This course will enable the students to develop proficiency in crafting robust research methodologies, adeptly gathering and organizing data, and employing advanced analytical techniques to derive meaningful insights.
Course |
Learning outcome (at course level) |
Learning and teaching strategies |
Assessment Strategies |
|
Course Code |
Course Title |
|||
24CBTM301 |
Business Research (Theory) |
CO91:Explore the concept of research, its classification research procedure. CO92:Formulate research problem and hypothesis & create well- structured research design for a research problem. CO93:Recommend the different sampling techniques. CO94:Select data collection tools and determines scales for data collection. CO95:Specify the techniques of descriptive statistical analysis. CO96:Contribute effectively in course-specific interaction. |
Approach in teaching: Interactive Hours, Discussion, Tutorials, Reading assignments
Learning activities for the students: Self learning assignments, Effective questions, Giving tasks
|
Class test, Semester end examinations, Quiz, Solving problems in tutorials, Assignments, Presentation, Individual and group projects |
Nature & Scope of Business Research : Definition and concept of research, Objectives of research, Importance of research. Types of Research- Descriptive vs Analytical, Applied vs Fundamental, Quantitative vs Qualitative, Conceptual vs Empirical, Historical, Longitudinal Research. Research Approaches, Research Process.
Research Design, Hypothesis and Variables: Research Design: Meaning, Need and Characteristics of a good research design. Types of Research Design, Identification of a Research problem. Selection of a Research problem.
Hypothesis: Purpose, Characteristics, Types and criteria of hypothesis, Process of Hypothesis Testing.
Variables: Meaning and Concept, Types of variables.
Sampling: Meaning of Census and Sample. Characteristics of a good Sample, Need for Sample, Methods of Sampling- Random Sampling Methods- Simple Random Sampling, Stratified Sampling, Systematic Sampling and Multi-stage Sampling. Non-Random Sampling- Judgment or Purposive Sampling, Convenience Sampling, Cluster Sampling and Sequential Sampling.
Data Collection, Measurement & Scaling: Data Collection: Data gathering instruments: Collection of Data, Primary and Secondary Data, Methods of collecting data, Sources of Secondary Data
Measurement & Scaling: Primary scales of Measurement -Nominal, Ordinal, Interval & Ratio. Scaling techniques-paired comparison, rank order, constant sum, semantic differential, itemized ratings, Likert Scale; Questionnaire-form & design
Measures of Central Value and Dispersion: Measures of Central Value: Characteristics of an ideal measure- mean median, mode, Merits, Limitations and Suitability of averages. Relationship between averages.
Measures of Dispersion: Meaning and Significance. Absolute and Relative measures of dispersion - Range, Quartile Deviation, Mean Deviation, Standard Deviation, Coefficient of Variation
Suggested Readings:
E-resources