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Non Probability Sampling Quiz 4 (10 MCQs)

This set of multiple-choice questions evaluates understanding of non-probability sampling techniques, including convenience sampling, quota sampling, and purposive sampling. It assesses the ability to identify bias in sampling, recognize voluntary response bias, and understand the implications of non-representative samples in qualitative research.

Quiz Instructions

Select an option to see the correct answer instantly.

1. In purposive sampling for qualitative studies, the researcher .....

Correct Answer: Correct answer is: (A) Establishes the purpose of the study and omits subjects who don't fit.

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

Difficulty: Moderate

Concept notes: Purposive sampling is a non-probability sampling technique where the researcher selects participants based on specific criteria relevant to the research purpose.

Common Mistakes: A common misunderstanding is that purposive sampling aims to include a wide range of subjects or only non-typical subjects, which is not accurate.

Explanations: In purposive sampling, the researcher defines the purpose of the study and selects participants who meet specific criteria related to that purpose. This means that subjects who do not fit the criteria are excluded from the sample. This approach ensures that the sample is relevant and appropriate for the research objectives.

Option Analysis:

Option A: Correct. This option accurately describes the process of purposive sampling where the researcher establishes the purpose and selects subjects who fit the criteria.
Option B: Incorrect. Purposive sampling does not focus on eliminating outliers; it focuses on selecting subjects who meet specific criteria.
Option C: Incorrect. Purposive sampling does not aim to obtain a wide range of subjects but rather selects subjects based on specific criteria.
Option D: Incorrect. Purposive sampling selects subjects who fit the criteria, not only non-typical subjects.

2. In ..... the interviews are simply given quotas to be filled from the different strata with some restriction they are to be filled

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

Exam Relevance: AP Statistics, GRE, GMAT, MBA entrance exams

Difficulty: Easy

Concept notes: Quota sampling is a non-probability sampling technique where the population is divided into different strata, and interviewers are given quotas to fill from each stratum. This ensures that the sample includes a certain number of individuals from each subgroup, but it is not random.

Common Mistakes: A common misunderstanding is confusing quota sampling with stratified sampling. While both involve dividing the population into strata, quota sampling relies on non-random selection within each stratum, whereas stratified sampling uses random selection.

Explanations: In quota sampling, interviewers are given quotas to be filled from different strata, with restrictions on how these quotas should be filled. This ensures that the sample includes a predetermined number of individuals from each subgroup, but the selection within each stratum is not random. This aligns with the description provided in the question.

Option Analysis:

Option A: Quota sampling involves dividing the population into strata and assigning quotas to be filled from each stratum, which matches the description in the question.
Option B: Cluster sampling involves dividing the population into clusters and randomly selecting entire clusters, which does not match the description of assigning quotas.
Option C: Stratified sampling involves dividing the population into strata and randomly selecting individuals from each stratum, which does not match the non-random assignment of quotas.
Option D: Sequential sampling involves selecting samples one at a time until a predetermined criterion is met, which does not involve assigning quotas to strata.

Mnemonic: Quota: Quotas for each group.

3. A research recognises that 70% of their target population are female and so 70% of their sample are female. which sampling technique does this best apply to?

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

Exam Relevance: AP Statistics, Psychology Research Methods, Sociology Research Methods

Difficulty: Moderate

Concept notes: Quota sampling is a non-probability sampling technique where the researcher ensures that certain characteristics of the population are represented in the sample in the same proportion as they exist in the population.

Common Mistakes: A common misunderstanding is confusing quota sampling with stratified sampling. While both methods involve dividing the population into subgroups, quota sampling is a non-probability method that relies on the researcher's judgment to select participants, whereas stratified sampling is a probability method that involves random selection within each stratum.

Explanations: Quota sampling is the correct answer because it involves setting quotas for specific characteristics (such as gender) to ensure that the sample reflects the population's composition. In this case, the researcher ensures that 70% of the sample are female to match the 70% female population. This aligns with the definition and application of quota sampling.

Option Analysis:

Option A: Stratified sampling involves dividing the population into strata and then randomly selecting samples from each stratum. This is a probability sampling method, not a non-probability method like quota sampling.
Option B: Volunteer sampling involves selecting participants who volunteer to be part of the study. This method does not ensure that the sample reflects the population's characteristics in the same proportion.
Option C: Quota sampling involves setting quotas for specific characteristics to ensure the sample reflects the population's composition. This matches the scenario described in the question.
Option D: Systematic sampling involves selecting every nth member of the population after a random start. This is a probability sampling method and does not involve setting quotas for specific characteristics.

Mnemonic: Quota: Quotas for characteristics.

