has a clear idea of the characteristics needed in the sample to address the research questions effectively.

Option Analysis:

Option A: Convenient sampling involves selecting participants based on their availability and ease of access, not on specific criteria.
Option B: Purposive sampling involves selecting participants based on specific criteria relevant to the research objectives.
Option C: Strata refers to dividing a population into subgroups for stratified sampling, which is a probability sampling method.
Option D: This option is incorrect as the correct answer is provided in the other options.

Mnemonic: Purposive = Purposeful selection

2. The school librarian wants to determine how many students use the library on a regular basis. What type of sampling method would she use if she stands in the hall and selects the first 20 students to walk by.

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

Exam Relevance: AP Statistics, IB 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. This method is often used when it is difficult or impractical to use more rigorous sampling methods.

Common Mistakes: A common misunderstanding is that a convenience sample is a random sample. However, a convenience sample is not random because it is based on convenience rather than a systematic or random selection process.

Explanations: The librarian is using a convenience sample because she is selecting the first 20 students who walk by. This method is based on convenience and availability, not on a random or systematic selection process. Therefore, it fits the definition of a convenience sample.

Option Analysis:

Option A: Correct. The librarian is using a convenience sample by selecting the first 20 students who walk by.
Option B: Incorrect. A simple random sample requires each individual to have an equal chance of being selected, which is not the case here.
Option C: Incorrect. A stratified random sample involves dividing the population into subgroups and then randomly selecting from each subgroup, which is not what the librarian is doing.
Option D: Incorrect. A cluster sample involves dividing the population into clusters and then randomly selecting entire clusters, which is not what the librarian is doing.

3. Which of the following is not a sampling technique for non-probability sampling?

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

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

Difficulty: Moderate

Concept notes: Cluster sampling is a probability sampling technique, not a non-probability sampling technique.

Common Mistakes: A common misunderstanding is that cluster sampling is a non-probability sampling method, when in fact it is a probability sampling method.

Explanations: Cluster sampling involves dividing the population into clusters and then randomly selecting entire clusters for the sample. This method relies on random selection, which is a characteristic of probability sampling. Non-probability sampling techniques, such as chain sampling, consecutive sampling, and quota sampling, do not rely on random selection and are based on subjective or non-random criteria.

Option Analysis:

Option A: Chain Sampling is a non-probability sampling technique where participants are selected based on referrals from initial subjects.
Option B: Consecutive Sampling is a non-probability sampling technique where every available subject is selected until the desired sample size is reached.
Option C: Cluster Sampling is a probability sampling technique where the population is divided into clusters and entire clusters are randomly selected.
Option D: Quota Sampling is a non-probability sampling technique where the researcher ensures that certain characteristics are represented in the sample according to predetermined quotas.

4. What kind of sample technique is the following:A statistics student surveys everyone in the cafeteria.

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

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

Difficulty: Easy

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

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

Explanations: The statistics student surveys everyone in the cafeteria, which is an example of convenience sampling. This method is chosen because it is easy and convenient to survey people who are readily available in the cafeteria, without any specific selection criteria or randomization.

Option Analysis:

Option A: Correct. The sample is based on convenience and ease of access.
Option B: Incorrect. Simple random sampling requires every individual 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 described in the scenario.
Option D: Incorrect. This is too vague and does not specify the type of sampling technique used.

5. Which of the following sampling methods is not based on probability? [2013-JUNE]

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

Exam Relevance: AP Statistics, GRE, GMAT, MCAT, DAT

Difficulty: Moderate

Concept notes: Quota sampling is a non-probability sampling method where the researcher selects participants based on predefined quotas. This method does not rely on random selection, making it distinct from probability sampling methods.

Common Mistakes: A common misunderstanding is that quota sampling is a form of probability sampling because it involves setting quotas. However, the selection process within each quota is not random, which distinguishes it from probability sampling methods.

Explanations: Quota sampling is a non-probability sampling method because it does not use random selection. Instead, the researcher sets quotas for certain characteristics and then selects participants who meet those quotas. This method relies on the researcher's judgment and convenience, rather than a random process, to ensure that the sample reflects the population in terms of the specified characteristics.

Option Analysis:

Option A: Simple Random Sampling is a probability sampling method where each member of the population has an equal chance of being selected. This method relies on random selection, making it a probability sampling method.
Option B: Stratified Sampling is a probability sampling method where the population is divided into strata, and random samples are taken from each stratum. This method also relies on random selection, making it a probability sampling method.
Option C: Quota Sampling is a non-probability sampling method where the researcher selects participants based on predefined quotas. This method does not rely on random selection, making it a non-probability sampling method.
Option D: Cluster Sampling is a probability sampling method where the population is divided into clusters, and random clusters are selected. This method relies on random selection, making it a probability sampling method.

6. Groups are selected based on their easy access and proximity to the researcher. Which sampling method is this describing?

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

Exam Relevance: AP Statistics, GRE, MCAT, GMAT

Difficulty: Easy

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

Common Mistakes: A common misunderstanding is confusing convenience sampling with other non-probability sampling methods, such as stratified sampling, which involves dividing the population into subgroups and then sampling from each subgroup.

Explanations: Convenience sampling is a non-probability sampling method where participants are selected based on their easy access and proximity to the researcher. This method is often used when it is difficult or impractical to use more rigorous sampling techniques. The key characteristic of convenience sampling is that it relies on the ease of reaching participants, making it a quick and simple method for data collection.

