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Non Probability Sampling Quiz 6 (10 MCQs)

This set of multiple-choice questions evaluates understanding of non-probability and probability sampling techniques, including convenience sampling, quota sampling, and purposive sampling. It assesses knowledge of sampling methods, subjective selection criteria, and the ability to apply researcher judgment in selecting samples.

Quiz Instructions

Select an option to see the correct answer instantly.

1. Which of the following does not belong to the category of non probability sample?

Correct Answer: Correct answer is: (B) Multi-stage sample.

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

Difficulty: Moderate

Concept notes: Non-probability sampling involves selecting samples based on non-random criteria. Multi-stage sampling, on the other hand, is a probability sampling technique that involves dividing the population into stages and randomly selecting samples at each stage.

Common Mistakes: A common misunderstanding is that multi-stage sampling is a form of non-probability sampling because it involves multiple stages. However, it is a probability sampling method because it uses random selection at each stage.

Explanations: Multi-stage sampling is a probability sampling technique, not a non-probability sampling technique. In non-probability sampling, the selection of samples is based on non-random criteria such as convenience, judgment, or quota. Multi-stage sampling involves dividing the population into stages and randomly selecting samples at each stage, which makes it a probability sampling method.

Option Analysis:

Option A: Incidental sample is a type of non-probability sampling where the sample is selected based on convenience or happenstance.
Option B: Multi-stage sample is a probability sampling technique, not a non-probability sampling technique.
Option C: Purposive sample is a type of non-probability sampling where the sample is selected based on specific criteria or purpose.
Option D: Quota sample is a type of non-probability sampling where the sample is selected to meet certain quotas or proportions.

2. Compared with probability sampling, purposive sampling primarily:

Correct Answer: Correct answer is: (A) Relies on researcher judgment for inclusion.

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

Difficulty: Moderate

Concept notes: Purposive sampling is a non-probability sampling technique where the researcher selects participants based on specific criteria or characteristics relevant to the study. This method relies heavily on the researcher's judgment to identify and include participants who meet the study's requirements.

Common Mistakes: A common misunderstanding is that purposive sampling is random, similar to probability sampling. However, purposive sampling is not random and is based on the researcher's criteria.

Explanations: Purposive sampling is a non-probability method that depends on the researcher's judgment to select participants who are most suitable for the study. This contrasts with probability sampling, which uses random selection methods to ensure that every member of the population has an equal chance of being included. The reliance on researcher judgment is a defining characteristic of purposive sampling.

Option Analysis:

Option A: Correct. Purposive sampling relies on the researcher's judgment to select participants based on specific criteria.
Option B: Incorrect. Purposive sampling does not use random numbers to draw cases; it is based on non-random selection criteria.
Option C: Incorrect. Purposive sampling does not guarantee unbiased population estimates because it is not a random sampling method.
Option D: Incorrect. Purposive sampling does not inherently prevent overlap in sample selection; it focuses on selecting participants based on specific criteria.

3. Conceptual research typically involves:

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

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

Difficulty: Moderate

Concept notes: Conceptual research often involves qualitative methods and aims to explore complex issues that cannot be easily quantified. Purposive sampling is a non-probability sampling technique where participants are selected based on specific characteristics or criteria relevant to the research question.

Common Mistakes: A common misunderstanding is that conceptual research requires large sample sizes or random sampling, which are more typical of quantitative research.

Explanations: Conceptual research typically involves qualitative methods and aims to explore complex issues that cannot be easily quantified. Purposive sampling is a non-probability sampling technique where participants are selected based on specific characteristics or criteria relevant to the research question. This method is suitable for conceptual research as it allows researchers to select participants who can provide in-depth insights and rich data, rather than relying on large sample sizes or random sampling.

Option Analysis:

Option A: Large sample sizes are more common in quantitative research, not conceptual research.
Option B: Random sampling is a probability sampling technique, not a non-probability sampling technique like purposive sampling.
Option C: Purposive sampling is a non-probability sampling technique that is appropriate for conceptual research.
Option D: Convenience sampling is another non-probability sampling technique, but it is less targeted and may not provide the specific insights needed for conceptual research.

4. Selecting sample units in just a"hit and miss" fashion is called

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

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

Difficulty: Easy

Concept notes: Convenience or Accidental sampling involves selecting sample units based on ease of access or availability, often without a systematic approach.

