Course Outcomes (COs):
Course Outcomes |
Learning and teaching strategies |
Assessment Strategies |
On completion of this course, the students will be able to; CO 19. Distinguish between the various types of research and research design. CO 20. Formulate the steps of a research process and apply them to conduct a research study. CO 21. Design a questionnaire and use it for data collection CO 22. Develop a hypothesis and test it. CO 23. Analyze the collected data using various descriptive and statistical tools and techniques. CO 24. Construct a research report. |
Approach in teaching: Interactive Lectures, Group Discussion, Tutorials, Case Study |
Class test, Semester end examinations, Quiz, Assignments, Presentation |
Learning activities for the students: |
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Self-learning assignments, presentations |
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Research: Definition, characteristics, Approaches-Deduction, Induction, Types of Research, Research Process.
Research Design: Meaning, Features of a good research design. Types of Research Design-Exploratory, Descriptive and Experimental studies
Measurement Scales-Types of scales- Nominal, Ordinal, Interval and Ratio scales, Scaling Techniques: Comparative and Non-comparative scaling
Data Collection: Primary and Secondary Data-Methods of collecting data
Questionnaire Design-Objectives, hierarchy of Questions, Process, Lay out, Pilot testing
Sampling Design-Meaning of sample and population, Sampling techniques, sample size calculation Preliminary data analysis- Descriptive statistics- Measures of central tendency (Mean, Mode, Median), Measures of Dispersion (Variance, Standard Deviation, Range) [Applied Knowledge only)
Hypothesis testing- process, student’s T test, Z test, Chi Square test
Correlation and Regression- Meaning, difference, Assumptions of regression, Regression equation- interpretation and its application
Analysis of Variance (ANOVA)- One-way and two-way classification.
Report Writing: Importance, Process, qualities of a Research report, Report layout
Suggested Readings: -
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