Component analysis (statistics)

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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.

It is also a required skill for the BCBA.[5]

References

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  1. ^ For definition, see Lua error in Module:Citation/CS1/Configuration at line 2172: attempt to index field '?' (a nil value).
  2. ^ a b Lua error in Module:Citation/CS1/Configuration at line 2172: attempt to index field '?' (a nil value).
  3. ^ Lua error in Module:Citation/CS1/Configuration at line 2172: attempt to index field '?' (a nil value).
  4. ^ Lua error in Module:Citation/CS1/Configuration at line 2172: attempt to index field '?' (a nil value).
  5. ^ Behavior Analyst Task List," 2005