NR-505 ADVANCED RESEARCH EXAM 2 QUESTIONS AND CORRECT ANSWERS (VERIFIED ANSWERS) PLUS
RATIONALES 2026 Q&A |LATEST EXAM UPDATE 2026/2027 Chamberlain University.
Core Domains:
Research Design and Methodology
Quantitative and Qualitative Analysis
Evidence-Based Practice (EBP) Translation
Ethical and Legal Considerations in Research
Measurement, Validity, and Reliability
Sampling Strategies and Generalizability
Data Collection and Interpretation
Dissemination and Translation of Evidence
Grant Writing and Funding Research
Role of the DNP in Research and Scholarship
Introduction
,This comprehensive examination is designed to assess the advanced practice nurse's knowledge and skills in
conducting, interpreting, and translating research. It evaluates foundational theories of research design, rigorous
application of quantitative and qualitative methods, and the integration of evidence into clinical practice. The
exam emphasizes real-world decision-making, ethical conduct, and the dissemination of findings to improve
patient outcomes. Questions are presented in multiple-choice and scenario-based formats, requiring critical
application of knowledge to complex clinical and administrative situations. Successful completion demonstrates
readiness for advanced scholarly practice.
SECTION ONE: QUESTIONS 1 – 100
1. A researcher is planning a study to evaluate the effectiveness of a new telehealth intervention for managing
hypertension in rural populations. Which research design would be most appropriate to establish causality?
A. Cross-sectional study
B. Quasi-experimental design
C. Correlational study
D. Case-control study
🟢 B. Quasi-experimental design
🔴 RATIONALE: A quasi-experimental design is the most appropriate choice when random assignment is not
feasible, but the researcher still aims to establish a causal relationship between the intervention and the
outcome. Cross-sectional studies (A) examine relationships at a single point, correlational studies (C) only
identify associations, and case-control studies (D) are retrospective. Quasi-experimental designs allow for the
,manipulation of an independent variable while controlling for confounding variables, which is essential for
establishing causality in a real-world setting.
2. When reviewing a study, the nurse researcher notes that the sample size was determined by a power analysis.
What is the primary purpose of this analysis?
A. To ensure that the study has a sufficient number of participants to detect a statistically significant difference
B. To guarantee that the study findings are generalizable to the entire population
C. To eliminate the possibility of a Type I error
D. To ensure that the measurement tools are valid and reliable
🟢 A. To ensure that the study has a sufficient number of participants to detect a statistically significant
difference
🔴 RATIONALE: Power analysis is a statistical method used to determine the minimum sample size needed to
detect a true effect of a given size with a certain level of confidence (power). Its primary purpose is to ensure
the study is adequately powered to detect a statistically significant difference if one exists, thereby reducing the
risk of a Type II error. While a larger sample can improve generalizability (B), that is not the primary purpose of
power analysis. It does not eliminate Type I error (C), which is controlled by the alpha level, nor does it address
validity and reliability (D).
3. A nurse is conducting a focus group to explore the experiences of family caregivers of patients with
dementia. Which type of data analysis will most likely be used for this data?
A. Descriptive statistics
B. Thematic analysis
, C. Inferential statistics
D. Meta-analysis
🟢 B. Thematic analysis
🔴 RATIONALE: Thematic analysis is a qualitative data analysis method used to identify, analyze, and report
patterns (themes) within data. It is the most appropriate choice for analyzing data from focus groups, which
generate rich, narrative data about participants' experiences and perspectives. Descriptive statistics (A) and
inferential statistics (C) are used for quantitative data. Meta-analysis (D) is a statistical technique for combining
the results of multiple quantitative studies.
4. A researcher is developing a questionnaire to measure patient satisfaction. Which step is crucial to establish
the content validity of the instrument?
A. Conducting a pilot study with a small sample
B. Calculating the Cronbach’s alpha coefficient
C. Having the instrument reviewed by a panel of experts in the field
D. Correlating the scores with another established satisfaction scale
🟢 C. Having the instrument reviewed by a panel of experts in the field
🔴 RATIONALE: Content validity refers to the extent to which the items of a measurement instrument
adequately represent the entire domain of the concept being measured. A panel of experts is the primary
method for establishing content validity. They evaluate whether the items are relevant, clear, and
comprehensive. A pilot study (A) can assess feasibility and clarity, Cronbach's alpha (B) assesses internal
consistency reliability, and correlation with another scale (D) assesses criterion-related validity, not content
validity.
