Page 1 of 53
CALIFORNIA RESEARCH DATA SPECIALIST
(RDS) 2026 EXAMINATION COMPLETE (120)
CURRENT TESTING QUESTIONS AND
CORRECT ANSWERS WITH DETAILED
EXPLANATIONS|GUARANTEED PASS.
RDS
Prepare for the California Research Data Specialist (RDS)
Examination with practice questions covering covers the full scope
of competencies required for RDS I certification: research design,
data collection and quality control, statistical analysis, data integrity
and security, data management. Designed to improve technical
understanding and boost confidence in handling research data and
reporting tasks. Suitable for research, data analysis, and public
sector professionals.
MULTIPLE CHOICE.
SECTION 1: RESEARCH DESIGN AND STRATEGY (QUESTIONS
1–15)
1. What is the first step in designing a research strategy to
address a programmatic question?
A) Collect the data
B) Formulate a clear, answerable research question
C) Choose a statistical software package
D) Publish the findings
, Page 2 of 53
Answer: B. Formulate a clear, answerable research question
Explanation: A well-defined research question guides every
subsequent decision, including study design, data collection,
and analysis methods. Without a clear question, research lacks
direction.
2. A researcher wants to study the impact of a new state
policy on employment rates. Which type of research design
is most appropriate?
A) Cross-sectional study
B) Longitudinal study (measuring employment before and after
policy implementation)
C) Case study
D) Meta-analysis
Answer: B. Longitudinal study
Explanation: A longitudinal design measures the same
variables over time, allowing the researcher to observe changes
before and after the policy takes effect. This is essential for
causal inference in policy evaluation.
3. Which of the following is a key element of a research
proposal?
A) Literature review, research question, methodology, timeline,
and budget
B) Only the statistical analysis plan
C) Only the data collection instrument
D) Only the list of references
Answer: A. Literature review, research question,
, Page 3 of 53
methodology, timeline, and budget
Explanation: A complete research proposal provides the
rationale, design, and feasibility of a study. It includes
background, objectives, methods, timeline, and resource
requirements.
4. A researcher is designing a study to evaluate program
outcomes. The “counterfactual” in evaluation research
refers to:
A) The group that receives the intervention
B) What would have happened to the program participants in
the absence of the program
C) The statistical power of the study
D) The variable being measured
Answer: B. What would have happened to the program
participants in the absence of the program
Explanation: The counterfactual is the outcome that would
have occurred without the intervention. It is the basis for
estimating the causal effect of a program.
5. A research strategy that involves combining multiple
qualitative and quantitative methods in a single study is
known as:
A) Mixed-methods design
B) Longitudinal design
C) Experimental design
D) Secondary data analysis
Answer: A. Mixed-methods design
, Page 4 of 53
Explanation: Mixed-methods research integrates both
qualitative and quantitative approaches to provide a more
comprehensive understanding of a research problem.
6. Which research design is best suited for determining
causation?
A) Cross-sectional survey
B) Randomized controlled trial (RCT)
C) Case study
D) Correlational study
Answer: B. Randomized controlled trial (RCT)
Explanation: Randomization minimizes confounding and
selection bias, allowing the strongest inference of causality.
RCTs are the gold standard for testing causal relationships.
7. A researcher examines a single case (e.g., one city that
implemented a new policy) in great depth. This approach is
a(n):
A) Cross-sectional study
B) Case study
C) Experimental design
D) Longitudinal study
Answer: B. Case study
Explanation: A case study provides an in-depth analysis of a
single individual, group, or event. It is useful for generating
hypotheses but not for generalizing to larger populations.
8. The term “external validity” refers to:
A) The accuracy of the measurement tools
CALIFORNIA RESEARCH DATA SPECIALIST
(RDS) 2026 EXAMINATION COMPLETE (120)
CURRENT TESTING QUESTIONS AND
CORRECT ANSWERS WITH DETAILED
EXPLANATIONS|GUARANTEED PASS.
RDS
Prepare for the California Research Data Specialist (RDS)
Examination with practice questions covering covers the full scope
of competencies required for RDS I certification: research design,
data collection and quality control, statistical analysis, data integrity
and security, data management. Designed to improve technical
understanding and boost confidence in handling research data and
reporting tasks. Suitable for research, data analysis, and public
sector professionals.
MULTIPLE CHOICE.
SECTION 1: RESEARCH DESIGN AND STRATEGY (QUESTIONS
1–15)
1. What is the first step in designing a research strategy to
address a programmatic question?
A) Collect the data
B) Formulate a clear, answerable research question
C) Choose a statistical software package
D) Publish the findings
, Page 2 of 53
Answer: B. Formulate a clear, answerable research question
Explanation: A well-defined research question guides every
subsequent decision, including study design, data collection,
and analysis methods. Without a clear question, research lacks
direction.
2. A researcher wants to study the impact of a new state
policy on employment rates. Which type of research design
is most appropriate?
A) Cross-sectional study
B) Longitudinal study (measuring employment before and after
policy implementation)
C) Case study
D) Meta-analysis
Answer: B. Longitudinal study
Explanation: A longitudinal design measures the same
variables over time, allowing the researcher to observe changes
before and after the policy takes effect. This is essential for
causal inference in policy evaluation.
3. Which of the following is a key element of a research
proposal?
A) Literature review, research question, methodology, timeline,
and budget
B) Only the statistical analysis plan
C) Only the data collection instrument
D) Only the list of references
Answer: A. Literature review, research question,
, Page 3 of 53
methodology, timeline, and budget
Explanation: A complete research proposal provides the
rationale, design, and feasibility of a study. It includes
background, objectives, methods, timeline, and resource
requirements.
4. A researcher is designing a study to evaluate program
outcomes. The “counterfactual” in evaluation research
refers to:
A) The group that receives the intervention
B) What would have happened to the program participants in
the absence of the program
C) The statistical power of the study
D) The variable being measured
Answer: B. What would have happened to the program
participants in the absence of the program
Explanation: The counterfactual is the outcome that would
have occurred without the intervention. It is the basis for
estimating the causal effect of a program.
5. A research strategy that involves combining multiple
qualitative and quantitative methods in a single study is
known as:
A) Mixed-methods design
B) Longitudinal design
C) Experimental design
D) Secondary data analysis
Answer: A. Mixed-methods design
, Page 4 of 53
Explanation: Mixed-methods research integrates both
qualitative and quantitative approaches to provide a more
comprehensive understanding of a research problem.
6. Which research design is best suited for determining
causation?
A) Cross-sectional survey
B) Randomized controlled trial (RCT)
C) Case study
D) Correlational study
Answer: B. Randomized controlled trial (RCT)
Explanation: Randomization minimizes confounding and
selection bias, allowing the strongest inference of causality.
RCTs are the gold standard for testing causal relationships.
7. A researcher examines a single case (e.g., one city that
implemented a new policy) in great depth. This approach is
a(n):
A) Cross-sectional study
B) Case study
C) Experimental design
D) Longitudinal study
Answer: B. Case study
Explanation: A case study provides an in-depth analysis of a
single individual, group, or event. It is useful for generating
hypotheses but not for generalizing to larger populations.
8. The term “external validity” refers to:
A) The accuracy of the measurement tools
