Data Theory and Dimensional Analysis (Quantitative Applications in the Social Sciences)

Considers how "real-world" observations can be interpreted to convert them into data to be analyzed, so as to facilitate more effective use of scaling techniques. The text introduces the most appropriate scaling strategies for different research situations.