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[edit]

  1. ^ For definition, see Ward-Horner, John; Sturmey, Peter (2010). "Component Analyses Using Single-Subject Experimental Designs: A Review". J Appl Behav Anal 43 (4): 685–704. doi:10.1901/jaba.2010.43-685. PMC 2998259. PMID 21541152. 
  2. ^ a b Baer, Donald M.; Wolf, Montrose M.; Risley, Todd R. (1968). "Some Current Dimensions of Applied Behavior Analysis". J Appl Behav Anal 1 (1): 91–97. doi:10.1901/jaba.1968.1-91. PMC 1310980. PMID 16795165. 
  3. ^ Cooper, J. O.; Heron; Heward (2007). Applied Behavior Analysis (2nd ed.). Upper Saddle River, NJ: Pearson/Merrill Prentice Hall. ISBN 978-0-13-142113-4. 
  4. ^ Behavior Analyst Task List," 2005