4. Why might non-probability voluntary sampling lead to biased results?

Correct Answer: Correct answer is: (A) Participants self-select, often having strong interest in the topic.

Exam Relevance: AP Statistics, GRE, GMAT, MCAT

Difficulty: Moderate

Concept notes: Non-probability voluntary sampling involves participants choosing to be part of the study, which can introduce bias.

Common Mistakes: A common misunderstanding is that non-probability sampling methods are as reliable as probability sampling methods.

Explanations: In non-probability voluntary sampling, participants self-select into the study, often because they have a strong interest in the topic. This self-selection can lead to a sample that is not representative of the broader population, as those with strong interests may have different characteristics or opinions compared to the general population. This can introduce bias into the results.

Option Analysis:

Option A: This is correct because participants self-select, often having strong interest in the topic, which can introduce bias.
Option B: This is incorrect because non-probability sampling does not ensure that all individuals have an equal chance of being selected.
Option C: This is incorrect because non-probability sampling does not use a random number generator for selection.
Option D: This is incorrect because non-probability sampling does not require a complete list of the population.

5. The researcher is interested in getting an inexpensive approximation of data. What sampling technique the researcher adheres to?

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

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 ease of access. This method is often used when the researcher needs to gather data quickly and inexpensively.

Common Mistakes: A common misunderstanding is that convenience sampling is a random method, but it is not. It relies on the ease of access to participants rather than a random selection process.

Explanations: The researcher is looking for an inexpensive and quick way to gather data. Convenience sampling fits this requirement as it involves selecting participants who are readily available and easy to access, making it a cost-effective and time-efficient method.

Option Analysis:

Option A: Random sampling involves selecting participants randomly, which is not the focus of the question as it does not necessarily ensure an inexpensive or quick method.
Option B: Convenience sampling is the correct choice as it is inexpensive and quick, aligning with the researcher's needs.
Option C: Stratified sampling involves dividing the population into subgroups and then randomly selecting from each subgroup, which is more complex and not necessarily inexpensive or quick.
Option D: Quota sampling involves selecting participants to meet certain quotas, which can be more structured and time-consuming than convenience sampling.

6. Encourage other cases to take part (secret societies, inaccessible professions)

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

Exam Relevance: AP Statistics, GRE, MCAT, GMAT

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 for accessing hard-to-reach populations.

Common Mistakes: A common misunderstanding is that snowball sampling is only useful for small, niche groups. However, it can be effective for larger populations that are difficult to access through traditional sampling methods.

Explanations: Snowball sampling is the most appropriate method for encouraging other cases to take part in studies involving secret societies or inaccessible professions. This technique relies on referrals from initial participants to recruit additional participants, making it ideal for accessing populations that are not easily reachable through conventional sampling methods.

Option Analysis:

Option A: Convenience sampling involves selecting individuals who are easiest to reach, which does not address the challenge of accessing secret societies or inaccessible professions.
Option B: Quota sampling involves selecting a predetermined number of individuals based on specific characteristics, which does not address the challenge of accessing hard-to-reach populations.
Option C: Purposive / Judgment sampling involves selecting individuals based on specific criteria, but it does not inherently address the challenge of accessing secret societies or inaccessible professions.
Option D: Snowball sampling is the most appropriate method for accessing hard-to-reach populations, such as secret societies or inaccessible professions, by leveraging referrals from initial participants.

7. A type of sampling used in qualitative research that involves selecting cases that disconfirm the Researcher's expectations and generalizations is referred to as .....

Correct Answer: Correct answer is: (C) Negative-case sampling.

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

Difficulty: Moderate

Concept notes: Negative-case sampling is a non-probability sampling technique used in qualitative research to identify and select cases that contradict or challenge the researcher's initial hypotheses or generalizations. This method helps to refine and strengthen the research findings by ensuring that the conclusions are robust and not based on biased or limited data.

Common Mistakes: A common misunderstanding is that negative-case sampling is only about finding cases that are unusual or extreme. However, it specifically targets cases that disconfirm the researcher's expectations, which may not necessarily be extreme.

Explanations: Negative-case sampling is used to identify cases that contradict the researcher's initial hypotheses or generalizations. This method is crucial in qualitative research as it helps to refine and strengthen the research findings by ensuring that the conclusions are robust and not based on biased or limited data. By selecting cases that disconfirm the researcher's expectations, negative-case sampling helps to identify potential flaws or limitations in the initial hypotheses, leading to more accurate and reliable research outcomes.

