Course Details
Subject {L-T-P / C} : HS4471 : Quantitative Research Laboratory - I { 0-0-3 / 2}
Subject Nature : Practical
Coordinator : Ipsita Roy
Syllabus
| Module 1 : |
Introduction to Quantitative Research in Social Science, Types of Data, Variables and Levels of Measurement, Research Design and Techniques of Data Collection, Population versus Sample, Sampling Methods and Techniques, RVRG, Frequency Distribution, Graphic and Diagrammatic presentation of Data, Basic Mathematics for Quantitative Analysis. |
| Module 2 : |
Descriptive Statistics: Measures of Central Tendency, Arithmetic Mean, Median and Mode (for both Grouped and Ungrouped Data), Properties of Arithmetic Mean, Graphical Location of Median and Mode, Comparison of Mean Median and Mode, Geometric and Harmonic Mean. |
| Module 3 : |
Index Numbers: Their Concept as Weighted Averages, Problems in the Construction of Index Numbers, Chain Index, Cost of Living Index Number (Different Formulae), Wholesale Price Index and Cost of Living Index in India, Base Shifting, Uses of Index Numbers. |
| Module 4 : |
Dispersion: Range, Quartile Deviation, Mean Deviation and Standard Deviation, Properties of Standard Deviation, Comparison of Different Measures of Dispersion, Measures of Relative Dispersion–Curve of Concentration, Measurement of Economic Inequality- Gini Coefficient and Coefficient of Variation/Lorenz Curve.
|
| Module 5 : |
Correlation Analysis: Elementary Analysis of Linear Correlation: Covariance, Scatter Diagram, Coefficient of Simple Correlation–Properties and the Method of Calculation, Concept of Spearman’s Rank Correlation. |
Course Objective
| 1 . |
To develop a foundational understanding of quantitative methods and statistical tools used in analysing social and economic data relevant to development studies. |
| 2 . |
To equip students with the ability to organise, summarise, and interpret data using measures of central tendency, dispersion, correlation, regression, and index numbers, with applications to real-world development indicators. |
| 3 . |
To introduce basic mathematical concepts such as differentiation and partial derivatives that are essential for understanding economic models and quantitative analysis in development research. |
Course Outcome
| 1 . |
By the end of this course, students will be able to apply foundational quantitative techniques to collect, organise, analyse, and interpret data for social science research, with a specific focus on development-related issues. |
Essential Reading
| 1 . |
Gupta, S.C., Fundamentals of Statistics, Himalaya Publishing House, Delhi Publications, New Delhi , New Delhi |
| 2 . |
Nagar and Das, Basic Statistics, Oxford India Paperbacks , OUP , New Delhi |
Supplementary Reading
| 1 . |
Murray R. Speigel, Theory & Problems of Statistics, Schaum’s publishing Series |
Journal and Conferences
| 1 . |