Add-in component analysis
A method for conducting a component analysis that identifies the effective components of a treatment package by comparing each component individually or in different combinations, to the complete treatment package.
D.8 Identify rationales for conducting comparative, component, and parametric analyses.
Additive effects
When an individual component of a treatment package acts alone to produce a desired effect and does not impact the effectiveness or lack thereof of the other components.
Comparative analysis
An applied comparison of two or more treatments to assess which treatment is most effective.
Component analysis
An experiment in which each component of a multi-component behavior intervention (treatment package) is examined to determine the most effective elements and combinations.
Dana Do’s: The Distinction Between Analysis Types and Experimental Designs
What’s the difference between parametric, component, and comparative analyses? And what do experimental designs have to do with it? PTB founder Dana Meller clears up the confusion with a deep dive into analysis variations.
Dana Do’s: The Distinction Between Analysis Types and Experimental Designs Read More
Drop-out component analysis
A method for conducting a component analysis that includes presenting the entire treatment package and then systematically removing individual components to identify which components are necessary for meeting treatment goals.
Multiplicative effects
When the effects of one component of a treatment package may be influenced or modified by the presence or interaction of another component.
Nonparametric analysis
A type of experiment in which the effects of the independent variable are presented and withdrawn, comparing the effects of both conditions on the dependent variable
Parametric analysis
A type of experiment in which the effects of differential amounts of the independent variable are presented and compared to the dependent variable.