Component analysis (statistics)

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Not to be confused with principal component analysis.

Component analysis is the analysis of two or more independent variables which comprise a treatment modality.[1][2][3]

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.[4]

References

  1. ↑ For definition, see Lua error in package.lua at line 80: module 'strict' not found.
  2. ↑ 2.0 2.1 Lua error in package.lua at line 80: module 'strict' not found.
  3. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  4. ↑ Behavior Analyst Task List," 2005


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