NURS 5366 Module 8 Exam V3 | NURS
5366 Principles of Research in Nursing |
Actual Q&A with Rationale (NURS5366
Module 8 Exam) | The University of Texas
at Arlington
1. A researcher is examining the relationship between sleep hours and cognitive
performance. Which statistical test is most appropriate for determining the strength and
direction of this relationship?
A. Chi-square test
B. Independent t-test
C. Analysis of Variance (ANOVA)
D. Pearson Correlation Coefficient
Answer: D
Rationale: The Pearson Correlation Coefficient is designed to measure the linear
relationship between two continuous variables. This test provides a value between -1 and
+1, indicating both the strength and the direction of the association. It is the standard
approach for exploring how changes in one variable correspond to changes in another.
2. When a researcher rejects the null hypothesis when it is actually true, what type of error
has occurred?
A. Sampling Error
,B. Type II Error
C. Type I Error
D. Measurement Error
Answer: C
Rationale: A Type I error occurs when the researcher falsely concludes that a significant
effect exists, essentially producing a false positive. This error is directly related to the alpha
level set by the researcher, typically at 0.05. Minimizing this risk is crucial for ensuring the
reliability of scientific findings in clinical practice.
3. Which level of measurement is characterized by data that can be categorized, ranked, and
has equal intervals, but lacks a true zero point?
A. Nominal
B. Ordinal
C. Ratio
D. Interval
Answer: D
Rationale: Interval scale data allows for the measurement of distance between points
without a meaningful zero, such as temperature in Celsius. This level of measurement
permits more complex statistical analyses than nominal or ordinal data. Understanding
, these levels is essential for selecting the correct statistical tests during the research
process.
4. In a study comparing the average blood pressure of three different medication groups,
which test should be utilized?
A. ANOVA
B. Paired t-test
C. Pearson’s r
D. Mann-Whitney U
Answer: A
Rationale: The Analysis of Variance (ANOVA) is used to compare the means of more than
two independent groups. Using multiple t-tests instead of an ANOVA would increase the
risk of committing a Type I error. This test determines if at least one group mean is
significantly different from the others.
5. What is the primary purpose of power analysis in quantitative research?
A. To calculate the required sample size
B. To identify the range of the data
C. To determine the alpha level
D. To assess the validity of the tool
Answer: A
5366 Principles of Research in Nursing |
Actual Q&A with Rationale (NURS5366
Module 8 Exam) | The University of Texas
at Arlington
1. A researcher is examining the relationship between sleep hours and cognitive
performance. Which statistical test is most appropriate for determining the strength and
direction of this relationship?
A. Chi-square test
B. Independent t-test
C. Analysis of Variance (ANOVA)
D. Pearson Correlation Coefficient
Answer: D
Rationale: The Pearson Correlation Coefficient is designed to measure the linear
relationship between two continuous variables. This test provides a value between -1 and
+1, indicating both the strength and the direction of the association. It is the standard
approach for exploring how changes in one variable correspond to changes in another.
2. When a researcher rejects the null hypothesis when it is actually true, what type of error
has occurred?
A. Sampling Error
,B. Type II Error
C. Type I Error
D. Measurement Error
Answer: C
Rationale: A Type I error occurs when the researcher falsely concludes that a significant
effect exists, essentially producing a false positive. This error is directly related to the alpha
level set by the researcher, typically at 0.05. Minimizing this risk is crucial for ensuring the
reliability of scientific findings in clinical practice.
3. Which level of measurement is characterized by data that can be categorized, ranked, and
has equal intervals, but lacks a true zero point?
A. Nominal
B. Ordinal
C. Ratio
D. Interval
Answer: D
Rationale: Interval scale data allows for the measurement of distance between points
without a meaningful zero, such as temperature in Celsius. This level of measurement
permits more complex statistical analyses than nominal or ordinal data. Understanding
, these levels is essential for selecting the correct statistical tests during the research
process.
4. In a study comparing the average blood pressure of three different medication groups,
which test should be utilized?
A. ANOVA
B. Paired t-test
C. Pearson’s r
D. Mann-Whitney U
Answer: A
Rationale: The Analysis of Variance (ANOVA) is used to compare the means of more than
two independent groups. Using multiple t-tests instead of an ANOVA would increase the
risk of committing a Type I error. This test determines if at least one group mean is
significantly different from the others.
5. What is the primary purpose of power analysis in quantitative research?
A. To calculate the required sample size
B. To identify the range of the data
C. To determine the alpha level
D. To assess the validity of the tool
Answer: A
