SW 450 Final exam prep Exam Questions and Answers Practice Questions with
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Question 1
If you were implementing a probability sampling design and wanted to make sure that the exact
proportions of BSWs, MSWs, and PhD social workers were represented in the sample, which
type of design would you use?
A) Simple random sample
B) Snowball sample
C) Stratified random sample
D) Convenience sample
E) Quota sample
Correct Answer: C) Stratified random sample
Rationale: A stratified random sample involves dividing the population into homogeneous
subgroups (strata) based on a specific characteristic, such as educational level. Random
samples are then drawn from each stratum to ensure the sample reflects the true
proportions of the population.
Question 2
Which of the following refers to the list of every person or unit eligible to be contacted in a
survey?
A) Population
B) Sampling frame
C) Stratum
D) Sample size
E) Focus group
Correct Answer: B) Sampling frame
Rationale: The sampling frame is the actual list or quasi-list from which the sample is
drawn. For example, if you are surveying social workers in a specific city, the directory of
licensed social workers would serve as the sampling frame.
Question 3
What are the two primary types of sampling strategies used in social work research?
A) Internal and External
B) Probability and Non-probability
C) Nominal and Ordinal
D) Formative and Summative
E) Systematic and Random
Correct Answer: B) Probability and Non-probability
Rationale: Probability sampling involves random selection where every element has a
known chance of being chosen, while non-probability sampling involves selection based on
convenience or specific criteria where the likelihood of selection cannot be calculated.
, Page 2
Question 4
Which term describes the tendency of an interviewer to unconsciously shy away from people
who do not resemble them to avoid fear or dislike?
A) Selection bias
B) Response bias
C) Interviewer bias
D) Sampling error
E) Cognitive dissonance
Correct Answer: C) Interviewer bias
Rationale: Interviewer bias occurs when the personal characteristics or subconscious
preferences of the interviewer influence who they approach for an interview, often leading
to a sample that is not representative of the broader population.
Question 5
When it comes to sample size, which statement best describes the different positions of
qualitative and quantitative researchers?
A) Both believe "more is better" for every study.
B) Quantitative researchers prefer smaller, more in-depth samples.
C) Qualitative researchers generally have smaller sample sizes to provide in-depth detail, while
quantitative researchers believe larger samples improve generalizability.
D) Sample size does not matter to quantitative researchers.
E) Qualitative researchers prefer large samples to find a single objective reality.
Correct Answer: C) Qualitative researchers generally have smaller sample sizes to provide
in-depth detail, while quantitative researchers believe larger samples improve
generalizability.
Rationale: Quantitative research relies on the Law of Large Numbers to ensure statistical
power and generalizability. Qualitative research focuses on "saturation" and deep
understanding, which is often achieved through smaller, purposeful samples.
Question 6
In probability sampling strategies, which of the following is true regarding the relationship
between the margin of error and the confidence interval?
A) They are dependent on each other.
B) They are independent.
C) They must always add up to 100%.
D) Margin of error is only used in qualitative research.
E) Confidence intervals are only used in non-probability sampling.
Correct Answer: B) They are independent.
Rationale: One can select different combinations of these metrics depending on the required
precision. For example, a researcher can choose a 99% confidence interval with a 5%
margin of error, or a 95% confidence interval with a 3% margin of error.
, Page 3
Question 7
Sampling theory is based on the concept that:
A) Every single person in a population must be interviewed for results to be valid.
B) A much smaller, randomly selected group can yield approximately the same findings as the
entire population.
C) Non-random groups are more accurate than random groups.
D) Large samples always eliminate every form of bias.
E) Only qualitative data can be generalized.
Correct Answer: B) A much smaller, randomly selected group can yield approximately the
same findings as the entire population.
Rationale: This is the fundamental principle of inferential statistics. It allows researchers to
save time and resources by studying a representative subset to draw conclusions about a
much larger population.
Question 8
What is the type of non-probability sampling where one respondent leads the researcher to
another possible participant?
A) Simple random sampling
B) Quota sampling
C) Snowball sampling
D) Purposive sampling
E) Systematic sampling
Correct Answer: C) snowball sampling
Rationale: Snowball sampling is often used with hard-to-reach populations. The researcher
finds one person who fits the criteria, and that person refers the researcher to others in
their network.
Question 9
Is it common for mail surveys to have response rates of less than 30%?
A) No, they usually have 90% or higher.
B) Yes, this is a common challenge with mail surveys.
C) No, 30% is considered a failure in every case.
D) Yes, but only in qualitative studies.
E) Mail surveys are no longer used in research.
Correct Answer: B) Yes, this is a common challenge with mail surveys.
Rationale: Low response rates are a major disadvantage of mail surveys. This can lead to
non-response bias, where the people who chose to reply might differ significantly from
those who did not.
Question 10
How do incentives affect survey response rates?
A) They decrease the response rate because people feel insulted.
