The course will enable the students to:
Course Outcomes (COs):
Course |
Learning outcome (at course level) |
Learning and teaching strategies |
Assessment Strategies |
|
PaperCode |
Paper Title |
|||
ATG / BSG / FSG 124 |
Research Methodology I |
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 |
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.
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.