
Data Preparation and Research Methodology
Quiz
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Other
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Professional Development
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Easy
Arashdeep Kaur
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24 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the purpose of data preparation in research?
To analyze data without any preprocessing steps.
The purpose of data preparation in research is to ensure data quality and suitability for analysis.
To collect data from various sources without validation.
To present data in a visually appealing format.
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Define nominal level of measurement.
The nominal level of measurement involves ranking data in a specific order.
The nominal level of measurement requires numerical values for categorization.
The nominal level of measurement categorizes data without any order or ranking.
The nominal level of measurement is used for continuous data.
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What are the advantages of using sampling in research?
Sampling provides less accurate data than complete surveys.
Sampling increases research costs significantly.
Sampling requires more time than a full census.
Advantages of using sampling in research include cost-effectiveness, time efficiency, easier data collection, and the ability to make inferences about a larger population.
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
List two types of non-probability sampling techniques.
Convenience sampling, Purposive sampling
Cluster sampling
Stratified sampling
Random sampling
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the main difference between primary and secondary data?
Primary data is always quantitative, while secondary data is qualitative.
Primary data is original and specific to a study, whereas secondary data is previously collected and may not be specific.
Primary data is less reliable than secondary data.
Secondary data is collected in real-time, whereas primary data is historical.
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Explain the concept of cross-tabulation in data analysis.
Cross-tabulation is used exclusively for numerical data analysis.
Cross-tabulation involves only linear regression techniques.
Cross-tabulation is a method for analyzing the relationship between categorical variables by creating a matrix of their frequency distributions.
Cross-tabulation is a method for visualizing time series data.
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What are the key components of a research report?
Executive summary, findings, recommendations
Background, implications, future work
Data analysis, appendices, acknowledgments
Title, abstract, introduction, literature review, methodology, results, discussion, conclusion, references
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