NUR 505 - ADVANCED NURSING
RESEARCH EXAM 3 QUESTIONS AND
CORRECT ANSWERS WITH DETAILED
EXPLANATIONS
1. A researcher is evaluating the stability of a new measurement tool over time. Which type
of reliability is being assessed?
A. Inter-rater reliability
B. Equivalence reliability
C. Internal consistency
D. Test-retest reliability
Answer: D
Conceptual Explanation: Test-retest reliability involves administering the same
instrument to the same subjects under similar conditions at two different times to assess
stability.
2. In statistical hypothesis testing, what does a Type I error represent?
A. Accepting a false null hypothesis
B. Correctly rejecting a false null hypothesis
C. Failing to reject a false null hypothesis
,D. Rejecting a true null hypothesis
Answer: D
Conceptual Explanation: A Type I error occurs when the researcher rejects the null
hypothesis when it is actually true (a false positive).
3. Which level of measurement allows for the ranking of data but lacks equal intervals
between values?
A. Ordinal
B. Ratio
C. Nominal
D. Interval
Answer: A
Conceptual Explanation: Ordinal measurement categories can be ranked in order, but the
distance between the ranks is not necessarily equal or known.
4. A Cronbach’s alpha coefficient of 0.85 indicates which of the following regarding a research
instrument?
A. Poor stability
B. High internal consistency
C. Low construct validity
D. High inter-rater reliability
, Answer: B
Conceptual Explanation: Cronbach’s alpha measures internal consistency. A value of 0.80
or higher is generally considered to indicate strong internal consistency for a clinical tool.
5. Which statistical test is most appropriate for comparing the means of two independent
groups on a continuous dependent variable?
A. Chi-square
B. Independent samples t-test
C. Pearson’s r
D. One-way ANOVA
Answer: B
Conceptual Explanation: An independent samples t-test is used to determine if there is a
significant difference between the means of two unrelated groups.
6. What is the primary purpose of a power analysis in quantitative research?
A. To determine the level of significance
B. To calculate the effect size
C. To estimate the required sample size
D. To control for extraneous variables
Answer: C
RESEARCH EXAM 3 QUESTIONS AND
CORRECT ANSWERS WITH DETAILED
EXPLANATIONS
1. A researcher is evaluating the stability of a new measurement tool over time. Which type
of reliability is being assessed?
A. Inter-rater reliability
B. Equivalence reliability
C. Internal consistency
D. Test-retest reliability
Answer: D
Conceptual Explanation: Test-retest reliability involves administering the same
instrument to the same subjects under similar conditions at two different times to assess
stability.
2. In statistical hypothesis testing, what does a Type I error represent?
A. Accepting a false null hypothesis
B. Correctly rejecting a false null hypothesis
C. Failing to reject a false null hypothesis
,D. Rejecting a true null hypothesis
Answer: D
Conceptual Explanation: A Type I error occurs when the researcher rejects the null
hypothesis when it is actually true (a false positive).
3. Which level of measurement allows for the ranking of data but lacks equal intervals
between values?
A. Ordinal
B. Ratio
C. Nominal
D. Interval
Answer: A
Conceptual Explanation: Ordinal measurement categories can be ranked in order, but the
distance between the ranks is not necessarily equal or known.
4. A Cronbach’s alpha coefficient of 0.85 indicates which of the following regarding a research
instrument?
A. Poor stability
B. High internal consistency
C. Low construct validity
D. High inter-rater reliability
, Answer: B
Conceptual Explanation: Cronbach’s alpha measures internal consistency. A value of 0.80
or higher is generally considered to indicate strong internal consistency for a clinical tool.
5. Which statistical test is most appropriate for comparing the means of two independent
groups on a continuous dependent variable?
A. Chi-square
B. Independent samples t-test
C. Pearson’s r
D. One-way ANOVA
Answer: B
Conceptual Explanation: An independent samples t-test is used to determine if there is a
significant difference between the means of two unrelated groups.
6. What is the primary purpose of a power analysis in quantitative research?
A. To determine the level of significance
B. To calculate the effect size
C. To estimate the required sample size
D. To control for extraneous variables
Answer: C
