Functional analyses are intended to identify the reinforcers maintaining problem behavior in order to inform clinicians' selection of interventions. Traditionally, these analyses have exposed problem behavior to multiple, isolated reinforcement contingencies and in doing so, have ruled in and ruled out potential sources of reinforcement. Recently, some functional analysis models have forgone testing individual reinforcement contingencies and instead exposed problem behavior to 2 or more reinforcers simultaneously in a single, synthesized reinforcement contingency. The current review applies assessment analytics to these approaches to consider their relative sensitivity, specificity, discriminant validity, and predictive validity to yield practice recommendations and to nominate areas of future research.

中文翻译：

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在问题行为的功能分析过程中，由孤立和综合意外事件产生的数据的有效性

功能分析旨在识别维持问题行为的强化物，以便为临床医生选择干预措施提供信息。传统上，这些分析将问题行为暴露于多个孤立的强化突发事件中，并且在这样做的过程中，已经排除并排除了潜在的强化来源。最近，一些功能分析模型已经放弃测试单个强化意外事件，而是在单个合成强化意外事件中同时将问题行为暴露给 2 个或多个强化物。当前的审查将评估分析应用于这些方法，以考虑它们的相对敏感性、特异性、区分效度和预测效度，以产生实践建议并指定未来研究的领域。