1. What type of data analysis is emphasized in SCARN? a) Only
qualitative analysis
B. Only statistical analysis
C. Mixed-methods analysis
D. Non-statistical visual analysis
Answer: c) Mixed-methods analysis
Rationale: SCARN promotes the use of mixed-methods analysis,
incorporating both qualitative and quantitative approaches to derive
comprehensive insights.
2. How does SCARN handle data diversity? a) It uses data
triangulation methods
B. It only uses one type of data
C. It focuses on qualitative data exclusively
D. It ignores diverse data sources
Answer: a) It uses data triangulation methods
Rationale: SCARN leverages data triangulation to ensure a
comprehensive understanding of the research problem by integrating
multiple data types and sources.
3. What is a common feature of research designs in SCARN?
,A. Focus on only one data type
B. Flexibility and adaptability based on ongoing findings
C. Complete reliance on existing theories
D. Non-structured approach to data collection
Answer: b) Flexibility and adaptability based on ongoing findings
Rationale: SCARN encourages a flexible approach to research design,
allowing researchers to adapt based on the ongoing analysis and
emerging findings.
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. In SCARN, what is the role of hypothesis testing? a) To determine
the researcher's bias
B. To validate theoretical concepts
C. To establish a research design
, D. To reject existing theories
Answer: b) To validate theoretical concepts
Rationale: Hypothesis testing in SCARN is used to validate the
researcher's assumptions and theoretical constructs, providing
empirical evidence for or against them.
6. What is the role of secondary data in SCARN research?
A. It is not used at all
B. It is used to validate primary data and provide context
C. It is only used in qualitative studies
D. It is used as the sole data source
Answer: b) It is used to validate primary data and provide context
Rationale: Secondary data in SCARN is often used alongside primary
data to contextualize findings, validate results, and ensure a
comprehensive analysis.
7. Which of the following is essential for maintaining the integrity of
the research process in SCARN?
A. Using only the most popular data collection methods
B. Transparent reporting of methodologies and results
C. Limiting the scope of the research question
D. Avoiding any use of mixed-methods
Answer: b) Transparent reporting of methodologies and results
qualitative analysis
B. Only statistical analysis
C. Mixed-methods analysis
D. Non-statistical visual analysis
Answer: c) Mixed-methods analysis
Rationale: SCARN promotes the use of mixed-methods analysis,
incorporating both qualitative and quantitative approaches to derive
comprehensive insights.
2. How does SCARN handle data diversity? a) It uses data
triangulation methods
B. It only uses one type of data
C. It focuses on qualitative data exclusively
D. It ignores diverse data sources
Answer: a) It uses data triangulation methods
Rationale: SCARN leverages data triangulation to ensure a
comprehensive understanding of the research problem by integrating
multiple data types and sources.
3. What is a common feature of research designs in SCARN?
,A. Focus on only one data type
B. Flexibility and adaptability based on ongoing findings
C. Complete reliance on existing theories
D. Non-structured approach to data collection
Answer: b) Flexibility and adaptability based on ongoing findings
Rationale: SCARN encourages a flexible approach to research design,
allowing researchers to adapt based on the ongoing analysis and
emerging findings.
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. In SCARN, what is the role of hypothesis testing? a) To determine
the researcher's bias
B. To validate theoretical concepts
C. To establish a research design
, D. To reject existing theories
Answer: b) To validate theoretical concepts
Rationale: Hypothesis testing in SCARN is used to validate the
researcher's assumptions and theoretical constructs, providing
empirical evidence for or against them.
6. What is the role of secondary data in SCARN research?
A. It is not used at all
B. It is used to validate primary data and provide context
C. It is only used in qualitative studies
D. It is used as the sole data source
Answer: b) It is used to validate primary data and provide context
Rationale: Secondary data in SCARN is often used alongside primary
data to contextualize findings, validate results, and ensure a
comprehensive analysis.
7. Which of the following is essential for maintaining the integrity of
the research process in SCARN?
A. Using only the most popular data collection methods
B. Transparent reporting of methodologies and results
C. Limiting the scope of the research question
D. Avoiding any use of mixed-methods
Answer: b) Transparent reporting of methodologies and results
