Component analysis (statistics)
From Wikipedia, the free encyclopedia
Component analysis is the analysis of two or more independent variables which comprise a treatment modality.[1][2][3] It is also known as a dismantling study.[4]
The chief purpose of the component analysis is to identify the component which is efficacious in changing behavior, if a singular component exists.[2]
Eliminating ineffective or less effective components may help with improving social validity, reducing aversive elements, improving generalization and maintenance, as well as administrative efficacy.
References
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