BCBAs: Making data-driven decisions with many RBTs’ data?
Using Central Reach, I am able to view the previous few sessions’ data for a client’s targets. I noticed that my data looks quite different from many of my coworkers.
For example, we collect data on the frequency that Client A uses his choice board, including when prompted with modeling. His previous sessions had 1 to 4 mands per session, while in my session, I collected 24 mands, most of which were independent. For some other natural environment baseline data collection, I’ve gotten up to 10x the rate of my coworkers. Whether it’s due to how we engage in play with clients (or lack thereof) or frequency of running trials / tracking data, it’s a large discrepancy.
So, I was wondering for BCBAs: assuming very different quality and quantity of data from technicians that work with a client, how do you make data-driven decisions, modifications, and goals for a client?