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WGU D514 ANALYTICAL METHODS
OF HEALTHCARE LEADERS
OBJECTIVE ASSESSMENT (OA)
PRACTICE EXAMINATION
150+ VERIFIED QUESTIONS &
ANSWERS WITH EXPERT
RATIONALES
UPDATED FOR 2026-2027
SECTION 1: RESEARCH
METHODOLOGY AND DATA TYPES
(Questions 1-25)
Question 1
A healthcare leader is reviewing a study that
analyzes numeric data to draw conclusions
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and make inferences about patient outcomes.
This type of research is known as:
A) Qualitative Research
B) Quantitative Research
C) Mixed Methods Research
D) Phenomenological Research
Answer: B) Quantitative Research
Rationale: Quantitative research involves
the analysis of numeric data using statistical
methods to draw conclusions and make
inferences. This type of research focuses on
variables and aims to measure and quantify
relationships between variables, providing
numerical insights. Qualitative research (A)
focuses on non-numeric data like interviews
and observations. Mixed methods (C)
combines both approaches.
Phenomenological research (D) is a
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qualitative method studying lived
experiences .
Question 2
A hospital administrator is reviewing patient
satisfaction data measured on a Likert scale
from "Very Dissatisfied" to "Very
Satisfied." This type of data is best
described as:
A) Nominal Data
B) Ordinal Data
C) Interval Data
D) Ratio Data
Answer: B) Ordinal Data
Rationale: Ordinal data represents
categories that have a meaningful order or
ranking but do not have consistent intervals
between values. Patient satisfaction surveys
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using Likert scales are classic examples of
ordinal data in healthcare. The word means
to "put in order," and it can be measured as
a frequency. Ordinal data is essential for
comparing data across systems, especially
among patient populations . Nominal data
(A) has no inherent order (e.g., gender,
race). Interval (C) and ratio (D) data have
meaningful numerical differences.
Question 3
Which of the following is an example of
nominal data in healthcare?
A) Patient age in years
B) Body mass index (BMI) categories
C) Patient's blood type (A, B, AB, O)
D) Pain score on a 0-10 scale
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WGU D514 ANALYTICAL METHODS
OF HEALTHCARE LEADERS
OBJECTIVE ASSESSMENT (OA)
PRACTICE EXAMINATION
150+ VERIFIED QUESTIONS &
ANSWERS WITH EXPERT
RATIONALES
UPDATED FOR 2026-2027
SECTION 1: RESEARCH
METHODOLOGY AND DATA TYPES
(Questions 1-25)
Question 1
A healthcare leader is reviewing a study that
analyzes numeric data to draw conclusions
Page | 1
, Page 2 of 160
and make inferences about patient outcomes.
This type of research is known as:
A) Qualitative Research
B) Quantitative Research
C) Mixed Methods Research
D) Phenomenological Research
Answer: B) Quantitative Research
Rationale: Quantitative research involves
the analysis of numeric data using statistical
methods to draw conclusions and make
inferences. This type of research focuses on
variables and aims to measure and quantify
relationships between variables, providing
numerical insights. Qualitative research (A)
focuses on non-numeric data like interviews
and observations. Mixed methods (C)
combines both approaches.
Phenomenological research (D) is a
Page | 2
, Page 3 of 160
qualitative method studying lived
experiences .
Question 2
A hospital administrator is reviewing patient
satisfaction data measured on a Likert scale
from "Very Dissatisfied" to "Very
Satisfied." This type of data is best
described as:
A) Nominal Data
B) Ordinal Data
C) Interval Data
D) Ratio Data
Answer: B) Ordinal Data
Rationale: Ordinal data represents
categories that have a meaningful order or
ranking but do not have consistent intervals
between values. Patient satisfaction surveys
Page | 3
, Page 4 of 160
using Likert scales are classic examples of
ordinal data in healthcare. The word means
to "put in order," and it can be measured as
a frequency. Ordinal data is essential for
comparing data across systems, especially
among patient populations . Nominal data
(A) has no inherent order (e.g., gender,
race). Interval (C) and ratio (D) data have
meaningful numerical differences.
Question 3
Which of the following is an example of
nominal data in healthcare?
A) Patient age in years
B) Body mass index (BMI) categories
C) Patient's blood type (A, B, AB, O)
D) Pain score on a 0-10 scale
Page | 4
