Laban’s theory of the dynamics of human movement (effort) is deceptively simple. There are only four motion factors (Weight, Time, Space, and Flow) and eight effort qualities. But the theory becomes much richer because different combinations and sequences of effort qualities express very different states of mind.

It is difficult to convey this richness in a semester-long course. And I think that is okay. Students should not believe they have mastered all there is to know about Laban in only a few weeks. The key is to spark curiosity and a desire to continue to learn about movement expression.
Consequently, while Meaning in Motion is meant to be an introductory text, there is more material than can be covered in one semester. For example, the chapter on Effort not only introduces the four motion factors and eight effort qualities. It also covers all the states and drives, providing suggestions for creative explorations of these more complex dynamic expressions.
In explaining effort as expression, I discuss the psychological correlations that Laban drew with the motion factors and the basic phrasing pattern of preparation, exertion, and recuperation. These notions are also linked to a reflective movement exploration.
Increasingly I have come to feel that it is important for students to understand relationships between states and drives – how states build to a drive or provide recuperation from a drive. This is obviously more advanced material, but the adequate explanation is incorporated in the chapter on effort as well as in appendix material to help students begin to “think in terms of effort.”
This was always Laban’s admonition. Thinking in terms of effort requires a conceptual shift from focusing on what is done to appreciating how the movement is done.

In 2011, I participated in a pilot study examining the validity of Movement Pattern Analysis profiles in predicting decision-making patterns. Although MPA has been used by senior business teams for over 50 years, its potential application to the study of military and political leaders has barely been tapped. The pilot study was the first test of this new area of application.
The application of Movement Pattern Analysis in building teams was not the focus of my experiment with making basic profiles of undergraduate dance majors for a seminar on career development. However, I realized that an implicit team relationship clearly exists between student and teacher.
I utilized the