Statistics Part II
This course on Statistical Analysis for Policy Research -II is designed for the scholars of public policy to develop understanding of essential tools of statistical inference and establishing causal relationship among the policy research variables.
Its begins with discussion of one and two-way ANOVA, then move 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 namely, simultaneous, sequential, and step wise. It also deals with using qualitative information such as ‘Gender’ in regression analysis, and qualitative dependent variables using binary logistic regression model. It also introduces the concept of path analysis and panel data modelling.
Assistant Professor, NIPFP