WGU D514 Analytical Methods for Healthcare
Leadership Comprehensive Examination,
Western Governors University, 2026/2027 –
100-Question Healthcare Analytics and
Leadership Examination
SECTION 1: RESEARCH METHODS AND STUDY DESIGNS (Questions 1-
20)
Q1. The quality improvement team is reviewing quarterly incident
reports and evaluating the effect of Six Sigma strategies on the
quantity of medication errors over the past two years. The team
hypothesizes a continuous reduction in medical errors for each
quarter. Which research method should be used to test the team's
hypothesis?
A) Cross-Sectional
B) Pretest-posttest
C) Randomized Control Trial
D) Time-Series
Answer: D. Time-Series
Rationale: A time-series design involves collecting data at multiple time
points before and after an intervention . Since the team has quarterly
incident reports over two years and wants to evaluate continuous reduction
trends, time-series analysis is appropriate for detecting patterns and
changes over time. Cross-sectional studies capture data at a single point,
pretest-posttest has only two measurement points, and RCTs require random
assignment which is not described here.
Q2. A hospital researcher has access to one year of hospital
emergency department claims data. The researcher is investigating
the association of race on the timeliness of delivery of care. Which
research method should be used?
,A) Time-Series
B) Cross-Sectional
C) Pretest-posttest
D) Randomized Control Trial
Answer: B. Cross-Sectional
Rationale: Cross-sectional studies analyze data collected at a single point in
time to examine associations between variables . This method is appropriate
when the researcher has existing claims data from one year and wants to
investigate the relationship between race and timeliness of care without
manipulating variables . Time-series requires multiple time points, RCTs
require intervention assignment, and pretest-posttest requires before-after
measurements.
Q3. A policy analyst is interested in determining if the prospective
payment system (PPS) has improved hospital efficiency over time
during the past ten years. Which research method should the
analyst use?
A) Time-Series
B) Cross-Sectional
C) Pretest-posttest
D) Randomized Control Trial
Answer: A. Time-Series
Rationale: Time-series analysis examines trends over time, making it ideal
for evaluating the impact of a policy change (PPS) on hospital efficiency
measures collected over ten years . This design allows the analyst to detect
patterns, trends, and changes before and after policy implementation across
multiple time points.
Q4. Many physician practices now utilize an electronic health record
(EHR) system with secure messaging. Some practices conduct
virtual visits between people with diabetes and certified diabetes
educators. After six months, the results of blood glucose levels for
the group participating in virtual visits were evaluated. Which
research method was used?
,A) Time-series
B) Clinical trial
C) Pretest-posttest
D) Cross-sectional
Answer: D. Cross-sectional
Rationale: This study evaluated blood glucose levels after six months
without a baseline comparison, making it cross-sectional . While the study
involves an intervention (virtual visits), there is no pretest measurement or
control group described. The evaluation occurs at a single point in time (after
six months), which characterizes a cross-sectional study design.
Q5. A researcher wants to determine whether continuity of care is
improved with the use of coordination of care documents. The
researcher decides to review various published studies to assess
the clinical effectiveness of these documents. Which research
method is being used?
A) Case study
B) Cohort study
C) Meta-analysis
D) Literature review
Answer: C. Meta-analysis
Rationale: Meta-analysis involves systematically reviewing and statistically
combining results from multiple published studies to draw conclusions about
effectiveness . A literature review might summarize findings without
statistical combination, but meta-analysis specifically refers to the
quantitative synthesis of evidence from multiple studies. This approach is
appropriate for assessing clinical effectiveness of interventions.
Q6. The state public health researcher wants to begin a five-year
initiative to coordinate immunizations for children in the foster care
system. The results will be compared to previous years to measure
the effectiveness of the initiative. Which research method should be
used?
A) Case study
B) Cohort study
, C) Longitudinal study
D) Pre/post-study
Answer: D. Pre/post-study
Rationale: A pre/post-study design compares outcomes before and after an
intervention . This method is appropriate when the researcher wants to
measure the effectiveness of the immunization initiative by comparing
results from previous years (pre) with outcomes during/following the five-
year initiative (post). While the initiative spans five years, making it
longitudinal, the specific design focused on comparing pre and post periods
is best described as a pre/post-study.
Q7. Which type of data analysis could be used in quantitative
research?
A) Reporting the gender of participants
B) Ranking the severity order with 1 as the worst and 4 as the best
C) Reporting the distribution of results or outcomes
D) Using categorical variables with 0=no and 1=yes
Answer: C. Reporting the distribution of results or outcomes
Rationale: Quantitative research focuses on numerical data and statistical
analysis. Reporting distributions of results or outcomes (e.g., means,
medians, frequencies, percentages) is a core component of quantitative data
analysis . While the other options may involve numbers, they represent data
types or coding approaches rather than analytical techniques.
Q8. What is a characteristic of qualitative research methods?
