Abstract
Three-way component analysis techniques are designed for descriptive analysis of 3-way data, for example, when data are collected on individuals, in different settings, and on different measures. Such techniques summarize all information in a 3-way data set by summarizing, for each way of the 3-way data set, the associated entities through a few components and describing the relations between these components. In this article, 3-mode principal components analysis is described at an elementary level. Guidance is given concerning the choices to be made in each step of the process of analyzing 3-way data by this technique. The complete process is illustrated with a detailed description of the analysis of an empirical 3-way data set.
| Original language | English |
|---|---|
| Pages (from-to) | 84-110 |
| Number of pages | 27 |
| Journal | Psychological Methods |
| Volume | 6 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - Mar-2001 |
Keywords
- LEAST-SQUARES ALGORITHMS
- INDIVIDUAL-DIFFERENCES
- ANALYSIS MODEL
- 3-MODE DATA
- ROTATION