The course will enable students to -
COURSE OUTCOMES (Cos):
| Course | Learning outcome (at course level) | Learning and teaching strategies | Assessment Strategies | |
| Paper Code | Paper Title | |||
| ATG / BSG / FSG 124 | Research Methodology I (Theory) | The students will be able to – 
 CO16: To understand the basics of the concept of research and its types. CO17: To identify the overall process of designing a research study from its inception. CO18: To understand the link between quantitative research questions and data collection. CO19: To have adequate knowledge on measurement & scaling techniques. CO20: To understand various tools and techniques used in measurement of data. | Approach in teaching: 
 Interactive Lectures, Discussion, Reading assignments 
 Learning activities for the students: 
 Self-learning assignments, Effective questions, Simulation, presentation, Giving tasks | Class test, Semester end examinations, Quiz, Solving problems in tutorials, Assignments, Individual projects | 
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, Significance of Research
Research Design : Meaning, Need and Characteristics of a good research design. Identification of a Research problem. Selection of a Research problem.
Hypothesis- Purpose, Characteristics, Types and Criteria of Hypothesis
Data gathering instruments : Observation, Interview, Questionnaires and Schedules, their construction, Technique of data collection, Scrutiny of data, accuracy of measurements, testing of a questionnaire.
Scaling Techniques: Purpose of scaling techniques, Types of scales- Nominal, Ordinal, Interval and Ratio scales
Statistics : Meaning, Importance, Limitations, Classifications and Tabulation of data, Variables- Meaning and Concept, Types of Variables. Frequency Distributions and Cumulative Frequency Distribution,
Measure of Central Tendency- Mean, Median and Mode, Geometric and Harmonic Mean their Properties, Merits and Demerits.
Measure of Dispersion- Range, Quartile Deviation, Mean Deviation and Standard Deviation, Coefficient of Variation.
Skewness : (their absolute and relative measures)
Correlation Analysis : Definition and Concept, types and measures of studying Correlation (Karl Pearson’s coefficient of correlation, its assumptions, properties, merits and demerits, Spearman’s Rank correlation & Con-Current Deviation Method)
Regression Analysis- Definition, Concept, Uses and Properties. Least Square Method, Regression Coefficients, Fitting of Regression lines