NURS 711 EXAM 4 COMPREHENSIVE
STUDY GUIDE QUESTIONS & VERIFIED
ANSWERS | UNIVERSITY OF SOUTH
CAROLINA | GUARANTEE PASS
1. In a quantitative research study, the researcher sets the alpha level at 0.05. If the resulting
p-value is 0.03, what is the most appropriate statistical conclusion?
A. Fail to reject the null hypothesis; the results are not statistically significant.
B. Reject the null hypothesis; there is a statistically significant difference.
C. Accept the null hypothesis; the results are highly significant.
D. The test lacks sufficient power to make a determination.
Answer: B
Conceptual Explanation: When the p-value is less than the predetermined alpha level
(0.05), the researcher rejects the null hypothesis, indicating that the findings are
statistically significant and unlikely to have occurred by chance.
2. Which statistical test is most appropriate for comparing the means of a continuous
dependent variable across three or more independent groups?
A. Independent t-test
B. One-way ANOVA
,C. Chi-square test
D. Pearson correlation
Answer: B
Conceptual Explanation: Analysis of Variance (ANOVA) is used to determine if there are
statistically significant differences between the means of three or more independent
groups. A t-test is limited to two groups.
3. A DNP student is evaluating a new screening tool. The tool consistently yields the same
results when administered by different clinicians. This represents which psychometric
property?
A. Test-retest reliability
B. Content validity
C. Construct validity
D. Inter-rater reliability
Answer: D
Conceptual Explanation: Inter-rater reliability measures the degree of agreement or
consistency between different observers or raters who are assessing the same
phenomenon.
4. When conducting a Power Analysis, which four elements are typically interrelated?
A. Alpha, Power, Effect Size, and Sample Size
, B. Mean, Median, Mode, and Range
C. Validity, Reliability, Objectivity, and Bias
D. P-value, Confidence Interval, Z-score, and T-score
Answer: A
Conceptual Explanation: Power analysis relates the significance level (alpha), the
probability of detecting an effect (power), the magnitude of the effect in the population
(effect size), and the number of subjects (sample size).
5. A researcher commits a Type II error when they:
A. Fail to reject a false null hypothesis.
B. Reject a true null hypothesis.
C. Correctly identify a treatment effect.
D. Incorrectly assume a normal distribution.
Answer: A
Conceptual Explanation: A Type II error (beta) occurs when the researcher fails to reject
a null hypothesis that is actually false, essentially missing a true finding.
6. In the hierarchy of evidence, which of the following is considered the highest level of
evidence for clinical decision-making?
A. Case-control studies
B. Expert opinion and consensus reports
STUDY GUIDE QUESTIONS & VERIFIED
ANSWERS | UNIVERSITY OF SOUTH
CAROLINA | GUARANTEE PASS
1. In a quantitative research study, the researcher sets the alpha level at 0.05. If the resulting
p-value is 0.03, what is the most appropriate statistical conclusion?
A. Fail to reject the null hypothesis; the results are not statistically significant.
B. Reject the null hypothesis; there is a statistically significant difference.
C. Accept the null hypothesis; the results are highly significant.
D. The test lacks sufficient power to make a determination.
Answer: B
Conceptual Explanation: When the p-value is less than the predetermined alpha level
(0.05), the researcher rejects the null hypothesis, indicating that the findings are
statistically significant and unlikely to have occurred by chance.
2. Which statistical test is most appropriate for comparing the means of a continuous
dependent variable across three or more independent groups?
A. Independent t-test
B. One-way ANOVA
,C. Chi-square test
D. Pearson correlation
Answer: B
Conceptual Explanation: Analysis of Variance (ANOVA) is used to determine if there are
statistically significant differences between the means of three or more independent
groups. A t-test is limited to two groups.
3. A DNP student is evaluating a new screening tool. The tool consistently yields the same
results when administered by different clinicians. This represents which psychometric
property?
A. Test-retest reliability
B. Content validity
C. Construct validity
D. Inter-rater reliability
Answer: D
Conceptual Explanation: Inter-rater reliability measures the degree of agreement or
consistency between different observers or raters who are assessing the same
phenomenon.
4. When conducting a Power Analysis, which four elements are typically interrelated?
A. Alpha, Power, Effect Size, and Sample Size
, B. Mean, Median, Mode, and Range
C. Validity, Reliability, Objectivity, and Bias
D. P-value, Confidence Interval, Z-score, and T-score
Answer: A
Conceptual Explanation: Power analysis relates the significance level (alpha), the
probability of detecting an effect (power), the magnitude of the effect in the population
(effect size), and the number of subjects (sample size).
5. A researcher commits a Type II error when they:
A. Fail to reject a false null hypothesis.
B. Reject a true null hypothesis.
C. Correctly identify a treatment effect.
D. Incorrectly assume a normal distribution.
Answer: A
Conceptual Explanation: A Type II error (beta) occurs when the researcher fails to reject
a null hypothesis that is actually false, essentially missing a true finding.
6. In the hierarchy of evidence, which of the following is considered the highest level of
evidence for clinical decision-making?
A. Case-control studies
B. Expert opinion and consensus reports
