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UGC NET Exam  >  UGC NET Tests  >  Test: Sources, Acquisition and Classification of Data - UGC NET MCQ

Test: Sources, Acquisition and Classification of Data - UGC NET MCQ


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20 Questions MCQ Test - Test: Sources, Acquisition and Classification of Data

Test: Sources, Acquisition and Classification of Data for UGC NET 2024 is part of UGC NET preparation. The Test: Sources, Acquisition and Classification of Data questions and answers have been prepared according to the UGC NET exam syllabus.The Test: Sources, Acquisition and Classification of Data MCQs are made for UGC NET 2024 Exam. Find important definitions, questions, notes, meanings, examples, exercises, MCQs and online tests for Test: Sources, Acquisition and Classification of Data below.
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Test: Sources, Acquisition and Classification of Data - Question 1
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What term describes data that are measurable and typically expressed in numerical form?

Detailed Solution for Test: Sources, Acquisition and Classification of Data - Question 1
Quantitative data are numerical and measurable, allowing for mathematical calculations and statistical analysis. This type of data includes variables like height, weight, income, and test scores, providing precise information that can be used to quantify relationships, trends, and patterns in research and analysis.
Test: Sources, Acquisition and Classification of Data - Question 2
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Which method of data collection involves systematic recording and interpretation of behaviors, events, or phenomena in their natural settings?

Detailed Solution for Test: Sources, Acquisition and Classification of Data - Question 2
Observations involve systematically recording behaviors, events, or phenomena as they occur in real-world settings. This method allows researchers to gather qualitative insights by observing and documenting natural behaviors without manipulating variables, providing rich contextual information for analysis.
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Test: Sources, Acquisition and Classification of Data - Question 3
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What type of data classification organizes data based on numerical variables to facilitate statistical analysis?

Detailed Solution for Test: Sources, Acquisition and Classification of Data - Question 3
Quantitative classification organizes data based on numerical variables, enabling statistical analysis and measurement. It categorizes data into discrete groups or intervals defined by numerical values, facilitating comparisons, trend analysis, and making statistical inferences.
Test: Sources, Acquisition and Classification of Data - Question 4
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Which type of data is directly collected by researchers from original sources to address specific research objectives?
Detailed Solution for Test: Sources, Acquisition and Classification of Data - Question 4
Primary data is collected firsthand by researchers from original sources to address specific research objectives. This data is directly relevant and tailored to the research needs, ensuring authenticity and enabling researchers to control data collection methods and processes.
Test: Sources, Acquisition and Classification of Data - Question 5
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What is the main advantage of using secondary data in research?
Detailed Solution for Test: Sources, Acquisition and Classification of Data - Question 5

Secondary data is cost-effective because it is already collected and available from existing sources such as government publications, academic journals, or industry reports. Researchers can access a broad scope of information without the time and resources required for primary data collection.

