EDRS 659 QUIZ 1 | QUESTIONS
AND ANSWERS | 2026 UPDATED |
100% CORREC
LATEST MOCK PRACTICE SET
150 Questions with Answers and Detailed Rationales
100 PERCENT GUARANTEED PASS
INSTANT DOWNLOAD ANSWERS INCLUDED
IMPORTANCE OF THIS DOCUMENT
This comprehensive examination preparation guide has been meticulously developed to help you succeed in the
EDRS 659 QUIZ 1 | QUESTIONS AND ANSWERS | 2026 UPDATED | 100% CORREC. It contains 150 carefully
selected questions that reflect the most current exam content and testing strategies. Each question is
accompanied by a correct answer and a detailed rationale that explains the underlying pathophysiology,
pharmacology, or clinical reasoning.
Self-Assessment – Test your knowledge and Exam Preparation – Familiarize yourself with the
identify areas requiring further question format and content
study areas
Concept Reinforcement – Deepen your Confidence Building – Develop test-taking
understanding through strategies and reduce
evidence-based exam anxiety
rationales
Time Management – Practice answering
questions under simulated
exam conditions
Review Summary 150 Questions
Foundations - Application - EDRS 659 1 AND 2026 Updated 100 Correc Research Methods AND Statistics
IN Education Graduate
All answers with rationales
,Table of Contents
Content Area Questions Key Topics
Introduction TO Educational 1-25 Design, Researcher, Model, Treatment, Appropriate
Research
Research Problems AND 26-50 Researcher, Model, Analysis, Effect, Factor
Literature Review AND 51-75 Researcher, Effect, Appropriate, Model, Design
Theoretical Frameworks
Research Ethics AND IRB 76-100 Researcher, Model, Analysis, Appropriate, Effect
Quantitative Research 101-125 Researcher, Analysis, Significant, Study, Appropriate
Designs
Qualitative Research Designs 126-150 Researcher, Model, Interpretation, Interval, Analysis
TOTAL 150 All questions include answers and detailed rationales
,Section A - Introduction TO Educational Research
Q1.
In a cluster-randomized trial evaluating a new reading intervention, schools are randomly
assigned to treatment or control. Which design element is most critical to preserve the
integrity of the random assignment?
A. Using a pretest-posttest control group B. Concealing allocation from the research
design with matching on school size team until after baseline data collection
C. Analyzing data at the student level while D. Allowing schools to choose their
ignoring the clustered structure condition after consenting to participate
Correct: B - Concealing allocation from the research team until after baseline data
collection
Rationale:Concealing allocation prevents selection bias and ensures that random assignment
is not undermined by foreknowledge. Matching (A) reduces but does not replace
randomization; analyzing at student level (C) inflates Type I error; self-selection (D) destroys
randomization.
Q2.
A researcher develops a 10-item scale to measure student self-efficacy. Cronbach's alpha
is 0.82. Which additional analysis provides the strongest evidence for construct validity?
A. Test-retest reliability with a two-week B. Confirmatory factor analysis showing a
interval unidimensional structure
C. Criterion-related validity with a related but D. Inter-rater reliability between two
distinct measure independent coders
Correct: B - Confirmatory factor analysis showing a unidimensional structure
Rationale:Confirmatory factor analysis tests the hypothesized factor structure, providing
evidence for internal structure, a key aspect of construct validity. Test-retest (A) assesses
stability; criterion-related (C) is a form of validity but not as strong for internal structure;
inter-rater (D) is irrelevant to self-report scales.
Q3.
In a regression analysis predicting student achievement, the variance inflation factor (VIF)
for 'socioeconomic status' is 8.5. What is the most appropriate interpretation?
A. Socioeconomic status is not significantly B. The standard error for the socioeconomic
related to achievement status coefficient is inflated due to
multicollinearity
Page 3
, Section A - Introduction TO Educational Research
C. The model explains 8.5% of the variance D. Socioeconomic status has a suppressor
in achievement effect on other predictors
Correct: B - The standard error for the socioeconomic status coefficient is inflated due to
multicollinearity
Rationale:A VIF above 5-10 indicates high multicollinearity, which inflates the variance of the
coefficient estimate, making it unstable. It does not imply non-significance (A), explain
variance (C), or indicate suppression (D).
Q4.
A mixed-methods study uses a sequential explanatory design. Which integration
approach best aligns with this design?
A. Collecting qualitative data first to inform B. Using quantitative results to select
the quantitative instrument participants for the qualitative phase
C. Conducting qualitative and quantitative D. Embedding a qualitative component
phases concurrently and merging data within a larger experimental trial
Correct: B - Using quantitative results to select participants for the qualitative phase
Rationale:Sequential explanatory design involves quantitative data collection and analysis
first, followed by qualitative data to explain or elaborate on the quantitative findings. Using
quantitative results to select participants for qualitative follow-up is a hallmark of this design.
Option A describes exploratory sequential; C is convergent; D is embedded.
Q5.
In a program evaluation using a difference-in-differences design, the key identifying
assumption is:
A. The treatment and control groups have B. The outcome trends for treatment and
identical baseline characteristics control groups would have been parallel in
the absence of treatment
C. There is no spillover effect from D. The treatment is randomly assigned
treatment to control group across groups
Correct: B - The outcome trends for treatment and control groups would have been
parallel in the absence of treatment
Rationale:The parallel trends assumption is essential: without treatment, the average
outcomes for both groups would follow the same trajectory. Baseline equality (A) is not
required; no spillover (C) is important but not the identifying assumption; randomization (D) is
not typically present in DID.
