Data Preparation and Research Methodology

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.

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.

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.

List two types of non-probability sampling techniques.

• Convenience sampling, Purposive sampling

• Cluster sampling

• Stratified sampling

• Random sampling

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.

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.

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

Describe the guidelines for writing a good research report.

• Guidelines for writing a good research report include clear structure, concise language, evidence-based claims, proper citations, and adherence to formatting guidelines.

• Ignoring formatting requirements completely

• Including personal opinions without evidence

• Using complex jargon throughout the report

What is the significance of attitude measurement in research?

• It measures physical health and fitness levels.

• It focuses solely on demographic data collection.

• It is used exclusively for marketing purposes.

• It quantifies and analyzes feelings and beliefs, aiding in decision-making and behavior prediction.

Name one comparative scaling technique and one non-comparative scaling technique.

• Comparative: Paired Comparison; Non-comparative: Likert Scale

• Comparative: Graphic Rating Scale; Non-comparative: Checkbox Scale

• Comparative: Rank Order; Non-comparative: Constant Sum

• Comparative: Semantic Differential; Non-comparative: Rating Scale