Publisher's Synopsis
This is an introductory book on how to optimally analyze non-quantitative data, based on the author's experiences over 60 years of research. The major message to the readers is that qualitative (non-quantitative) data are much more informative than quantitative data. This is good news for readers in applied areas of statistics such as those in the social sciences and marketing research, where qualitative data are everywhere. But how can one analyze qualitative data quantitatively and extract more information than from the sophisticated analysis of quantitative data? The key rests in illustrations of difficult topics in a way that anyone can understand. It is the author's wish soon the use of AI will open a gate for simple means for optimal analysis of qualitative data, as illustrated throughout the book.
