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
Data Theory
Scientific investigation requires empirical observation. But, any single observation supplies a great deal of information. Some of this information is superfluous for the research at hand; therefore, it is usually ignored by the analyst. But part of the information is retained and used for investigative purposes. This latter information is what we mean by ...