Parametric analysis
- evaluates the effectiveness of a range of values for an intervention(IV), it can be thought of as questioning "how much" of an intervention is needed to be effective .
- only one independent variable can be evaluated at a time using a parametric analysis.
- range of values for an independent variable and determines which value is most effective.
- For example, comparing the amounts of conditioner(#howmuch) on the effects it has on your hair (DV), you're conductiong a parametric analysis. #howmuchisneeded
Nonparametric analysis
- compares the effects of an intervention(or IV) by evaluating the effects of implementing and removing the independent variable #turnonandoff
Component analysis
- involves the comparion of individual components in a treatment package to determine which part of an independent variable is responsible for behavior change.
- in order to make it more manageable for technicians and caregivers, it is important to conduct a component analysis to see which interventions can be removed/faded out first as least essential in changing the bx.
- This can be thought about as "which part"(component) of the intervention is effective #whichpartiseffective. this allows for behavior treatments to be analytic.
- component analysis evaluates each individual component of a treatment package while a parametic analysis evaluates the range of values of the independent variable that are the most effective.
Drop out
- is a method of component analysis that when a component is systematically removed and the treatment is no longer effective, we have identified the necessary component which makes the package most effective.
- this method of component analysis allows us to present the entire treatment package and then remove components systematically.