RATIONALES 2026 Q&A |LATEST EXAM UPDATE 2026/2027 Chamberlain University.
Core Domains:
Research Design and Methodology
Quantitative and Qualitative Analysis
Evidence-Based Practice (EBP) Translation
Ethical and Legal Considerations in Research
Measurement, Validity, and Reliability
Sampling Strategies and Generalizability
Data Collection and Interpretation
Dissemination and Translation of Evidence
Grant Writing and Funding Research
Role of the DNP in Research and Scholarship
Introduction
,This comprehensive examination is designed to assess the advanced practice nurse's knowledge and skills in
conducting, interpreting, and translating research. It evaluates foundational theories of research design, rigorous
application of quantitative and qualitative methods, and the integration of evidence into clinical practice. The
exam emphasizes real-world decision-making, ethical conduct, and the dissemination of findings to improve
patient outcomes. Questions are presented in multiple-choice and scenario-based formats, requiring critical
application of knowledge to complex clinical and administrative situations. Successful completion demonstrates
readiness for advanced scholarly practice.
SECTION ONE: QUESTIONS 1 – 100
1. A researcher is planning a study to evaluate the effectiveness of a new telehealth intervention for managing
hypertension in rural populations. Which research design would be most appropriate to establish causality?
A. Cross-sectional study
B. Quasi-experimental design
C. Correlational study
D. Case-control study
🟢 B. Quasi-experimental design
🔴 RATIONALE: A quasi-experimental design is the most appropriate choice when random assignment is not
feasible, but the researcher still aims to establish a causal relationship between the intervention and the
outcome. Cross-sectional studies (A) examine relationships at a single point, correlational studies (C) only
identify associations, and case-control studies (D) are retrospective. Quasi-experimental designs allow for the
,manipulation of an independent variable while controlling for confounding variables, which is essential for
establishing causality in a real-world setting.
2. When reviewing a study, the nurse researcher notes that the sample size was determined by a power analysis.
What is the primary purpose of this analysis?
A. To ensure that the study has a sufficient number of participants to detect a statistically significant difference
B. To guarantee that the study findings are generalizable to the entire population
C. To eliminate the possibility of a Type I error
D. To ensure that the measurement tools are valid and reliable
🟢 A. To ensure that the study has a sufficient number of participants to detect a statistically significant
difference
🔴 RATIONALE: Power analysis is a statistical method used to determine the minimum sample size needed to
detect a true effect of a given size with a certain level of confidence (power). Its primary purpose is to ensure
the study is adequately powered to detect a statistically significant difference if one exists, thereby reducing the
risk of a Type II error. While a larger sample can improve generalizability (B), that is not the primary purpose of
power analysis. It does not eliminate Type I error (C), which is controlled by the alpha level, nor does it address
validity and reliability (D).
3. A nurse is conducting a focus group to explore the experiences of family caregivers of patients with
dementia. Which type of data analysis will most likely be used for this data?
A. Descriptive statistics
B. Thematic analysis
, C. Inferential statistics
D. Meta-analysis
🟢 B. Thematic analysis
🔴 RATIONALE: Thematic analysis is a qualitative data analysis method used to identify, analyze, and report
patterns (themes) within data. It is the most appropriate choice for analyzing data from focus groups, which
generate rich, narrative data about participants' experiences and perspectives. Descriptive statistics (A) and
inferential statistics (C) are used for quantitative data. Meta-analysis (D) is a statistical technique for combining
the results of multiple quantitative studies.
4. A researcher is developing a questionnaire to measure patient satisfaction. Which step is crucial to establish
the content validity of the instrument?
A. Conducting a pilot study with a small sample
B. Calculating the Cronbach’s alpha coefficient
C. Having the instrument reviewed by a panel of experts in the field
D. Correlating the scores with another established satisfaction scale
🟢 C. Having the instrument reviewed by a panel of experts in the field
🔴 RATIONALE: Content validity refers to the extent to which the items of a measurement instrument
adequately represent the entire domain of the concept being measured. A panel of experts is the primary
method for establishing content validity. They evaluate whether the items are relevant, clear, and
comprehensive. A pilot study (A) can assess feasibility and clarity, Cronbach's alpha (B) assesses internal
consistency reliability, and correlation with another scale (D) assesses criterion-related validity, not content
validity.