Option Analysis:

Option A: Friend sample is not a standard term in sampling methods and does not describe the selection based on easy access and proximity.
Option B: Cluster sampling involves dividing the population into clusters and then randomly selecting entire clusters for study, which is different from selecting based on proximity.
Option C: Convenience sampling involves selecting participants based on their easy access and proximity to the researcher, which matches the description given in the question.
Option D: Stratified sampling involves dividing the population into subgroups and then sampling from each subgroup, which is not based on proximity or ease of access.

7. Which of the following is not an example of a nonrandom sampling technique?

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

Exam Relevance: AP Statistics, GRE, GMAT, MCAT

Difficulty: Moderate

Concept notes: Nonrandom sampling techniques include purposive, quota, and convenience sampling. Cluster sampling, however, is a probability sampling technique.

Common Mistakes: A common misunderstanding is that cluster sampling is a nonrandom sampling technique. However, cluster sampling involves randomly selecting clusters from a population, making it a probability sampling method.

Explanations: Cluster sampling is a probability sampling technique where the population is divided into clusters, and then clusters are randomly selected. This differs from nonrandom sampling techniques such as purposive, quota, and convenience sampling, which do not rely on random selection.

Option Analysis:

Option A: Purposive sampling is a nonrandom sampling technique where participants are selected based on specific criteria.
Option B: Quota sampling is a nonrandom sampling technique where participants are selected to meet certain quotas.
Option C: Convenience sampling is a nonrandom sampling technique where participants are selected based on their availability and ease of access.
Option D: Cluster sampling is a probability sampling technique where the population is divided into clusters and clusters are randomly selected.

8. Which type of sampling is used when a researcher selects the sample by a chain referral from the key samples that have his/her own experience with the required matter of the research?

Correct Answer: Correct answer is: (A) 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 that snowball sampling is a random process, but it is not. It relies on referrals and is often used when the population is hard to reach.

Explanations: Snowball sampling is used when the population is difficult to access, and the researcher relies on referrals from initial participants. This method is particularly useful when studying hidden or hard-to-reach populations. The initial participants, known as key samples, refer other members of the population, creating a chain of referrals. This process continues until the desired sample size is reached.

Option Analysis:

Option A: Correct. Snowball sampling is the appropriate method when the sample is selected through referrals from key samples.
Option B: Incorrect. Quota sampling involves selecting a predetermined number of individuals from specific subgroups, not through referrals.
Option C: Incorrect. Cluster sampling involves dividing the population into clusters and randomly selecting entire clusters, not through referrals.
Option D: Incorrect. Simple random sampling involves selecting individuals randomly from the entire population, not through referrals.
Option E: Incorrect. This option indicates a lack of awareness of the sampling methods.

9. Snowballing is .....

Correct Answer: Correct answer is: (C) Surveys or interviews carried out with individuals, who then suggest other friends, family or colleagues to increase the sample.

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 snowball sampling is a form of primary research that builds on secondary research, which is incorrect. Snowball sampling is a method of gathering participants for a study, not a form of research itself.

Explanations: Snowball sampling is a non-probability sampling technique where initial participants are selected and then asked to recruit others from their social networks. This method is particularly useful when the population of interest is difficult to access, such as in studies involving rare conditions or hidden populations. The process continues in a chain-like manner, expanding the sample size through referrals.

Option Analysis:

Option A: This option incorrectly describes snowball sampling as primary research building on secondary research, which is not accurate. Snowball sampling is a method of participant recruitment.
Option B: This option incorrectly describes snowball sampling as secondary research stemming from primary research, which is not accurate. Snowball sampling is a method of participant recruitment.
Option C: This option correctly describes snowball sampling as surveys or interviews where participants recruit others from their social networks, which is the accurate definition of snowball sampling.
Option D: This option incorrectly describes snowball sampling as secondary information that mounts quickly due to the vast amount of information available, which is not accurate. Snowball sampling is a method of participant recruitment.

10. This sampling technique happens when a small number of participants are invited and asked to invite other people they know who also are of interest for the purposes of the research.

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 confusing snowball sampling with other non-probability sampling methods, such as convenience sampling, which relies on readily available subjects rather than referrals.

Explanations: Snowball sampling is appropriate when the population of interest is hard to reach or rare. The initial participants are invited to recruit others they know who also fit the research criteria. This method is particularly useful in studies involving hidden or hard-to-reach populations.

Option Analysis:

Option A: Purposive sampling involves selecting participants based on specific characteristics or qualities relevant to the research. It does not involve referrals from initial participants.
Option B: Theoretical sampling is used in qualitative research, particularly in grounded theory, where data collection and analysis are iterative and new samples are selected based on emerging theory. It does not involve referrals from initial participants.
Option C: Snowball sampling is the correct answer because it involves initial participants recruiting others they know, fitting the description given in the question.
Option D: Convenience sampling involves selecting participants who are readily available and easy to access, without referrals from initial participants.

Frequently Asked Questions

What is non-probability sampling?

Non-probability sampling is a sampling technique where the samples are selected based on factors other than random selection, such as convenience or specific criteria.

How does non-probability sampling differ from probability sampling?

Probability sampling involves random selection, ensuring each member of the population has an equal chance of being included. Non-probability sampling does not use random selection, which can lead to biases in the sample.

What are some common types of non-probability sampling?

Common types include convenience sampling, purposive sampling, quota sampling, and snowball sampling, each designed to meet specific research needs or criteria.

Why might a researcher choose non-probability sampling?

Researchers may choose non-probability sampling when it is easier, quicker, or more cost-effective to access participants, or when studying hard-to-reach populations.

What are the limitations of non-probability sampling?

Non-probability sampling can lead to biased results and may not accurately represent the entire population, limiting the generalizability of the findings.

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