1
WGU C224 RESEARCH FOUNDATIONS – 250 COMPLEX
SCENARIO-BASED PRACTICE EXAM QUESTIONS WITH
VERIFIED ANSWERS AND DETAILED RATIONALES
Question 1: A high school principal notices that sophomore students in
advanced placement courses consistently outperform their peers in standard
courses on the state standardized exam. However, she is uncertain whether
this difference is due to the advanced curriculum itself or due to pre-existing
differences in student motivation and ability. She decides to conduct a study
comparing AP and non-AP students while statistically controlling for prior
GPA and motivation scores. Which type of research is she conducting?
A. Experimental research
B. Causal-comparative research
C. Correlational research
D. Action research
Correct Answer: B
Rationale: Causal-comparative research (also known as ex post facto
research) examines differences between groups that already exist without
manipulation of the independent variable. The principal is comparing two pre-
existing groups (AP and non-AP students) and attempting to control for
confounding variables statistically. Experimental research would require
random assignment and manipulation of the independent variable, which is
not occurring here. Correlational research examines relationships between
variables without comparing groups. Action research focuses on solving local
problems through iterative cycles.
,2
Question 2: A researcher is investigating whether a new mindfulness program
reduces test anxiety among high school students. She randomly assigns 120
students to either a mindfulness group or a waitlist control group. She
measures test anxiety before and after the 8-week program using a validated
anxiety scale. After analyzing the data, she finds a statistically significant
reduction in anxiety for the mindfulness group (p = 0.02, d = 0.45). However,
she also discovers that the mindfulness group had significantly lower anxiety
scores at pretest despite random assignment. What threat to internal validity
should she be most concerned about?
A. History effects
B. Maturation effects
C. Selection bias
D. Testing effects
Correct Answer: C
Rationale: Although random assignment was used, the groups were not
equivalent at pretest, indicating that selection bias may still be a threat.
Random assignment does not guarantee equivalence, especially in smaller
samples. The pretest difference suggests the groups differed systematically
before the intervention. History and maturation would affect both groups
equally. Testing effects would result from repeated testing but would not
explain the pretest difference.
Question 3: A qualitative researcher is studying how first-generation college
students navigate the financial aid process. She conducts in-depth interviews
with 25 students and analyzes the data using open coding, axial coding, and
selective coding. She identifies a core category called "navigating the hidden
curriculum" that explains how students learn to manage financial aid systems
through trial and error, peer networks, and institutional support. Which
qualitative research design is she using?
A. Phenomenology
B. Ethnography
C. Grounded theory
,3
D. Case study
Correct Answer: C
Rationale: Grounded theory uses systematic coding procedures (open, axial,
and selective coding) to develop a theory or core category that explains a
process or phenomenon. The researcher is developing a theory grounded in
the data. Phenomenology focuses on the essence of lived experiences.
Ethnography examines the culture of a group. Case study provides an in-
depth analysis of a bounded system.
Question 4: A researcher is examining the relationship between teacher
burnout and student achievement across 40 elementary schools. She collects
survey data from 500 teachers and achievement data from 10,000 students.
She finds a correlation of r = -0.42 between teacher burnout and student
achievement. What does the coefficient of determination indicate about this
relationship?
A. 42% of the variance in student achievement is explained by teacher
burnout
B. 18% of the variance in student achievement is explained by teacher
burnout
C. 58% of the variance in student achievement is explained by teacher
burnout
D. 84% of the variance in student achievement is explained by teacher
burnout
Correct Answer: B
Rationale: The coefficient of determination (r²) is calculated by squaring the
correlation coefficient. r² = (-0.42)² = 0.1764, or approximately 18%. This
means that 18% of the variance in student achievement is explained by
teacher burnout. The remaining 82% of variance is explained by other factors
, 4
not included in the study. The sign of the correlation does not affect the
coefficient of determination.
Question 5: A researcher is conducting a mixed methods study examining the
implementation of a new STEM curriculum. She first collects quantitative
survey data from 300 teachers about their attitudes toward the curriculum.
Based on the survey results, she then selects 15 teachers with varying levels
of implementation fidelity for in-depth qualitative interviews to understand the
barriers and facilitators they experienced. Which mixed methods design is
she using?
A. Convergent parallel design
B. Explanatory sequential design
C. Exploratory sequential design
D. Embedded design
Correct Answer: B
Rationale: An explanatory sequential design involves collecting quantitative
data first, analyzing the results, and then using qualitative data to explain or
elaborate on the quantitative findings. The researcher collects surveys first,
then selects participants for interviews based on the survey results. A
convergent parallel design collects both types of data simultaneously. An
exploratory sequential design collects qualitative data first. An embedded
design nests one type of data within the other.
Question 6: A researcher is examining whether a new reading intervention is
more effective for students with learning disabilities than for students without
learning disabilities. She randomly assigns 200 students (100 with learning
disabilities, 100 without) to either the treatment or control condition. She finds
a significant interaction effect: the intervention is highly effective for students
with learning disabilities (d = 0.85) but has minimal effect for students without
learning disabilities (d = 0.15). What type of variable is learning disability
status in this study?
