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Unit Ii Research Aptitude
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Non Probability Sampling – Quiz 24
Non Probability Sampling Quiz 24 (10 MCQs)
This set of multiple-choice questions evaluates understanding of non-probability sampling methods, including convenience sampling, purposive sampling, and snowball sampling. It assesses the ability to recognize subjective selection criteria, ease of access, and the relevance of sample selection in qualitative research.
Quiz Instructions
Select an option to see the correct answer instantly.
1.
Read the statements below and fill in the blank with a word that best describe the given statements ..... Sampling technique in which the researcher selects samples based on the subjective judgment of the researcher rather than random selection.
A) Nonprobability Sampling Technique.
B) Probability sampling.
Show Answer
Correct Answer:
Correct answer is: (A) Nonprobability Sampling Technique.
Exam Relevance:
AP Statistics, GRE, GMAT, Research Methods Exams
Difficulty:
Moderate
Concept notes:
Nonprobability sampling involves selecting samples based on the researcher's judgment rather than random selection.
Common Mistakes:
A common mistake is confusing nonprobability sampling with probability sampling, which relies on random selection.
Explanations:
Nonprobability sampling techniques are used when the researcher selects samples based on subjective judgment rather than random selection. This method does not ensure that every member of the population has an equal chance of being selected, which is a key characteristic of probability sampling. Therefore, the correct term for this sampling technique is Nonprobability Sampling Technique.
Option Analysis:
Option A:
This is the correct answer as it accurately describes the sampling technique where the researcher's subjective judgment is used to select samples.
Option B:
This is incorrect because probability sampling involves random selection, which is not the case in the described scenario.
2.
What sampling technique will be used if a researcher wants to know the experience of the board exam takers in the time of pandemic?
A) Convenience Sampling.
B) Quota Sampling.
C) Purposive Sampling.
D) Snowball Sampling.
Show Answer
Correct Answer:
Correct answer is: (C) Purposive Sampling.
Exam Relevance:
Research Methods, Statistics, Psychology 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.
Common Mistakes:
A common mistake is confusing purposive sampling with convenience sampling, where participants are chosen based on ease of access rather than specific criteria.
Explanations:
Purposive sampling is appropriate for this scenario because the researcher is interested in the experiences of board exam takers during the pandemic. The researcher can select participants who have taken board exams during the pandemic, ensuring that the sample is relevant and focused on the specific experience of interest.
Option Analysis:
Option A:
Convenience Sampling involves selecting participants based on their availability and ease of access, which does not align with the need to focus on board exam takers during the pandemic.
Option B:
Quota Sampling involves selecting participants to meet certain quotas, which does not specifically target the experience of board exam takers during the pandemic.
Option C:
Purposive Sampling involves selecting participants based on specific criteria, making it suitable for focusing on board exam takers during the pandemic.
Option D:
Snowball Sampling involves participants recruiting other participants, which may not ensure a representative sample of board exam takers during the pandemic.
Mnemonic:
Purposive: Purpose-driven participants
3.
Judgemental and Convenience Sampling are examples of:
A) Probability Sampling.
B) Non-probability Sampling.
Show Answer
Correct Answer:
Correct answer is: (B) Non-probability 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, such as convenience or judgement.
Common Mistakes:
A common mistake is confusing non-probability sampling with probability sampling, where every member of the population has a known, non-zero chance of being selected.
Explanations:
Judgemental and Convenience Sampling are examples of non-probability sampling because they do not use random selection methods. In Judgemental Sampling, the researcher selects the sample based on their judgement or expertise. In Convenience Sampling, the sample is chosen based on convenience or ease of access. Both methods do not ensure that every member of the population has an equal chance of being selected, which is a key characteristic of probability sampling.
Option Analysis:
Option A:
Probability Sampling involves random selection methods, which is not the case for Judgemental and Convenience Sampling.
Option B:
Non-probability Sampling involves non-random selection methods, which aligns with Judgemental and Convenience Sampling.
4.
Source of bias in which people CHOOSE to respond and usually only people with very strong opinions respond
A) Response Bias.
B) Undercoverage.
C) Convenience Sampling.
D) Voluntary Response.
Show Answer
Correct Answer:
Correct answer is: (D) Voluntary Response.
Exam Relevance:
AP Statistics, GRE, GMAT, MCAT
Difficulty:
Moderate
Concept notes:
Voluntary response sampling occurs when individuals self-select to participate in a survey or study. This often leads to bias because those who choose to respond tend to have strong opinions, which may not be representative of the entire population.
Common Mistakes:
A common mistake is confusing voluntary response with other types of bias, such as response bias, which involves how respondents answer questions rather than who chooses to respond.
