Abstract
Two-way two-mode data occur in almost every domain of scientific psychology. The information present in
such data, however, may be hard to grasp because of the dimensions of one or both modes. Two-mode partitioning
addresses this problem by breaking down both modes into a number of mutually exclusive and exhaustive
subsets. Although such a technique may be very useful, up to now, software--and consequently, two-mode
partitioning--has been available only to a handful of specialists in the field. In this article, we present a free,
easy-to-use MATLAB graphical user interface (TwoMP) for two-mode partitioning models, specifically developed
for nonspecialist users. A short formal introduction is given on the statistics of the method, and the basic
use of TwoMP is demonstrated with an example.
such data, however, may be hard to grasp because of the dimensions of one or both modes. Two-mode partitioning
addresses this problem by breaking down both modes into a number of mutually exclusive and exhaustive
subsets. Although such a technique may be very useful, up to now, software--and consequently, two-mode
partitioning--has been available only to a handful of specialists in the field. In this article, we present a free,
easy-to-use MATLAB graphical user interface (TwoMP) for two-mode partitioning models, specifically developed
for nonspecialist users. A short formal introduction is given on the statistics of the method, and the basic
use of TwoMP is demonstrated with an example.
| Original language | English |
|---|---|
| Pages (from-to) | 507-514 |
| Number of pages | 8 |
| Journal | Behavior Research Methods |
| Volume | 41 |
| Issue number | 2 |
| Publication status | Published - 2009 |
Keywords
- two-way clustering
- matlab