Page 4
AND ANSWERS | 2026 UPDATED |
100% CORREC
LATEST MOCK PRACTICE SET
150 Questions with Answers and Detailed Rationales
100 PERCENT GUARANTEED PASS
INSTANT DOWNLOAD ANSWERS INCLUDED
IMPORTANCE OF THIS DOCUMENT
This comprehensive examination preparation guide has been meticulously developed to help you succeed in the
EDRS 659 QUIZ 1 | QUESTIONS AND ANSWERS | 2026 UPDATED | 100% CORREC. It contains 150 carefully
selected questions that reflect the most current exam content and testing strategies. Each question is
accompanied by a correct answer and a detailed rationale that explains the underlying pathophysiology,
pharmacology, or clinical reasoning.
Self-Assessment – Test your knowledge and Exam Preparation – Familiarize yourself with the
identify areas requiring further question format and content
study areas
Concept Reinforcement – Deepen your Confidence Building – Develop test-taking
understanding through strategies and reduce
evidence-based exam anxiety
rationales
Time Management – Practice answering
questions under simulated
exam conditions
Review Summary 150 Questions
Foundations - Application - EDRS 659 1 AND 2026 Updated 100 Correc Research Methods AND Statistics
IN Education Graduate
All answers with rationales
,Table of Contents
Content Area Questions Key Topics
Introduction TO Educational 1-25 Design, Researcher, Model, Treatment, Appropriate
Research
Research Problems AND 26-50 Researcher, Model, Analysis, Effect, Factor
Literature Review AND 51-75 Researcher, Effect, Appropriate, Model, Design
Theoretical Frameworks
Research Ethics AND IRB 76-100 Researcher, Model, Analysis, Appropriate, Effect
Quantitative Research 101-125 Researcher, Analysis, Significant, Study, Appropriate
Designs
Qualitative Research Designs 126-150 Researcher, Model, Interpretation, Interval, Analysis
TOTAL 150 All questions include answers and detailed rationales
,Section A - Introduction TO Educational Research
Q1.
In a cluster-randomized trial evaluating a new reading intervention, schools are randomly
assigned to treatment or control. Which design element is most critical to preserve the
integrity of the random assignment?
A. Using a pretest-posttest control group B. Concealing allocation from the research
design with matching on school size team until after baseline data collection
C. Analyzing data at the student level while D. Allowing schools to choose their
ignoring the clustered structure condition after consenting to participate
Correct: B - Concealing allocation from the research team until after baseline data
collection
Rationale:Concealing allocation prevents selection bias and ensures that random assignment
is not undermined by foreknowledge. Matching (A) reduces but does not replace
randomization; analyzing at student level (C) inflates Type I error; self-selection (D) destroys
randomization.
Q2.
A researcher develops a 10-item scale to measure student self-efficacy. Cronbach's alpha
is 0.82. Which additional analysis provides the strongest evidence for construct validity?
A. Test-retest reliability with a two-week B. Confirmatory factor analysis showing a
interval unidimensional structure
C. Criterion-related validity with a related but D. Inter-rater reliability between two
distinct measure independent coders
Correct: B - Confirmatory factor analysis showing a unidimensional structure
Rationale:Confirmatory factor analysis tests the hypothesized factor structure, providing
evidence for internal structure, a key aspect of construct validity. Test-retest (A) assesses
stability; criterion-related (C) is a form of validity but not as strong for internal structure;
inter-rater (D) is irrelevant to self-report scales.
Q3.
In a regression analysis predicting student achievement, the variance inflation factor (VIF)
for 'socioeconomic status' is 8.5. What is the most appropriate interpretation?
A. Socioeconomic status is not significantly B. The standard error for the socioeconomic
related to achievement status coefficient is inflated due to
multicollinearity
Page 3
, Section A - Introduction TO Educational Research
C. The model explains 8.5% of the variance D. Socioeconomic status has a suppressor
in achievement effect on other predictors
Correct: B - The standard error for the socioeconomic status coefficient is inflated due to
multicollinearity
Rationale:A VIF above 5-10 indicates high multicollinearity, which inflates the variance of the
coefficient estimate, making it unstable. It does not imply non-significance (A), explain
variance (C), or indicate suppression (D).
Q4.
A mixed-methods study uses a sequential explanatory design. Which integration
approach best aligns with this design?
A. Collecting qualitative data first to inform B. Using quantitative results to select
the quantitative instrument participants for the qualitative phase
C. Conducting qualitative and quantitative D. Embedding a qualitative component
phases concurrently and merging data within a larger experimental trial
Correct: B - Using quantitative results to select participants for the qualitative phase
Rationale:Sequential explanatory design involves quantitative data collection and analysis
first, followed by qualitative data to explain or elaborate on the quantitative findings. Using
quantitative results to select participants for qualitative follow-up is a hallmark of this design.
Option A describes exploratory sequential; C is convergent; D is embedded.
Q5.
In a program evaluation using a difference-in-differences design, the key identifying
assumption is:
A. The treatment and control groups have B. The outcome trends for treatment and
identical baseline characteristics control groups would have been parallel in
the absence of treatment
C. There is no spillover effect from D. The treatment is randomly assigned
treatment to control group across groups
Correct: B - The outcome trends for treatment and control groups would have been
parallel in the absence of treatment
Rationale:The parallel trends assumption is essential: without treatment, the average
outcomes for both groups would follow the same trajectory. Baseline equality (A) is not
required; no spillover (C) is important but not the identifying assumption; randomization (D) is
not typically present in DID.
Page 4
