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 Outcomes (COs):
Course |
Learning outcome (at course level) |
Learning and teaching strategies |
Assessment Strategies |
|
Course Code |
Course Title |
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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