Programme PhD Term III Academic Year 2021-22

Course title Applied Quantitative Techniques for Educational Research Area Ravi J. Matthai Centre For Educational Innovation Credits 1.00

Prof. Kathan Shukla

Course Description & Objectives
Course Objectives:
This applied course builds on the insights and knowledge obtained in the first-year research methodology courses (Survey of Statistical Methods, and Statistics). Regression analysis is one of the most commonly used quantitative techniques used across various fields such as economics, education, psychology, sociology, and business. The course is designed to help students become more informed consumers of research and be able to apply these analytic techniques in educational/psychological research. The course will be based on a combination of theoretical and practice-oriented sessions that will provide working knowledge of statistical software like SPSS, STATA and R.

Topics covered in the course will include: univariate and multivariate analysis of variance (ANOVA & MANOVA), simple regression, multiple regression (MR) analysis, regression diagnostics, the use of categorical independent variables, curvilinear regression analysis, modelling binary outcomes (logistic regression), Poisson and negative binomial regression, direct and indirect effects of predictor on the outcome variable of interest.

Upon the completion of this course, the participants would be able to:
  1. Understand and apply the quantitative techniques of ANOVA, MANOVA, simple regression, multiple regression (MR) analysis, curvilinear regression, logistic regression, Poisson and negative binomial regression used in social science research.
  2. Identify which analytic technique(s) to use for a given research question and data structure.
  3. Infer findings from data analysis and to draw conclusions about study population.
  4. Use the statistical packages like SPSS, STATA and/or R in their quantitative research.
  5. Communicate methods and results of a research study in writing with appropriate tables and figures.


A combination of lectures, presentation and class-room exercises will be used. Participants are expected to familiarize themselves with the assigned readings and come to class prepared to participate in the class discussions.