Abstract
Objective: To use the information about the factors identified, by means of correspondence analyses to determine the behavior of the variables to be used to then make a natural segmentation, thus facilitating the interpretation and presentation of results. Materials and methods: We present a new profiling and segmentation approach by using correspondence analyses and classification. Results: By using this methodology we can optimize the determination of segments and the profiling of a set of variables. This procedure allows researchers of different disciplines to present and interpret the results of their research efficiently. Conclusions: The procedure here described enables a simple and quick interpretation of the analysis on many variables, rendering its use and implementation easy.
Translated title of the contribution | Use of multivariate statistical techniques in profiling and segmentation |
---|---|
Original language | Spanish |
Pages (from-to) | 254-262 |
Number of pages | 9 |
Journal | Universitas Scientiarum |
Volume | 16 |
Issue number | 3 |
DOIs | |
State | Published - Dec 2011 |