The Nature and Extent of Component Analyses for Improving or Mitigating Behavior: A Systematic Review.

behavior component analysis disabilities single case research

Journal

Behavior modification
ISSN: 1552-4167
Titre abrégé: Behav Modif
Pays: United States
ID NLM: 7803043

Informations de publication

Date de publication:
01 2022
Historique:
pubmed: 21 11 2020
medline: 6 5 2022
entrez: 20 11 2020
Statut: ppublish

Résumé

A component analysis is an approach where two or more independent variables are evaluated as a package and independently. The approach is used to assess and identify which component of a treatment package is the most effective. The purpose of this review is to document the application of component analyses to improve or mitigate non-academic behaviors with individuals with disabilities. We identified 21 research articles that used a component analysis to evaluate treatment packages with students who were identified as having or at-risk for a disability in classroom and/or alternative settings. Results from reviewing 21 articles (22 cases) indicate that 11 intervention packages had a single component that was critical for successful behavior change. Two articles suggested the entire intervention package was necessary while nine articles did not report a critical component or had variable results pertaining to critical components. The benefits and drawbacks of using component analyses for single case research are discussed. Implications for future research are also presented.

Identifiants

pubmed: 33215506
doi: 10.1177/0145445520971256
doi:

Types de publication

Journal Article Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

230-253

Auteurs

Benjamin S Riden (BS)

James Madison University, Harrisonburg, VA, USA.

Andrew M Markelz (AM)

Ball State University, Muncie, IN, USA.

Salvador Ruiz (S)

University of West Florida, Pensacola, FL, USA.

Sarah Kent (S)

University of West Florida, Pensacola, FL, USA.

Shelby K Pavelka (SK)

Ball State University, Muncie, IN, USA.

Argnue Chitiyo (A)

Ball State University, Muncie, IN, USA.

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Classifications MeSH