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NURS 5366 Module 7 Exam V1 | NURS 5366 Principles of Research in Nursing | Actual Q&A with Rationale (NURS5366 Module 7 Exam) | The University of Texas at Arlington

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NURS 5366 Module 7 Exam V1 | NURS 5366 Principles of Research in Nursing | Actual Q&A with Rationale (NURS5366 Module 7 Exam) | The University of Texas at Arlington

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NURS 5366 Module 7 Exam V1 | NURS
5366 Principles of Research in Nursing |
Actual Q&A with Rationale (NURS5366
Module 7 Exam) | The University of Texas
at Arlington
1. In quantitative research, which statistical value represents the probability that the

observed results occurred by chance alone?

A. Cronbach’s alpha


B. p-value


C. Standard deviation


D. Pearson’s r


Answer: B


Rationale: The p-value is the correct answer because it indicates the level of statistical

significance in a hypothesis test. It measures the likelihood of obtaining results as extreme

as those observed, assuming the null hypothesis is true. In nursing research, a p-value of

less than 0.05 is typically used to reject the null hypothesis and support the intervention’s

efficacy.


2. Which level of measurement is used when classifying patients by their primary medical

diagnosis?

A. Ratio

,B. Ordinal


C. Interval


D. Nominal


Answer: D


Rationale: The Nominal scale is the correct answer as it is used for categorization without

any inherent numerical value or rank. Medical diagnoses are mutually exclusive categories

that do not follow a logical order. This level of measurement is fundamental in descriptive

statistics for identifying the characteristics of a study population.


3. A researcher fails to reject the null hypothesis when it is actually false. What type of error

has occurred?

A. Type I error


B. Type II error


C. Sampling error


D. Measurement error


Answer: B


Rationale: A Type II error is the correct answer because it describes a ‘false negative’

where a true difference is missed. This often occurs due to an insufficient sample size,

which reduces the statistical power of the study. Researchers aim to minimize this error to

ensure that effective clinical treatments are not overlooked during data analysis.

, 4. What is the primary purpose of conducting a power analysis before starting a study?

A. To select the statistical software


B. To identify the research question


C. To calculate the mean of the data


D. To determine the required sample size


Answer: D


Rationale: To determine the required sample size is the correct answer as power analysis

helps ensure the study has enough participants to detect an effect if one exists. Adequate

power, usually set at 0.80, reduces the risk of committing a Type II error. This step is

critical during the planning phase of nursing research to justify the resources and time

spent on data collection.


5. Which measure of central tendency is most appropriate for a dataset with significant

outliers?

A. Mean


B. Mode


C. Median


D. Range


Answer: C

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