Statistics Part II

This course on Statistical Analysis for Policy Research -II is designed for public policy scholars to understand the essential tools of statistical inference and establish causal relationships among the policy research variables. It begins with a discussion of one and two-way ANOVA, then moves on to explain the concept of multiple regression with emphasis on the essential condition of ‘Cetris Paribas’ with regard to multiple regression. It provides functional knowledge of three ways of conducting multiple regression analysis: simultaneous, sequential, and step-wise. It uses qualitative information such as ‘Gender’ in regression analysis, and qualitative dependent variables using a binary logistic regression model. It also introduces the concepts of path analysis and panel data modelling.

Amey Sapre

Assistant Professor, NIPFP