This course will enable the students to apply the steps of a research process for solving problems related to managerial decision making.
Course |
Learning outcome (at course level) |
Learning and teaching strategies |
Assessment Strategies |
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Course Code |
Course title |
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24MTM124 |
Research for Management (Theory) |
CO19: Distinguish between various types of research, types of research design and explore the process of Research CO20: Distinguish between the types of scales, apply scaling techniques and evaluate various Primary and Secondary methods of data collection CO21: Design a questionnaire, apply sampling techniques and summarize data using descriptive statistics. CO22: Develop a hypothesis and evaluate it using various statistical tests. CO23: Apply ANOVA for Hypothesis testing and construct a research report CO24: Contribute effectively in course-specific interaction |
Approach in teaching: Interactive Lectures, Group Discussion, Tutorials, Case Study
Learning activities for the students: Self-learning assignments, presentations |
Continuous Assessment Test, Semester end examinations, Quiz, Assignments, Presentation |
Introduction to Resaerch 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 & Data Collection
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, Sampling and Data Analysis-I
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)
Data Analysis II
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
Data Analysis III & Report Writing
Analysis of Variance (ANOVA)- One-way and two-way classification.Report Writing:
Importance, Process, qualities of a Research report, Report layout