1. What is the significance of a clear research question in SCARN
methodology?
A. It simplifies the data collection process
B. It guides the direction of the research and ensures focus
C. It eliminates the need for hypothesis testing
D. It allows for broader generalizations
Answer: b) It guides the direction of the research and ensures focus
Rationale: A clear research question is fundamental in SCARN as it
shapes the study design, guides data collection, and keeps the research
focused and relevant.
2. What does the 'Research Design' section in SCARN typically
include? a) Conclusions and suggestions
B. Theoretical frameworks and methodologies
C. Data interpretation
D. Summary of past studies
Answer: b) Theoretical frameworks and methodologies
Rationale: The Research Design section outlines the theoretical
frameworks and research methods that will guide the study, ensuring
clarity in data collection and analysis.
,3. How does SCARN support the development of research
recommendations?
A. By solely relying on the researcher's opinion
B. By using evidence from the research findings and existing literature
C. By avoiding empirical evidence
D. By limiting the scope of the study to a single perspective
Answer: b) By using evidence from the research findings and existing
literature
Rationale: SCARN supports evidence-based recommendations that
integrate both research findings and insights from existing literature,
ensuring they are grounded in solid data.
4. Which statistical tool is frequently used in SCARN research for data
analysis? a) SPSS
B. Excel only
C. Tableau
D. R programming
Answer: a) SPSS
Rationale: SPSS is widely used in SCARN for its ability to handle
complex statistical analyses and present results in a user-friendly
format.
5. How does SCARN ensure that research findings are generalizable?
, A. By using a small, homogeneous sample
B. By using statistical tools to analyze only the largest dataset
C. By applying random sampling and ensuring representative diversity
D. By focusing exclusively on qualitative methods
Answer: c) By applying random sampling and ensuring representative
diversity
Rationale: SCARN ensures the generalizability of findings by using
random sampling, which increases the likelihood that the sample
accurately represents the target population.
6. How is the SCARN methodology structured in terms of its stages? a)
Linear approach
B. Circular approach
C. Modular approach
D. Random approach
Answer: a) Linear approach
Rationale: SCARN follows a linear sequence of stages, starting with a
literature review and ending with conclusions and recommendations,
ensuring clarity and logical progression.
7. How does SCARN handle data presentation in research findings?
A. Data is presented only in narrative form
B. It includes both visual tools (graphs, tables) and textual explanations
methodology?
A. It simplifies the data collection process
B. It guides the direction of the research and ensures focus
C. It eliminates the need for hypothesis testing
D. It allows for broader generalizations
Answer: b) It guides the direction of the research and ensures focus
Rationale: A clear research question is fundamental in SCARN as it
shapes the study design, guides data collection, and keeps the research
focused and relevant.
2. What does the 'Research Design' section in SCARN typically
include? a) Conclusions and suggestions
B. Theoretical frameworks and methodologies
C. Data interpretation
D. Summary of past studies
Answer: b) Theoretical frameworks and methodologies
Rationale: The Research Design section outlines the theoretical
frameworks and research methods that will guide the study, ensuring
clarity in data collection and analysis.
,3. How does SCARN support the development of research
recommendations?
A. By solely relying on the researcher's opinion
B. By using evidence from the research findings and existing literature
C. By avoiding empirical evidence
D. By limiting the scope of the study to a single perspective
Answer: b) By using evidence from the research findings and existing
literature
Rationale: SCARN supports evidence-based recommendations that
integrate both research findings and insights from existing literature,
ensuring they are grounded in solid data.
4. Which statistical tool is frequently used in SCARN research for data
analysis? a) SPSS
B. Excel only
C. Tableau
D. R programming
Answer: a) SPSS
Rationale: SPSS is widely used in SCARN for its ability to handle
complex statistical analyses and present results in a user-friendly
format.
5. How does SCARN ensure that research findings are generalizable?
, A. By using a small, homogeneous sample
B. By using statistical tools to analyze only the largest dataset
C. By applying random sampling and ensuring representative diversity
D. By focusing exclusively on qualitative methods
Answer: c) By applying random sampling and ensuring representative
diversity
Rationale: SCARN ensures the generalizability of findings by using
random sampling, which increases the likelihood that the sample
accurately represents the target population.
6. How is the SCARN methodology structured in terms of its stages? a)
Linear approach
B. Circular approach
C. Modular approach
D. Random approach
Answer: a) Linear approach
Rationale: SCARN follows a linear sequence of stages, starting with a
literature review and ending with conclusions and recommendations,
ensuring clarity and logical progression.
7. How does SCARN handle data presentation in research findings?
A. Data is presented only in narrative form
B. It includes both visual tools (graphs, tables) and textual explanations