A. Independent variable
B. Dependent variable
WGU C224 RESEARCH FOUNDATIONS – 250 COMPLEX
SCENARIO-BASED PRACTICE EXAM QUESTIONS WITH
VERIFIED ANSWERS AND DETAILED RATIONALES
Question 1: A high school principal notices that sophomore students in
advanced placement courses consistently outperform their peers in standard
courses on the state standardized exam. However, she is uncertain whether
this difference is due to the advanced curriculum itself or due to pre-existing
differences in student motivation and ability. She decides to conduct a study
comparing AP and non-AP students while statistically controlling for prior
GPA and motivation scores. Which type of research is she conducting?
A. Experimental research
B. Causal-comparative research
C. Correlational research
D. Action research
Correct Answer: B
Rationale: Causal-comparative research (also known as ex post facto
research) examines differences between groups that already exist without
manipulation of the independent variable. The principal is comparing two pre-
existing groups (AP and non-AP students) and attempting to control for
confounding variables statistically. Experimental research would require
random assignment and manipulation of the independent variable, which is
not occurring here. Correlational research examines relationships between
variables without comparing groups. Action research focuses on solving local
problems through iterative cycles.
,2
Question 2: A researcher is investigating whether a new mindfulness program
reduces test anxiety among high school students. She randomly assigns 120
students to either a mindfulness group or a waitlist control group. She
measures test anxiety before and after the 8-week program using a validated
anxiety scale. After analyzing the data, she finds a statistically significant
reduction in anxiety for the mindfulness group (p = 0.02, d = 0.45). However,
she also discovers that the mindfulness group had significantly lower anxiety
scores at pretest despite random assignment. What threat to internal validity
should she be most concerned about?
A. History effects
B. Maturation effects
C. Selection bias
D. Testing effects
Correct Answer: C
Rationale: Although random assignment was used, the groups were not
equivalent at pretest, indicating that selection bias may still be a threat.
Random assignment does not guarantee equivalence, especially in smaller
samples. The pretest difference suggests the groups differed systematically
before the intervention. History and maturation would affect both groups
equally. Testing effects would result from repeated testing but would not
explain the pretest difference.
Question 3: A qualitative researcher is studying how first-generation college
students navigate the financial aid process. She conducts in-depth interviews
with 25 students and analyzes the data using open coding, axial coding, and
selective coding. She identifies a core category called "navigating the hidden
curriculum" that explains how students learn to manage financial aid systems
through trial and error, peer networks, and institutional support. Which
qualitative research design is she using?
A. Phenomenology
B. Ethnography
C. Grounded theory
,3
D. Case study
Correct Answer: C
Rationale: Grounded theory uses systematic coding procedures (open, axial,
and selective coding) to develop a theory or core category that explains a
process or phenomenon. The researcher is developing a theory grounded in
the data. Phenomenology focuses on the essence of lived experiences.
Ethnography examines the culture of a group. Case study provides an in-
depth analysis of a bounded system.
Question 4: A researcher is examining the relationship between teacher
burnout and student achievement across 40 elementary schools. She collects
survey data from 500 teachers and achievement data from 10,000 students.
She finds a correlation of r = -0.42 between teacher burnout and student
achievement. What does the coefficient of determination indicate about this
relationship?
A. 42% of the variance in student achievement is explained by teacher
burnout
B. 18% of the variance in student achievement is explained by teacher
burnout
C. 58% of the variance in student achievement is explained by teacher
burnout
D. 84% of the variance in student achievement is explained by teacher
burnout
Correct Answer: B
Rationale: The coefficient of determination (r²) is calculated by squaring the
correlation coefficient. r² = (-0.42)² = 0.1764, or approximately 18%. This
means that 18% of the variance in student achievement is explained by
teacher burnout. The remaining 82% of variance is explained by other factors
, 4
not included in the study. The sign of the correlation does not affect the
coefficient of determination.
Question 5: A researcher is conducting a mixed methods study examining the
implementation of a new STEM curriculum. She first collects quantitative
survey data from 300 teachers about their attitudes toward the curriculum.
Based on the survey results, she then selects 15 teachers with varying levels
of implementation fidelity for in-depth qualitative interviews to understand the
barriers and facilitators they experienced. Which mixed methods design is
she using?
A. Convergent parallel design
B. Explanatory sequential design
C. Exploratory sequential design
D. Embedded design
Correct Answer: B
Rationale: An explanatory sequential design involves collecting quantitative
data first, analyzing the results, and then using qualitative data to explain or
elaborate on the quantitative findings. The researcher collects surveys first,
then selects participants for interviews based on the survey results. A
convergent parallel design collects both types of data simultaneously. An
exploratory sequential design collects qualitative data first. An embedded
design nests one type of data within the other.
Question 6: A researcher is examining whether a new reading intervention is
more effective for students with learning disabilities than for students without
learning disabilities. She randomly assigns 200 students (100 with learning
disabilities, 100 without) to either the treatment or control condition. She finds
a significant interaction effect: the intervention is highly effective for students
with learning disabilities (d = 0.85) but has minimal effect for students without
learning disabilities (d = 0.15). What type of variable is learning disability
status in this study?
A. Independent variable
B. Dependent variable
