NURS 5366 Module 6 Exam V2 | NURS
5366 Principles of Research in Nursing |
Actual Q&A with Rationale (NURS5366
Module 6 Exam) | The University of Texas
at Arlington
1. A researcher is testing a new intervention to reduce hypertension. What is the statement
that predicts there will be no difference between the experimental and control groups?
A. The directional hypothesis
B. The research hypothesis
C. The null hypothesis
D. The alternative hypothesis
Answer: C
Rationale: The null hypothesis represents the formal statement that no relationship or
difference exists between the study variables. It is the hypothesis that is statistically tested
to determine if findings are likely due to chance. Researchers generally aim to reject this
hypothesis in favor of the alternative.
2. In statistical testing, the alpha level is typically set at 0.05. What does this value represent?
A. The probability of a Type II error
B. The effect size of the intervention
,C. The power of the statistical test
D. The probability of committing a Type I error
Answer: D
Rationale: The probability of committing a Type I error is defined by the alpha level set by
the researcher before data collection. This value indicates the 5% risk that the researcher
will reject a true null hypothesis. It serves as the threshold for determining statistical
significance.
3. If a study result is reported as p = 0.02 with an alpha of 0.05, how should the nurse
researcher interpret this finding?
A. The results are not statistically significant
B. The results are statistically significant
C. The null hypothesis should be accepted
D. There is a 20% chance the results are random
Answer: B
Rationale: The results are statistically significant because the p-value is less than the
predetermined alpha level of 0.05. This finding suggests that the observed effect is unlikely
to have occurred by chance alone. Consequently, the researcher should reject the null
hypothesis.
, 4. Which error occurs when a researcher fails to reject a null hypothesis that is actually false?
A. Type I error
B. Systematic error
C. Sampling error
D. Type II error
Answer: D
Rationale: Type II error represents a ‘false negative’ where the researcher misses a
significant effect that truly exists. This often happens when the sample size is too small to
provide adequate statistical power. It is denoted by the Greek letter beta.
5. A researcher categorizes participants based on their religion (e.g., Catholic, Protestant,
Jewish). What level of measurement is being used?
A. Nominal
B. Ordinal
C. Interval
D. Ratio
Answer: A
Rationale: Nominal measurement is the lowest level of measurement, involving the
assignment of data into mutually exclusive categories. These categories do not have a
5366 Principles of Research in Nursing |
Actual Q&A with Rationale (NURS5366
Module 6 Exam) | The University of Texas
at Arlington
1. A researcher is testing a new intervention to reduce hypertension. What is the statement
that predicts there will be no difference between the experimental and control groups?
A. The directional hypothesis
B. The research hypothesis
C. The null hypothesis
D. The alternative hypothesis
Answer: C
Rationale: The null hypothesis represents the formal statement that no relationship or
difference exists between the study variables. It is the hypothesis that is statistically tested
to determine if findings are likely due to chance. Researchers generally aim to reject this
hypothesis in favor of the alternative.
2. In statistical testing, the alpha level is typically set at 0.05. What does this value represent?
A. The probability of a Type II error
B. The effect size of the intervention
,C. The power of the statistical test
D. The probability of committing a Type I error
Answer: D
Rationale: The probability of committing a Type I error is defined by the alpha level set by
the researcher before data collection. This value indicates the 5% risk that the researcher
will reject a true null hypothesis. It serves as the threshold for determining statistical
significance.
3. If a study result is reported as p = 0.02 with an alpha of 0.05, how should the nurse
researcher interpret this finding?
A. The results are not statistically significant
B. The results are statistically significant
C. The null hypothesis should be accepted
D. There is a 20% chance the results are random
Answer: B
Rationale: The results are statistically significant because the p-value is less than the
predetermined alpha level of 0.05. This finding suggests that the observed effect is unlikely
to have occurred by chance alone. Consequently, the researcher should reject the null
hypothesis.
, 4. Which error occurs when a researcher fails to reject a null hypothesis that is actually false?
A. Type I error
B. Systematic error
C. Sampling error
D. Type II error
Answer: D
Rationale: Type II error represents a ‘false negative’ where the researcher misses a
significant effect that truly exists. This often happens when the sample size is too small to
provide adequate statistical power. It is denoted by the Greek letter beta.
5. A researcher categorizes participants based on their religion (e.g., Catholic, Protestant,
Jewish). What level of measurement is being used?
A. Nominal
B. Ordinal
C. Interval
D. Ratio
Answer: A
Rationale: Nominal measurement is the lowest level of measurement, involving the
assignment of data into mutually exclusive categories. These categories do not have a
