IGNOU MS-95 (January 2025 – July 2025) Assignment Questions
1. What is the basic nature of research designs? Distinguish between cross-sectional and longitudinal designs. In what situations would you recommend the usage of one over the other? Explain.
2. What should be the criteria for designing the questionnaire? How can questionnaires assist in survey research? How will you design a questionnaire to measure the attitude towards banks and insurance services? Discuss using the steps in the questionnaire design effectively.
3. Processing of data involves editing, coding, classifying and tabulating. Explain each of these steps by taking an appropriate research example.
4. Write a short note on the following:
a. Multiple Linear Regression
b. Multistage Sampling
c. Logical Flow Models
d. The Q-Sort Technique
5. A sample of 870 trainees was subjected to different types of training classified as intensive, good and average and their performance was noted as above average, average and poor. The resulting data is presented in the table below. Use a 5 per cent level of significance to examine whether there is any relationship between the type of training and performance.
IGNOU MS-95 (January 2024 – July 2024) Assignment Questions
1. Distinguish between primary and secondary data. Explain any three methods of collecting primary data using examples wherever possible.
2. Take any managerial decision that was taken in your organization and of which you are aware of the information and the process through which it has gone through. Analyse the problem-solving steps that have gone through and the improvement that you would suggest if the same situation has to be faced all over again.
3. You have been assigned the task of measuring the job satisfaction of Blue-Collar Employees in your organization. Design a suitable questionnaire to measure the same.
4. Define a research report and explain its purpose. Describe briefly the various elements included in a research report.
5. The following data shows employee rates of defective work before and after a change in the wage incentive plan. Compare the following two sets of data to see whether the change lowered the defective units produced. Use the 0.10 level of significance.
Before 8 7 6 9 7 10 8 6 5 8 10 8
After 6 5 8 6 9 8 10 7 5 6 9 8
(Given the tabulated value required for comparison is 0.3770)
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