![]() ![]() When an intervention yields a change, it will be more detectable. Why? Because a stable baseline is a reliable baseline: You’re seeing similar results repeating themselves. The need for reliability also means it is generally best to wait until a baseline is stable before implementing. The reliability of baseline is critical to use as a contrast for the treatment effects, so we need a minimum of 3 data points to demonstrate it. This provides confidence that the outcome is reliable rather than a fluke. ![]() Often a behavior analyst selects a mastery criterion that requires repeated demonstration of mastery. The more repetitions, the more reliable the pattern. The reliability of our data can be found in whether the results repeat themselves. If I achieve my goal (running a faster time), I can say my accomplishment is valid because I am using data (duration of time over the same distance) that is directly related to my goal. Both races are the same distance and attaining my goal will be measured by the time it takes me to finish. When determining whether a strategy, IEP goal, or method of data collection is valid, we should ask ourselves, “What is our intent?” For example, when I train for my next marathon, I’ll set a goal to run faster than my last. ![]()
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