Co-relational probabilities of co-occurring events.
The software
Co-relational probabilities are a statistical way of describing events that happen at the same time. This is an important phenomenon to study as behavior analysts. By determining relations among antecedent events, behaviors and consequences, we may begin to understand why behaviors are occurring. This describes the 3-term contingency, and is commonly referred to as the ABC’s of behavior. The piece that is all-to-often ignored is the A-(not B)-C’s of behavior. That is, what is going on in the environment when a given behavior is not occurring. This approach is seldom utilized, but is undoubtedly critical to understanding behavior.
In an example of co-relational probabilities, consider a child who frequently screams. By carefully observing the events taking place when the child is screaming, and when the child is not screaming, we begin to see two emerging pictures. While it is useful to learn what events lead up to the behavior, it is also interesting to note what events never lead to the behavior. By observing these discrepant situations, we can build strategies to reduce the screaming behavior.
Boston ABA has a data harvesting and analysis tool to aid in the observation and analysis of co-relational probability data. Custom scan forms are designed for each target behavior. These forms are later scanned into a relational database that examines every possible co-occurrence of behaviors and events. This is an intensive mathematical undertaking, but with the aid of our unique software, we can perform these analyses within hours of the data collection.
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Massive amounts of data can lead to massive confusion, unless handled properly. Boston ABA features unique, state-of-the-art data harvesting, data analysis, and clinical behavior analytic software.
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