NURS 5366 Module 8 Exam V1 | 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 conducting a study to compare the mean scores of three different nursing
intervention groups. Which statistical test is most appropriate for this analysis?
A. Chi-square
B. Independent t-test
C. Analysis of Variance (ANOVA)
D. Pearson Correlation
Answer: C
Rationale: The Analysis of Variance (ANOVA) is used when comparing the means of more
than two groups to see if at least one group mean is different from the others. It helps
control for Type I error inflation that would occur if multiple t-tests were performed
instead. This statistical method is standard in nursing research when evaluating multiple
care protocols or educational interventions simultaneously.
2. Which level of measurement provides the highest level of precision and has a true zero
point?
A. Nominal
,B. Ordinal
C. Interval
D. Ratio
Answer: D
Rationale: The Ratio level of measurement is the most precise level because it includes all
the properties of nominal, ordinal, and interval scales while adding a definitive zero point.
Examples in nursing include weight, height, and blood pressure measured in mmHg.
Understanding these levels is crucial for selecting the correct parametric or non-parametric
statistical tests during data analysis.
3. A p-value of 0.03 is obtained in a study where the alpha level was set at 0.05. How should
the researcher interpret this finding?
A. Accept the null hypothesis
B. The study has low power
C. The results are clinically insignificant
D. Reject the null hypothesis
Answer: D
Rationale: When the calculated p-value is less than the pre-set alpha level, the researcher
should Reject the null hypothesis. This indicates that the observed results are statistically
significant and unlikely to have occurred by chance alone. In the context of UTA nursing
, research, this decision allows the researcher to support the alternative or research
hypothesis.
4. Which type of error occurs when a researcher rejects a null hypothesis that is actually true?
A. Type I Error
B. Type II Error
C. Standard Error
D. Sampling Error
Answer: A
Rationale: A Type I Error occurs when the researcher concludes there is a significant effect
or relationship when one does not actually exist in the population. This is often referred to
as a ‘false positive’ and is controlled by the alpha level set by the investigator. Minimizing
this error is vital in clinical research to prevent the adoption of ineffective treatments.
5. A researcher measures patient satisfaction using a scale from 1 (Very Dissatisfied) to 5
(Very Satisfied). What level of measurement is this?
A. Nominal
B. Ratio
C. Interval
D. Ordinal
Answer: D
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 conducting a study to compare the mean scores of three different nursing
intervention groups. Which statistical test is most appropriate for this analysis?
A. Chi-square
B. Independent t-test
C. Analysis of Variance (ANOVA)
D. Pearson Correlation
Answer: C
Rationale: The Analysis of Variance (ANOVA) is used when comparing the means of more
than two groups to see if at least one group mean is different from the others. It helps
control for Type I error inflation that would occur if multiple t-tests were performed
instead. This statistical method is standard in nursing research when evaluating multiple
care protocols or educational interventions simultaneously.
2. Which level of measurement provides the highest level of precision and has a true zero
point?
A. Nominal
,B. Ordinal
C. Interval
D. Ratio
Answer: D
Rationale: The Ratio level of measurement is the most precise level because it includes all
the properties of nominal, ordinal, and interval scales while adding a definitive zero point.
Examples in nursing include weight, height, and blood pressure measured in mmHg.
Understanding these levels is crucial for selecting the correct parametric or non-parametric
statistical tests during data analysis.
3. A p-value of 0.03 is obtained in a study where the alpha level was set at 0.05. How should
the researcher interpret this finding?
A. Accept the null hypothesis
B. The study has low power
C. The results are clinically insignificant
D. Reject the null hypothesis
Answer: D
Rationale: When the calculated p-value is less than the pre-set alpha level, the researcher
should Reject the null hypothesis. This indicates that the observed results are statistically
significant and unlikely to have occurred by chance alone. In the context of UTA nursing
, research, this decision allows the researcher to support the alternative or research
hypothesis.
4. Which type of error occurs when a researcher rejects a null hypothesis that is actually true?
A. Type I Error
B. Type II Error
C. Standard Error
D. Sampling Error
Answer: A
Rationale: A Type I Error occurs when the researcher concludes there is a significant effect
or relationship when one does not actually exist in the population. This is often referred to
as a ‘false positive’ and is controlled by the alpha level set by the investigator. Minimizing
this error is vital in clinical research to prevent the adoption of ineffective treatments.
5. A researcher measures patient satisfaction using a scale from 1 (Very Dissatisfied) to 5
(Very Satisfied). What level of measurement is this?
A. Nominal
B. Ratio
C. Interval
D. Ordinal
Answer: D