Option Analysis:

Option A: Extreme case sampling involves selecting cases that are at the extremes of a distribution, such as the highest or lowest values, rather than cases that disconfirm the researcher's expectations.
Option B: Critical-case sampling involves selecting cases that are critical to the research question, often because they are particularly informative or representative, but not necessarily because they disconfirm the researcher's expectations.
Option C: Negative-case sampling involves selecting cases that disconfirm the researcher's expectations and generalizations, making it the correct choice for this question.
Option D: Typical-case sampling involves selecting cases that are representative of the typical or average situation, rather than cases that disconfirm the researcher's expectations.

8. A student chooses to send a survey out to the G9-11 students at her school to collect data for her IA. What is this an example of?

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

Exam Relevance: AP Statistics, IB Statistics, A-Level Statistics

Difficulty: Moderate

Concept notes: Convenience sampling is a non-probability sampling technique where the sample is selected based on ease of access and availability. It is often used when the researcher has limited time, resources, or access to the population.

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

Explanations: The student chose to send a survey to G9-11 students at her school, which is an example of convenience sampling. This method is used because it is easy and convenient to access these students, rather than using a more rigorous sampling method that would require a random selection from a larger population.

Option Analysis:

Option A: Simple Random Sampling involves selecting a sample where every member of the population has an equal chance of being chosen. This is not the case here as the sample is not randomly selected from a larger population.
Option B: Systematic Sampling involves selecting every nth member from a list. This is not the case here as the sample is not selected based on a systematic approach.
Option C: Convenience Sampling involves selecting a sample based on ease of access. This is the correct choice as the student chose to survey G9-11 students at her school, which is convenient and accessible.
Option D: Quota Sampling involves selecting a sample to match certain characteristics of the population. This is not the case here as the sample is not selected to match specific quotas.
Option E: Stratified Sampling involves dividing the population into subgroups and then randomly selecting from each subgroup. This is not the case here as the sample is not divided into subgroups and randomly selected.

9. Which statement best defines quota sampling in business research?

Correct Answer: Correct answer is: (D) Selecting respondents until segment quotas are filled.

Exam Relevance: Market Research Exams, Business Research Methods Exams, Social Science Research Exams

Difficulty: Moderate

Concept notes: Quota sampling is a non-probability sampling technique where the researcher selects a predetermined number of participants from specific subgroups or segments of the population. The goal is to ensure that the sample reflects the population in terms of certain characteristics.

Common Mistakes: A common misunderstanding is that quota sampling involves random selection within each segment, but it does not. Quota sampling relies on the researcher's judgment to select participants until the quota for each segment is met.

Explanations: Quota sampling involves setting quotas for different segments of the population and then selecting respondents until these quotas are filled. This method ensures that the sample includes a specific number of individuals from each subgroup, but it does not use random selection within these subgroups. The other options describe different sampling methods that do not align with the definition of quota sampling.

Option Analysis:

Option A: This describes a method to correct for imbalances in coverage, not quota sampling.
Option B: This describes a snowball sampling technique, not quota sampling.
Option C: This describes stratified random sampling, not quota sampling.
Option D: This correctly describes quota sampling, where respondents are selected until segment quotas are filled.

Mnemonic: Quota: Quotas filled, not random.

10. A volunteer sample is characterized by:

Correct Answer: Correct answer is: (B) Participants choosing to participate in the study.

Exam Relevance: AP Statistics, GRE, MCAT

Difficulty: Easy

Concept notes: A volunteer sample is a type of non-probability sampling where participants self-select into the study.

Common Mistakes: A common misunderstanding is that volunteer samples are randomly selected, which is incorrect. Volunteer samples are based on participants' willingness to participate.

Explanations: In non-probability sampling, participants are not chosen randomly. Instead, they are selected based on their willingness to participate. This self-selection process defines a volunteer sample, where individuals choose to be part of the study.

Option Analysis:

Option A: This describes random sampling, not volunteer sampling.
Option B: This correctly describes volunteer sampling, where participants choose to participate.
Option C: This describes a form of purposive sampling, not volunteer sampling.
Option D: This describes researcher-assigned sampling, not volunteer sampling.

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. It is often used in qualitative research and when population representation is not a primary concern.

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

Convenience sampling involves selecting participants based on their ease of access and availability. It is the simplest form of non-probability sampling and is often used when time and resources are limited.

What is the purpose of purposive sampling?

Purposive sampling is used to select participants based on specific criteria relevant to the research question. It is particularly useful when the researcher needs to study particular characteristics or traits within a population.

How does quota sampling work?

Quota sampling involves dividing the population into segments and setting quotas for each segment based on certain characteristics. Researchers then select participants to meet these quotas, ensuring a certain level of diversity within the sample.

What is snowball sampling and when is it used?

Snowball sampling is a method where existing study subjects recruit future subjects from among their acquaintances. It is particularly useful for studying hard-to-reach populations where traditional sampling methods are not feasible.

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