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.

成分分析是一种将两个或多个自变量作为一个包独立评估的方法。该方法用于评估和确定治疗方案的哪个部分最有效。本次审查的目的是记录成分分析的应用，以改善或减轻残疾人的非学术行为。我们确定了 21 篇研究文章，这些文章使用成分分析来评估在课堂和/或其他环境中被确定为患有残疾或有残疾风险的学生的治疗方案。回顾 21 篇文章（22 例）的结果表明，11 个干预包有一个对成功改变行为至关重要的组成部分。两篇文章建议整个干预包是必要的，而九篇文章没有报告关键组成部分或与关键组成部分有关的结果不同。讨论了在单个案例研究中使用成分分析的优点和缺点。还介绍了对未来研究的影响。