This module would provide a common appreciation of statistics and gives all social science students a background in statistical testing and its usefulness in evaluating what one can know, and makes all students aware of the limits of statistical testing. Statistical training is part of the core of any scientific training. Data are the key link between theory and the underlying reality. As such, understanding the world requires interfacing with data drawn from social settings. We need to link our conceptual ideas with measurable quantities, and to do that we need a basic idea of how to conceptualize and employ data. The goal of this module is to develop literacy in quantitative empirical methods and an understanding of their limitations, and, finally, the importance of integrating qualitative and quantitative methods to arrive at a final judgement.
Hat Tip ~ Colander & Kupers, Complexity and the Art of Public Policy
No comments:
Post a Comment