NURS 5366 Module 5 Exam V2 | NURS
5366 Principles of Research in Nursing |
Actual Q&A with Rationale (NURS5366
Module 5 Exam) | The University of Texas
at Arlington
1. A researcher is studying the effect of a new pain management protocol and categorizes
patients as ‘Recovered,’ ‘Improving,’ or ‘Stable.’ Which level of measurement does this
represent?
A. Nominal
B. Ratio
C. Interval
D. Ordinal
Answer: D
Rationale: The level of measurement is Ordinal because the categories have a logical rank
or order. Unlike nominal data, there is a relative standing, but the distance between
categories is not mathematically equal. This classification is common in clinical
assessments where degrees of improvement are noted.
2. Which statistical test is most appropriate when a researcher wants to compare the mean
blood pressure of two independent groups of hypertensive patients?
A. Chi-square
,B. Pearson’s r
C. ANOVA
D. Independent t-test
Answer: D
Rationale: An Independent t-test is used to compare the means of two distinct, unrelated
groups. In this scenario, the blood pressure readings are continuous data, fitting the
requirements for a parametric t-test. If there were three or more groups, ANOVA would be
the correct choice instead.
3. When a researcher reports a Cronbach’s alpha of 0.85 for a newly developed tool, what
does this value indicate regarding the instrument?
A. High validity
B. Low measurement error
C. High internal consistency reliability
D. Strong stability over time
Answer: C
Rationale: A Cronbach’s alpha of 0.85 indicates High internal consistency reliability,
suggesting that the items in the tool are measuring the same construct. Typically, a value
above 0.70 is considered acceptable for new instruments, while 0.80 or higher is preferred
, for established ones. This statistic evaluates how well individual items correlate with the
total score.
4. A researcher incorrectly rejects a null hypothesis that is actually true. What type of error
has occurred?
A. Sampling error
B. Type II error
C. Type I error
D. Standard error
Answer: C
Rationale: A Type I error occurs when the researcher concludes there is a significant effect
when, in reality, there is none. This is often referred to as a ‘false positive’ in hypothesis
testing. The probability of making this error is denoted by the alpha level, usually set at
0.05.
5. Which of the following describes the purpose of a power analysis in quantitative research?
A. To determine the significance of the p-value
B. To calculate the effect size
C. To control for confounding variables
D. To determine the necessary sample size
Answer: D
5366 Principles of Research in Nursing |
Actual Q&A with Rationale (NURS5366
Module 5 Exam) | The University of Texas
at Arlington
1. A researcher is studying the effect of a new pain management protocol and categorizes
patients as ‘Recovered,’ ‘Improving,’ or ‘Stable.’ Which level of measurement does this
represent?
A. Nominal
B. Ratio
C. Interval
D. Ordinal
Answer: D
Rationale: The level of measurement is Ordinal because the categories have a logical rank
or order. Unlike nominal data, there is a relative standing, but the distance between
categories is not mathematically equal. This classification is common in clinical
assessments where degrees of improvement are noted.
2. Which statistical test is most appropriate when a researcher wants to compare the mean
blood pressure of two independent groups of hypertensive patients?
A. Chi-square
,B. Pearson’s r
C. ANOVA
D. Independent t-test
Answer: D
Rationale: An Independent t-test is used to compare the means of two distinct, unrelated
groups. In this scenario, the blood pressure readings are continuous data, fitting the
requirements for a parametric t-test. If there were three or more groups, ANOVA would be
the correct choice instead.
3. When a researcher reports a Cronbach’s alpha of 0.85 for a newly developed tool, what
does this value indicate regarding the instrument?
A. High validity
B. Low measurement error
C. High internal consistency reliability
D. Strong stability over time
Answer: C
Rationale: A Cronbach’s alpha of 0.85 indicates High internal consistency reliability,
suggesting that the items in the tool are measuring the same construct. Typically, a value
above 0.70 is considered acceptable for new instruments, while 0.80 or higher is preferred
, for established ones. This statistic evaluates how well individual items correlate with the
total score.
4. A researcher incorrectly rejects a null hypothesis that is actually true. What type of error
has occurred?
A. Sampling error
B. Type II error
C. Type I error
D. Standard error
Answer: C
Rationale: A Type I error occurs when the researcher concludes there is a significant effect
when, in reality, there is none. This is often referred to as a ‘false positive’ in hypothesis
testing. The probability of making this error is denoted by the alpha level, usually set at
0.05.
5. Which of the following describes the purpose of a power analysis in quantitative research?
A. To determine the significance of the p-value
B. To calculate the effect size
C. To control for confounding variables
D. To determine the necessary sample size
Answer: D
