Chapter 6 describes the technique of using state space grids in order to analyze a variety of process characteristics. Grid techniques are especially suited to study the movements of a system through the state space. One can imagine a data set that consists of a sequence of interactions between an adolescent and his parent, where each data point describes the emotional expressions of both the parent and the adolescent. By means of grids one can analyze whether dominant patterns of interactions can be found, whether specifi c expressions of one partner are followed by specifi c expressions of the other, which of the partners initiates changes in the interactions, etc. In a more abstract way, grids offer possibilities to study (changes in) variability, the strength of attractors in individuals and the return time, and to compare differences in attractor strength between individuals and changes within individuals. Grid techniques can also be used to analyze differences in variability, such as in the four data series depicted in Figure 3.1.