The rate of development
The rate of in individual’s Lectical growth (growth in complexity level) is affected by a wide range of factors. Twin studies suggest that about 50% of the variation in growth trajectories is likely to be predicted by genetic factors. The remaining variation is explained by environmental factors, including the environment in the womb, the home environment, parenting quality, educational quality & fit, economic status, diet, personal learning habits, and aspects of personality.
Each Lectical Level takes longer to traverse than the previous level. This is because development through each successive level involves constructing increasingly elaborated and abstract knowledge networks. Don’t be fooled by the slow growth, though. A little growth can have an important impact on outcomes. For example, small advances in level 11 can make a big difference in an individual’s capacity to work effectively with complexity and change — at home and in the workplace.
The graphs above show examples of possible learning trajectories, first, for the lifespan and second, for ages 10–60. Note that the highest age shown on these graphs is 60. This does not mean that individuals cannot develop after the age of 60.
The yellow circle in each graph represents a Lectical Score and the confidence interval around that score. That’s the range in which the “true score” would most likely fall. When interpreting any test score, you should keep the confidence interval in mind.
Within individuals, growth is not tidy
When we measure the development of individuals over short time spans, it does not look smooth. The kind of pattern shown in the following graph is more common. However, we have found that growth appears a bit smoother for adults than for children. We think this is because children, for a variety of reasons, are less likely to do their best work on every testing occasion.
People don’t grow at the same rate in every knowledge area
An individual’s rate of growth depends on the level of their immersion in particular knowledge areas. A physicist may be on one trajectory when it comes to physics and quite a different trajectory when it comes to interpersonal understanding.
Factors that affect the rate of development
- Genetics & socio-economic status.
- A test-taker’s current developmental trajectory. For example, as time passes, a person whose history places her on the green curve in the first two graphs is less and less likely to jump to the blue curve.
- The amount of everyday reflective activity (especially VCoLing) the individual typically engages in (less reflective activity > less growth)
- Participation in deliberate learning activities that include lots of reflective activity (especially VCoLing)
- Participating in supported learning (coaching, mentoring) after several years away from formal education (can create a growth spurt).