Test: Sources, Acquisition and Classification of Data - Question 6
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Which data acquisition method involves reviewing existing academic journals, books, and publications to gather relevant data?
Detailed Solution for Test: Sources, Acquisition and Classification of Data - Question 6
A literature review involves reviewing existing academic journals, books, and publications to gather relevant data and insights. It helps researchers identify existing knowledge gaps, theoretical frameworks, and findings from previous studies related to their research topic.
Test: Sources, Acquisition and Classification of Data - Question 7
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What is the purpose of security classification in data management?
Detailed Solution for Test: Sources, Acquisition and Classification of Data - Question 7
Security classification categorizes data based on its sensitivity to ensure appropriate protection measures are applied. It aims to safeguard data integrity, confidentiality, and availability, addressing potential risks associated with unauthorized access, disclosure, or manipulation.
Test: Sources, Acquisition and Classification of Data - Question 8
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Which type of data classification categorizes data based on attributes or qualities to capture subjective experiences?
Detailed Solution for Test: Sources, Acquisition and Classification of Data - Question 8
Qualitative classification categorizes data based on attributes or qualities to capture subjective experiences, behaviors, or descriptive categories. It focuses on understanding meanings, perceptions, and contexts that influence human behavior and decision-making.
Test: Sources, Acquisition and Classification of Data - Question 9
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What is the key challenge associated with secondary data use in research?
Detailed Solution for Test: Sources, Acquisition and Classification of Data - Question 9
Assessing the authenticity of secondary data sources is crucial because the data is collected for purposes other than the researcher's specific objectives. Researchers need to verify the reliability, validity, and currency of secondary data to ensure it aligns with their research needs.
Test: Sources, Acquisition and Classification of Data - Question 10
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Which method of data collection involves administering structured questionnaires or interviews to gather responses directly from respondents?
Detailed Solution for Test: Sources, Acquisition and Classification of Data - Question 10
Surveys involve administering structured questionnaires or interviews to gather responses directly from respondents. This method allows researchers to collect quantitative or qualitative data by asking specific questions related to their research objectives.
Test: Sources, Acquisition and Classification of Data - Question 11
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What advantage does primary data offer over secondary data in research?
Detailed Solution for Test: Sources, Acquisition and Classification of Data - Question 11
Primary data offers authenticity because it is collected firsthand by researchers to address specific research objectives. This ensures data accuracy and relevance, enabling researchers to directly control data collection methods and processes.
Test: Sources, Acquisition and Classification of Data - Question 12
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Which data classification method is essential for making quantitative comparisons and statistical inferences?
Detailed Solution for Test: Sources, Acquisition and Classification of Data - Question 12
Quantitative classification organizes data into measurable units based on numerical variables, facilitating statistical analysis, trend identification, and making quantitative comparisons across different groups or variables.
Test: Sources, Acquisition and Classification of Data - Question 13
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What is the primary benefit of using qualitative data classification in research?
Detailed Solution for Test: Sources, Acquisition and Classification of Data - Question 13
Qualitative data classification captures subjective experiences, behaviors, or descriptive categories, providing rich contextual insights and understanding. It focuses on exploring meanings, perceptions, and social phenomena that influence human behavior and decision-making.
Test: Sources, Acquisition and Classification of Data - Question 14
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Which classification method categorizes data based on its sensitivity and potential impact if compromised?
Detailed Solution for Test: Sources, Acquisition and Classification of Data - Question 14
Security classification categorizes data based on its sensitivity to ensure appropriate protection measures are applied, safeguarding data integrity, confidentiality, and availability.
Test: Sources, Acquisition and Classification of Data - Question 15
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What challenge is associated with primary data collection?
Detailed Solution for Test: Sources, Acquisition and Classification of Data - Question 15
Primary data collection can be costly in terms of time, effort, and financial resources required to conduct surveys, experiments, or interviews to gather firsthand data.
Test: Sources, Acquisition and Classification of Data - Question 16
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Which of the following is not a source of secondary data?
Detailed Solution for Test: Sources, Acquisition and Classification of Data - Question 16

- Secondary data refers to data that has already been collected and published by others.
- Option A: Census reports and government publications - These are secondary data sources as they are collected by government agencies and made available to the public.
- Option B: Surveys conducted directly by researchers - These are primary data sources, as the data is collected firsthand by researchers.
- Option C: Academic journals and peer-reviewed articles - These are secondary sources, containing analyses of primary data.
- Option D: Historical records and archival documents - These are considered secondary sources, as they provide data collected in the past.

Thus, the correct answer is B: Surveys conducted directly by researchers, as it is primary data.

Test: Sources, Acquisition and Classification of Data - Question 17
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What is the benefit of using secondary data compared to primary data in research?
Detailed Solution for Test: Sources, Acquisition and Classification of Data - Question 17

Secondary data is cost-effective because it is already collected and available from existing sources such as government publications, academic journals, or industry reports.

Test: Sources, Acquisition and Classification of Data - Question 18
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Why is data acquisition important in research?
Detailed Solution for Test: Sources, Acquisition and Classification of Data - Question 18

- Data acquisition is crucial in research because:
- Validating Theories: It provides evidence to support or refute theoretical frameworks.
- Measuring Outcomes: It enables researchers to quantify results and draw meaningful conclusions.
- Evidence-Based Practices: It forms the foundation for making informed and effective decisions.
- Therefore, the correct answer is B: It helps in validating theories and measuring outcomes, as it highlights the role of data in confirming hypotheses and supporting empirical research.

Test: Sources, Acquisition and Classification of Data - Question 19
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Which method of data collection involves reviewing existing academic journals and books to gather relevant data?
Detailed Solution for Test: Sources, Acquisition and Classification of Data - Question 19
A literature review involves reviewing existing academic journals and books to gather relevant data and insights related to a specific research topic or area of study. It helps researchers identify existing knowledge gaps and theoretical frameworks to inform their research design and objectives.
Test: Sources, Acquisition and Classification of Data - Question 20
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Why is data acquisition considered crucial for evidence-based practices?
Detailed Solution for Test: Sources, Acquisition and Classification of Data - Question 20

- Data acquisition is crucial for evidence-based practices because it provides the raw material for analysis and interpretation.
- Collecting accurate and comprehensive data allows researchers and practitioners to make informed decisions based on empirical evidence.
- Good data acquisition supports the development of reliable conclusions, enhances the validity of research findings, and guides effective decision-making.
- It is foundational for identifying patterns, verifying hypotheses, and implementing effective interventions across various fields.

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