IMP of reserach methodology

 CH 3:

1. What is primary data?
2. Name two internal sources of secondary data.
3. What is the difference between a closed-ended and open-ended question in a questionnaire? 
4. Define scaling in research.
5. What is the main purpose of coding data?
6. What is the meaning of univariate analysis?
7. Which scale type has a true zero point?
8. What is cross-tabulation used for in data analysis?
9. Give an example of qualitative classification of data.
10. What is a Likert scale?
11. How does editing improve data quality?
12. Name two advantages of coding in data analysis.
13. What is bivariate analysis used for?
14. Give an example of an internal source of secondary data.
15. What is the difference between a nominal and ordinal scale?

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15 Long Questions:

1. Explain the various methods of primary data collection and discuss their merits and demerits.
2. Describe the difference between internal and external sources of secondary data and provide examples of each.
3. Discuss the key stages involved in designing a questionnaire and the essentials of a good questionnaire.
4. Compare and contrast the four types of measurement scales with suitable examples.
5. Explain the process of data classification. How does it help in simplifying data for analysis?
6. How does tabulation of data assist in data analysis? What are the key components of a table?
7. Discuss the factors influencing the choice of a method of data collection in a research study.
8. What is the significance of editing in data processing? How does field editing differ from centralized editing?
9. What is multiple regression analysis? How is it different from simple linear regression, and where is it applied?
10. Explain how coding and pre-coding improve the efficiency of data analysis and interpretation.
11. Describe the differences between univariate, bivariate, and multivariate analysis. Provide examples of each.
12. How does factor analysis help in reducing data complexity? Explain with an example.
13. What are the advantages and disadvantages of comparative and non-comparative scaling methods?
14. How would you design a research study that uses multivariate analysis? Discuss the steps and techniques involved.
15. Explain the process and significance of data interpretation. How can researchers ensure their interpretation is accurate and meaningful?