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.
Data Theory and Scaling Methods
Data Theory and Scaling Methods
The main purpose for a theory of data is to rationalize the use of scaling procedures. In other words, there are many different scaling methods available to the researcher. But which one is appropriate in any given situation? Data theory is intended to bring a comprehensive perspective to bear on this ...