Common Mistakes: A common misunderstanding is that "hit and miss" sampling is a random process, but it is actually a non-probability method where samples are chosen based on convenience.

Explanations: Convenience or Accidental sampling is a non-probability sampling method where sample units are selected based on their availability and ease of access. This method does not involve a systematic or random selection process, but rather relies on the researcher's convenience. Therefore, selecting sample units in a "hit and miss" fashion aligns with the definition of convenience or accidental sampling.

Option Analysis:

Option A: Purposive sampling involves selecting units based on specific criteria, not random selection.
Option B: Convenience or Accidental sampling involves selecting units based on ease of access, fitting the "hit and miss" description.
Option C: Stratified sampling involves dividing the population into strata and then selecting samples from each stratum, which is a systematic process.
Option D: Proportionate sampling involves selecting samples in proportion to the strata sizes, which is a systematic process.

5. Why would researchers choose purposive sampling?

Correct Answer: Correct answer is: (B) To select participants who have specific knowledge about the topic.

Exam Relevance: AP Statistics, GRE, MCAT, GMAT

Difficulty: Moderate

Concept notes: Purposive sampling is a non-probability sampling technique where researchers select participants based on specific characteristics or qualities relevant to the research topic.

Common Mistakes: A common misunderstanding is that purposive sampling is a random method, but it is not. It is a deliberate selection process.

Explanations: Purposive sampling is chosen when researchers need participants with specific knowledge or experiences related to the research topic. This method ensures that the sample is relevant and provides valuable insights into the research question.

Option Analysis:

Option A: This is incorrect because purposive sampling is not random; it is a deliberate selection process.
Option B: This is correct because purposive sampling is used to select participants who have specific knowledge about the topic.
Option C: This is incorrect because purposive sampling does not ensure an equal chance for all participants to be selected; it is based on specific criteria.
Option D: This is incorrect because purposive sampling focuses on specific characteristics rather than demographic diversity.

6. What kind of sample technique is the following:Survey the students in your classroom.

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

Exam Relevance: AP 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, which requires each member of the population to have an equal chance of being selected.

Explanations: Surveying the students in your classroom is an example of convenience sampling because it involves selecting participants who are readily available and easy to access. This method does not ensure that every student in the population has an equal chance of being included, which is a key characteristic of simple random sampling.

Option Analysis:

Option A: Correct. Convenience sampling is the appropriate technique when the sample is chosen based on ease of access.
Option B: Incorrect. Simple random sampling requires each member of the population to have an equal chance of being selected, which is not the case here.
Option C: Incorrect. Systematic sampling involves selecting every nth member of the population, which is not applicable in this scenario.
Option D: Incorrect. "Sample" is too general and does not specify the type of sampling technique used.

7. Which of the following sampling techniques refer on the subjective judgment of the researcher when selecting units from the population to be included in the sample?

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

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

Difficulty: Moderate

Concept notes: Non-probability sampling involves the subjective judgment of the researcher in selecting units from the population. This differs from probability sampling, where each unit has a known, non-zero chance of being selected.

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 the population is not well-defined.

Explanations: Non-probability sampling relies on the researcher's judgment to select units from the population. This subjective selection process is a defining characteristic of non-probability sampling. The researcher may choose units based on convenience, quota, or other subjective criteria, which aligns with the description in the question.

Option Analysis:

Option A: Probability Sampling involves random selection, where each unit has a known, non-zero chance of being selected. This does not involve subjective judgment.
Option B: Non-probability Sampling involves the subjective judgment of the researcher in selecting units, which matches the description in the question.
Option C: Convenience Sampling is a type of non-probability sampling where units are selected based on ease of access, but it is not the only type of non-probability sampling.
Option D: Quota Sampling is another type of non-probability sampling where units are selected to meet certain quotas, but it is not the only type of non-probability sampling.

8. Liezel selects student-athletes by interviewing those who arrive at the gym. What non-probability sampling method is being used?

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

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

Difficulty: Easy

Concept notes: Convenience sampling involves selecting individuals who are easiest to reach or most readily available. In this case, Liezel selects student-athletes by interviewing those who arrive at the gym, which aligns with the definition of convenience sampling.