A) Utilizes large sample sizes
B) Determines causal relationships
C) Generalizes results to the population
D) Introduces subjectivity to data collection
Answer: D. Introduces subjectivity to data collection
Rationale: Qualitative research methods involve subjective interpretation of
data, such as themes, patterns, and meanings derived from interviews,
observations, or text analysis . Unlike quantitative methods, qualitative
approaches do not typically use large sample sizes (A), determine causal
Leadership Comprehensive Examination,
Western Governors University, 2026/2027 –
100-Question Healthcare Analytics and
Leadership Examination
SECTION 1: RESEARCH METHODS AND STUDY DESIGNS (Questions 1-
20)
Q1. The quality improvement team is reviewing quarterly incident
reports and evaluating the effect of Six Sigma strategies on the
quantity of medication errors over the past two years. The team
hypothesizes a continuous reduction in medical errors for each
quarter. Which research method should be used to test the team's
hypothesis?
A) Cross-Sectional
B) Pretest-posttest
C) Randomized Control Trial
D) Time-Series
Answer: D. Time-Series
Rationale: A time-series design involves collecting data at multiple time
points before and after an intervention . Since the team has quarterly
incident reports over two years and wants to evaluate continuous reduction
trends, time-series analysis is appropriate for detecting patterns and
changes over time. Cross-sectional studies capture data at a single point,
pretest-posttest has only two measurement points, and RCTs require random
assignment which is not described here.
Q2. A hospital researcher has access to one year of hospital
emergency department claims data. The researcher is investigating
the association of race on the timeliness of delivery of care. Which
research method should be used?
,A) Time-Series
B) Cross-Sectional
C) Pretest-posttest
D) Randomized Control Trial
Answer: B. Cross-Sectional
Rationale: Cross-sectional studies analyze data collected at a single point in
time to examine associations between variables . This method is appropriate
when the researcher has existing claims data from one year and wants to
investigate the relationship between race and timeliness of care without
manipulating variables . Time-series requires multiple time points, RCTs
require intervention assignment, and pretest-posttest requires before-after
measurements.
Q3. A policy analyst is interested in determining if the prospective
payment system (PPS) has improved hospital efficiency over time
during the past ten years. Which research method should the
analyst use?
A) Time-Series
B) Cross-Sectional
C) Pretest-posttest
D) Randomized Control Trial
Answer: A. Time-Series
Rationale: Time-series analysis examines trends over time, making it ideal
for evaluating the impact of a policy change (PPS) on hospital efficiency
measures collected over ten years . This design allows the analyst to detect
patterns, trends, and changes before and after policy implementation across
multiple time points.
Q4. Many physician practices now utilize an electronic health record
(EHR) system with secure messaging. Some practices conduct
virtual visits between people with diabetes and certified diabetes
educators. After six months, the results of blood glucose levels for
the group participating in virtual visits were evaluated. Which
research method was used?
,A) Time-series
B) Clinical trial
C) Pretest-posttest
D) Cross-sectional
Answer: D. Cross-sectional
Rationale: This study evaluated blood glucose levels after six months
without a baseline comparison, making it cross-sectional . While the study
involves an intervention (virtual visits), there is no pretest measurement or
control group described. The evaluation occurs at a single point in time (after
six months), which characterizes a cross-sectional study design.
Q5. A researcher wants to determine whether continuity of care is
improved with the use of coordination of care documents. The
researcher decides to review various published studies to assess
the clinical effectiveness of these documents. Which research
method is being used?
A) Case study
B) Cohort study
C) Meta-analysis
D) Literature review
Answer: C. Meta-analysis
Rationale: Meta-analysis involves systematically reviewing and statistically
combining results from multiple published studies to draw conclusions about
effectiveness . A literature review might summarize findings without
statistical combination, but meta-analysis specifically refers to the
quantitative synthesis of evidence from multiple studies. This approach is
appropriate for assessing clinical effectiveness of interventions.
Q6. The state public health researcher wants to begin a five-year
initiative to coordinate immunizations for children in the foster care
system. The results will be compared to previous years to measure
the effectiveness of the initiative. Which research method should be
used?
A) Case study
B) Cohort study
, C) Longitudinal study
D) Pre/post-study
Answer: D. Pre/post-study
Rationale: A pre/post-study design compares outcomes before and after an
intervention . This method is appropriate when the researcher wants to
measure the effectiveness of the immunization initiative by comparing
results from previous years (pre) with outcomes during/following the five-
year initiative (post). While the initiative spans five years, making it
longitudinal, the specific design focused on comparing pre and post periods
is best described as a pre/post-study.
Q7. Which type of data analysis could be used in quantitative
research?
A) Reporting the gender of participants
B) Ranking the severity order with 1 as the worst and 4 as the best
C) Reporting the distribution of results or outcomes
D) Using categorical variables with 0=no and 1=yes
Answer: C. Reporting the distribution of results or outcomes
Rationale: Quantitative research focuses on numerical data and statistical
analysis. Reporting distributions of results or outcomes (e.g., means,
medians, frequencies, percentages) is a core component of quantitative data
analysis . While the other options may involve numbers, they represent data
types or coding approaches rather than analytical techniques.
Q8. What is a characteristic of qualitative research methods?
A) Utilizes large sample sizes
B) Determines causal relationships
C) Generalizes results to the population
D) Introduces subjectivity to data collection
Answer: D. Introduces subjectivity to data collection
Rationale: Qualitative research methods involve subjective interpretation of
data, such as themes, patterns, and meanings derived from interviews,
observations, or text analysis . Unlike quantitative methods, qualitative
approaches do not typically use large sample sizes (A), determine causal
