Course Outcomes (Cos):
Learning outcome (at course level) |
Learning and teaching strategies |
Assessment Strategies |
|
---|---|---|---|
Upon successful completion of this course, the student will be able to: CO 211 Apply the process of research and select appropriate research design, formulating suitable research hypothesis to draw conclusion on research problem CO 212 Utilize the different sampling techniques and scaling techniques CO 213 Classify and tabulate data to interpret hypothesis CO 214 Apply appropriate statistical parametric and non- parametric test to test the hypothesis CO 215 Construct a comprehensive well-designed research report |
Approach in teaching: Interactive Lectures, Discussion, Tutorials, Reading assignments, Team teaching
|
Class test, Semester end examinations, Quiz, Solving Numerical problems in tutorials, Assignments, Class Presentation
|
Introduction to Research Methodology:
• Meaning and definition of research, process of research, types of research
• Research Design: Purpose of research, types of research design: Explorative, Descriptive and Explanatory, Cross-sectional and Longitudinal research studies.
• Sampling Techniques: Census and Sampling methods, Probability and Non-Probability sampling techniques
• Variables: Meaning, Types of Variables.
• Hypothesis: Meaning, Types and criteria of construction of hypothesis.
• Sampling Distribution and Standard Error
• Element of Testing a Statistical Hypothesis- Formulation of the problem, Types of errors. Level of significance
• Scaling Techniques: Purpose of Scaling Techniques, Types of scales: Nominal, Ordinal, Interval and Ratio Scales.
• Data Collection Techniques: Primary and Secondary data collection techniques
• Statistics: Meaning, Importance, Limitations, Classifications and Tabulation of data, discrete and continuous variables. Frequency Distributions and Cumulative frequency distribution
• Parametric tests: large sample test for proportions, single mean and difference in two means. Small sample test- Application of Student’s t- test for small sample for single mean, difference in two means (independent and paired-t). ANOVA
• Correlation and Regression Analysis
• Non-parametric analysis: Chi-square test for population variance, Kruskal Wallis H Test, Mann Whitney U – test.
• Report Writing: Format of research report, presentation (Tables, Charts, Diagrams, Labeling), footnote, endnote, bibliography, references.
• The elements of research project
SUGGESTED TEXT BOOKS:
• Kothari, C.R. (Second Edition), Research Methodology- Methods and Techniques, Wishwa Publication, New Delhi.
• Luck, David J. and Rubin, Ronald S., Marketing Research, Prentice-Hall of India Private Ltd., New Delhi.
• Levin, Richard I. and Rubin, David S., Statistics for Management, Prentice-Hall of India Private Ltd., New Delhi
SUGGESTED REFERENCE BOOKS:
• Goon, Gupta and Das: Fundamentals of Statistics, Vol. I and II.
• Snedecor and Cochran, Statistical Methods, Oxford and IBH Publishers
• Shukla,M.C. and Gulshan S.S., Statistics Theory and Practice, Sultan Chand and Sons, New Delhi.
• Gupta, S.P., Statistical Methods, Sultan Chand and Sons, New Delhi.
• Gupta, S.C. and Kapoor V.K., Fundamental of Mathematical Statistics, Sultan Chand and Sons, New Delhi
• Simpson and Kafka: Basic Statistics, Oxford and IBH Publishers.
• Badarkar, P.L. and Wilkinson T.S. (2000), Methodology and Techniques of Social Research, Himalaya Publishing House, Mumbai
e-RESOURCES:
• https://repository.dinus.ac.id/docs/ajar/Kothari_-_Research_Methodology_...
• https://www.researchreinforcement.com/
• https://web.s.ebscohost.com/ehost/search/basic?vid=0&sid=0c7f189a-083f-4...
• http://ww1.shodhganga.com/
• https://shodhgangotri.inflibnet.ac.in/
REFERENCE JOURNALS:
• Business Perspectives and Research
• FIIB Business Review
• Harvard Business Review
• IUP Journal of Accounting Research
• Jindal Journal of Business Research