Solutions Newest Complete Questions And Correct Detailed Answers| Already
Graded A+
Question 1
If you were implementing a probability sampling design and wanted to make sure that the exact
proportions of BSWs, MSWs, and PhD social workers were represented in the sample, which
type of design would you use?
A) Simple random sample
B) Snowball sample
C) Stratified random sample
D) Convenience sample
E) Quota sample
Correct Answer: C) Stratified random sample
Rationale: A stratified random sample involves dividing the population into homogeneous
subgroups (strata) based on a specific characteristic, such as educational level. Random
samples are then drawn from each stratum to ensure the sample reflects the true
proportions of the population.
Question 2
Which of the following refers to the list of every person or unit eligible to be contacted in a
survey?
A) Population
B) Sampling frame
C) Stratum
D) Sample size
E) Focus group
Correct Answer: B) Sampling frame
Rationale: The sampling frame is the actual list or quasi-list from which the sample is
drawn. For example, if you are surveying social workers in a specific city, the directory of
licensed social workers would serve as the sampling frame.
Question 3
What are the two primary types of sampling strategies used in social work research?
A) Internal and External
B) Probability and Non-probability
C) Nominal and Ordinal
D) Formative and Summative
E) Systematic and Random
Correct Answer: B) Probability and Non-probability
Rationale: Probability sampling involves random selection where every element has a
known chance of being chosen, while non-probability sampling involves selection based on
convenience or specific criteria where the likelihood of selection cannot be calculated.
, Page 2
Question 4
Which term describes the tendency of an interviewer to unconsciously shy away from people
who do not resemble them to avoid fear or dislike?
A) Selection bias
B) Response bias
C) Interviewer bias
D) Sampling error
E) Cognitive dissonance
Correct Answer: C) Interviewer bias
Rationale: Interviewer bias occurs when the personal characteristics or subconscious
preferences of the interviewer influence who they approach for an interview, often leading
to a sample that is not representative of the broader population.
Question 5
When it comes to sample size, which statement best describes the different positions of
qualitative and quantitative researchers?
A) Both believe "more is better" for every study.
B) Quantitative researchers prefer smaller, more in-depth samples.
C) Qualitative researchers generally have smaller sample sizes to provide in-depth detail, while
quantitative researchers believe larger samples improve generalizability.
D) Sample size does not matter to quantitative researchers.
E) Qualitative researchers prefer large samples to find a single objective reality.
Correct Answer: C) Qualitative researchers generally have smaller sample sizes to provide
in-depth detail, while quantitative researchers believe larger samples improve
generalizability.
Rationale: Quantitative research relies on the Law of Large Numbers to ensure statistical
power and generalizability. Qualitative research focuses on "saturation" and deep
understanding, which is often achieved through smaller, purposeful samples.
Question 6
In probability sampling strategies, which of the following is true regarding the relationship
between the margin of error and the confidence interval?
A) They are dependent on each other.
B) They are independent.
C) They must always add up to 100%.
D) Margin of error is only used in qualitative research.
E) Confidence intervals are only used in non-probability sampling.
Correct Answer: B) They are independent.
Rationale: One can select different combinations of these metrics depending on the required
precision. For example, a researcher can choose a 99% confidence interval with a 5%
margin of error, or a 95% confidence interval with a 3% margin of error.
, Page 3
Question 7
Sampling theory is based on the concept that:
A) Every single person in a population must be interviewed for results to be valid.
B) A much smaller, randomly selected group can yield approximately the same findings as the
entire population.
C) Non-random groups are more accurate than random groups.
D) Large samples always eliminate every form of bias.
E) Only qualitative data can be generalized.
Correct Answer: B) A much smaller, randomly selected group can yield approximately the
same findings as the entire population.
Rationale: This is the fundamental principle of inferential statistics. It allows researchers to
save time and resources by studying a representative subset to draw conclusions about a
much larger population.
Question 8
What is the type of non-probability sampling where one respondent leads the researcher to
another possible participant?
A) Simple random sampling
B) Quota sampling
C) Snowball sampling
D) Purposive sampling
E) Systematic sampling
Correct Answer: C) snowball sampling
Rationale: Snowball sampling is often used with hard-to-reach populations. The researcher
finds one person who fits the criteria, and that person refers the researcher to others in
their network.
Question 9
Is it common for mail surveys to have response rates of less than 30%?
A) No, they usually have 90% or higher.
B) Yes, this is a common challenge with mail surveys.
C) No, 30% is considered a failure in every case.
D) Yes, but only in qualitative studies.
E) Mail surveys are no longer used in research.
Correct Answer: B) Yes, this is a common challenge with mail surveys.
Rationale: Low response rates are a major disadvantage of mail surveys. This can lead to
non-response bias, where the people who chose to reply might differ significantly from
those who did not.
Question 10
How do incentives affect survey response rates?
A) They decrease the response rate because people feel insulted.