Common Mistakes: A common misunderstanding is confusing convenience sampling with other non-probability sampling methods, such as purposive sampling, which involves selecting individuals based on specific characteristics or criteria.

Explanations: Convenience sampling is used when the sample is selected based on ease of access. In this scenario, Liezel interviews student-athletes who are conveniently available at the gym, making it a clear example of convenience sampling.

Option Analysis:

Option A: Purposive sampling involves selecting individuals based on specific characteristics or criteria, which is not the case here.
Option B: Convenience sampling involves selecting individuals who are easiest to reach or most readily available, which fits the scenario described.
Option C: Snowball sampling involves selecting individuals through referrals from initial participants, which is not applicable here.
Option D: Quota sampling involves selecting individuals to meet specific quotas, which is not the method used in this scenario.

9. In quota sampling, how are quotas typically determined?

Correct Answer: Correct answer is: (D) By key characteristics mirroring the population.

Exam Relevance: AP Statistics, GRE, GMAT, MCAT

Difficulty: Moderate

Concept notes: Quota sampling is a non-probability sampling technique where the researcher ensures that certain characteristics of the sample match those of the population. This method aims to create a sample that is representative of the population based on specific characteristics.

Common Mistakes: A common misunderstanding is that quota sampling relies on random selection, but it actually relies on predefined quotas based on key characteristics.

Explanations: In quota sampling, quotas are determined by key characteristics that mirror the population. This ensures that the sample reflects the diversity and proportions of the population in terms of these characteristics. For example, if the population is 50% male and 50% female, the sample should also be 50% male and 50% female. This method is used to ensure that the sample is representative of the population in terms of these key characteristics.

Option Analysis:

Option A: This option is incorrect because the order respondents arrive online does not ensure that the sample mirrors the population's key characteristics.
Option B: This option is incorrect because random numbers from a table do not ensure that the sample reflects the population's key characteristics.
Option C: This option is incorrect because the convenience of interviewer availability does not ensure that the sample mirrors the population's key characteristics.
Option D: This option is correct because quotas are determined by key characteristics that mirror the population, ensuring the sample is representative.

10. Which of the following types of sampling involves the researcher determining the appropriate ample sizes for the groups identified as important, and then taking convenience samples from those groups?

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

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

Difficulty: Moderate

Concept notes: Quota sampling is a non-probability sampling technique where the researcher determines the appropriate sample sizes for specific groups and then selects participants from those groups based on convenience.

Common Mistakes: A common misunderstanding is that quota sampling is a form of stratified sampling. However, quota sampling is a non-probability method, while stratified sampling is a probability method.

Explanations: Quota sampling involves the researcher identifying important groups and determining the appropriate sample sizes for these groups. The researcher then takes convenience samples from these groups. This aligns with the description provided in the question, making quota sampling the correct answer.

Option Analysis:

Option A: One-stage cluster sampling involves dividing the population into clusters and then randomly selecting entire clusters. This does not match the description given in the question.
Option B: Quota sampling involves determining appropriate sample sizes for specific groups and then taking convenience samples from those groups, which matches the description given in the question.
Option C: Proportional stratified sampling is a probability sampling method where the population is divided into strata, and samples are taken from each stratum in proportion to the stratum's size in the population. This does not match the description given in the question.
Option D: Two-stage cluster sampling involves dividing the population into clusters, randomly selecting some clusters, and then sampling individuals within those selected clusters. This does not match the description given in the question.

Mnemonic: Quota: Quick, Convenient, Targeted

Frequently Asked Questions

What is non-probability sampling?

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

How does purposive sampling differ from accidental sampling?

Purposive sampling involves selecting participants based on specific characteristics or qualities relevant to the research, while accidental sampling relies on convenience and ease of access.

What is the main advantage of convenience sampling?

The main advantage of convenience sampling is its ease of use and the speed at which data can be collected, making it particularly useful for preliminary research.

How does non-probability sampling compare to probability sampling?

Non-probability sampling does not ensure that every member of the population has an equal chance of being selected, unlike probability sampling, which aims to be representative of the entire population.

What is the role of researcher judgment in non-probability sampling?

Researcher judgment plays a crucial role in non-probability sampling, as it guides the selection of participants based on subjective criteria that align with the research objectives.

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