Explanations:
Voluntary response sampling is a type of non-probability sampling where participants choose to respond to a survey or study. This method often results in a biased sample because individuals with strong opinions are more likely to participate, leading to an overrepresentation of these views. This is different from other biases like response bias, which focuses on how respondents answer questions rather than who chooses to respond.
Option Analysis:
Option A:
Response Bias refers to the bias introduced by the way questions are asked or answered, not by who chooses to respond.
Option B:
Undercoverage occurs when some members of the population are inadequately represented in the sample, but it does not specifically address the issue of self-selection.
Option C:
Convenience Sampling involves selecting individuals who are easiest to reach, but it does not specifically address the issue of self-selection based on strong opinions.
Option D:
Voluntary Response is the correct answer because it specifically addresses the issue of individuals self-selecting to participate, often due to having strong opinions.
5.
Which statement best defines non-probability sampling?
A) Selection using stratified proportional allocation.
B) Selection based on researcher's subjective judgment.
C) Selection where every unit has equal known chance.
D) Selection using random chance mechanisms only.
Show Answer
Correct Answer:
Correct answer is: (B) Selection based on researcher's subjective judgment.
Exam Relevance:
AP Statistics, GRE, GMAT, Research Methods Exams
Difficulty:
Moderate
Concept notes:
Non-probability sampling involves selecting samples based on the researcher's subjective judgment rather than random selection. This method does not ensure that every unit in the population has an equal chance of being selected.
Common Mistakes:
A common misunderstanding is that non-probability sampling involves random selection, which is incorrect. Random selection is a characteristic of probability sampling, not non-probability sampling.
Explanations:
Non-probability sampling relies on the researcher's subjective judgment to select samples. This method is often used when it is difficult or impractical to use probability sampling techniques. The key feature is that the selection process is not based on random chance, but rather on the researcher's criteria or convenience.
Option Analysis:
Option A:
Stratified proportional allocation is a method of probability sampling, not non-probability sampling.
Option B:
This is the correct definition of non-probability sampling, where the selection is based on the researcher's subjective judgment.
Option C:
Equal known chance of selection is a characteristic of probability sampling, not non-probability sampling.
Option D:
Random chance mechanisms are used in probability sampling, not non-probability sampling.
6.
What is the main reason for using snowball sampling in qualitative research?
A) To end the study quickly.
B) To recruit participants from a small network of acquaintances.
C) To select participants randomly.
D) To ensure a large sample size.
Show Answer
Correct Answer:
Correct answer is: (B) To recruit participants from a small network of acquaintances.
Exam Relevance:
Qualitative Research Methods, Social Science Research, Psychology Exams
Difficulty:
Moderate
Concept notes:
Snowball sampling is a non-probability sampling technique used in qualitative research where existing study subjects recruit future subjects from among their acquaintances.
Common Mistakes:
A common misunderstanding is that snowball sampling is used to ensure a large sample size or to randomly select participants, which is not the case.
Explanations:
Snowball sampling is particularly useful when the population of interest is hard to reach or hidden. It relies on referrals from initial subjects to generate additional subjects. This method is not designed to end the study quickly or to ensure a large sample size, but rather to access a specific, often niche or hard-to-reach population.
Option Analysis:
Option A:
Snowball sampling is not used to end the study quickly; it is a method to recruit participants through referrals.
Option B:
This is the correct answer. Snowball sampling recruits participants from a small network of acquaintances, expanding the sample through referrals.
Option C:
Snowball sampling is not a random selection method; it relies on referrals and is non-probability based.
Option D:
Snowball sampling does not ensure a large sample size; it is used to access specific populations, often small and hard to reach.
7.
A sample selected based on ease of access is called:
A) Simple random sampling.
B) Purposive sampling.
C) Convenience sampling.
D) Stratified sampling.
Show Answer
Correct Answer:
Correct answer is: (C) Convenience sampling.
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.
Common Mistakes:
A common misunderstanding is confusing convenience sampling with simple random sampling, which involves selecting participants randomly from a defined population.
Explanations:
Convenience sampling is used when the sample is selected based on ease of access. This method is often used when the researcher needs to collect data quickly and does not have the resources to use more rigorous sampling methods. The key characteristic of convenience sampling is that participants are chosen based on their availability and willingness to participate, rather than through a random selection process.
Option Analysis:
Option A:
Simple random sampling involves selecting participants randomly from a defined population, which is not the case for convenience sampling.
Option B:
Purposive sampling involves selecting participants based on specific criteria, which is different from selecting based on ease of access.
Option C:
Convenience sampling is the correct answer as it involves selecting participants based on their availability and ease of access.
Option D:
Stratified sampling involves dividing the population into subgroups and then randomly selecting participants from each subgroup, which is not the same as convenience sampling.
