Summary
Contents
By examining some of the basic scaling questions, such as the importance of measurement levels, the kinds of variables needed for Likert or Guttman scales and when to use multidimensional scaling versus factor analysis, Jacoby introduces readers to the most appropriate scaling strategies for different research situations. He also explores data theory, the study of how real world observations can be transformed into something to be analyzed, in order to facilitate more effective use of scaling techniques.
Conclusions
Conclusions
There are three main conclusions to be drawn from the discussion in this monograph. First, data theory provides a comprehensive framework for understanding the information conveyed by empirical observations. This is important because it can direct researchers toward appropriate analytical procedures. It is hoped ...