8.
A type of purposive sampling that involves deliberate attempts to draw from diverse groups is
A) Maximum variation sampling.
B) Strata sampling.
C) Quota sampling.
D) None of above.
Show Answer
Correct Answer:
Correct answer is: (A) Maximum variation sampling.
Exam Relevance:
Research Methods, Social Science Research, Qualitative Research Methods
Difficulty:
Moderate
Concept notes:
Maximum variation sampling is a type of purposive sampling that aims to include a wide range of perspectives and experiences by deliberately selecting participants from diverse groups.
Common Mistakes:
A common misunderstanding is that quota sampling or stratified sampling (which are probability sampling methods) are the same as maximum variation sampling. However, maximum variation sampling is a non-probability method that focuses on diversity rather than proportionate representation.
Explanations:
Maximum variation sampling is a non-probability sampling technique that involves selecting participants who represent a wide range of perspectives and experiences. This method is used to capture the full spectrum of variation within a population, ensuring that diverse groups are included. This aligns with the question's requirement of deliberate attempts to draw from diverse groups.
Option Analysis:
Option A:
Correct. Maximum variation sampling is a non-probability method that aims to include diverse perspectives and experiences.
Option B:
Incorrect. Strata sampling is a probability sampling method that involves dividing the population into subgroups and then randomly selecting samples from each subgroup.
Option C:
Incorrect. Quota sampling is a non-probability method that involves selecting participants to meet specific quotas, but it does not necessarily aim for maximum variation.
Option D:
Incorrect. This option is not applicable as the correct answer is provided in Option A.
9.
A method for constructing a sample from a specific population by initially using a few known members to identify others is known as
A) Quota sampling.
B) Convenience Sampling.
C) Snowball Sampling.
D) Purposive sampling.
Show Answer
Correct Answer:
Correct answer is: (C) 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 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 few known individuals and relies on referrals from initial participants to recruit others. This method is effective in studies involving rare or hard-to-find populations, such as individuals with specific rare diseases or members of underground communities.
Option Analysis:
Option A:
Quota sampling involves selecting participants to meet specific quotas based on certain characteristics, which is different from snowball sampling.
Option B:
Convenience sampling involves selecting individuals who are readily available and easy to access, which is not the same as snowball sampling.
Option C:
Snowball sampling is the correct method where initial participants recruit others from their network, fitting the description in the question.
Option D:
Purposive sampling involves selecting participants based on specific criteria, which is not the same as snowball sampling.
10.
You want to know who the best teacher at Lamar High School is. Your decide to survey the first 10 people you see passing in the hallway.
A) Random.
B) Stratified.
C) Cluster.
D) Systematic.
E) Convenience.
Show Answer
Correct Answer:
Correct answer is: (E) 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 non-probability sampling because it does not ensure that every individual in the population has an equal chance of being selected.
Common Mistakes:
A common mistake is to confuse convenience sampling with other non-probability sampling methods, such as random or systematic sampling, which involve more structured selection processes.
Explanations:
The survey method described involves selecting the first 10 people seen in the hallway, which is a quick and easy way to gather data. This approach is characteristic of convenience sampling because it relies on the ease of access to participants rather than a structured or random selection process.
Option Analysis:
Option A:
Random sampling involves selecting individuals randomly from the population, ensuring each individual has an equal chance of being selected. This is not the case here.
Option B:
Stratified sampling involves dividing the population into subgroups (strata) and then randomly selecting individuals from each subgroup. This is not the case here.
Option C:
Cluster sampling involves dividing the population into clusters and then randomly selecting entire clusters. This is not the case here.
Option D:
Systematic sampling involves selecting individuals at regular intervals from a list or sequence. This is not the case here.
Option E:
Convenience sampling involves selecting individuals who are easiest to reach or most readily available. This matches the described method.
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Frequently Asked Questions
What is non-probability sampling?
Non-probability sampling is a sampling technique where the selection of participants is based on subjective judgment rather than random selection, making it useful for qualitative research and exploratory studies.
How does convenience sampling work?
Convenience sampling involves selecting participants who are readily available and easy to access, often used when time and resources are limited, but it can introduce bias due to the ease of access.
What is the purpose of purposive sampling?
Purposive sampling is used to select participants based on specific criteria relevant to the research question, allowing researchers to focus on individuals with particular characteristics or experiences.
How is snowball sampling applied?
Snowball sampling is used to reach hidden or hard-to-find populations by starting with a few known individuals and asking them to refer others who meet the research criteria, expanding the sample size gradually.
What is the main drawback of voluntary response sampling?
Voluntary response sampling can lead to self-selection bias, as participants who choose to respond may have strong opinions or be more motivated, which can skew the results and not represent the broader population accurately.