Effect Size Benchmarks for Response Elaboration Training: A Meta-Analysis.
Effect Size Benchmarks for Response Elaboration Training: A Meta-Analysis.
复制标题
反应细化培训的效果大小基准：荟萃分析。
DOI：
10.1044/2018_ajslp-17-0152
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发表时间：
2019
影响因子：
2.6
通讯作者：
Wambaugh,JulieL
中科院分区：
文献类型：
--
作者：
Bunker,LisaD;Nessler,Christina;Wambaugh,JulieL
目的：由于许多单例实验设计研究报告了反应（和修正反应）细化训练（RET/M-RET）治疗的效果，因此整合多个参与者的数据以进行个体内部/个体之间和类似治疗之间的比较是很重要的。本研究的目的是对RET/M-RET的单例实验设计研究进行荟萃分析，并确定效应大小（ES）基准，以便与“组”数据进行比较。方法通过数据库和文献检索，确定了20例RET/M-RET调查。9项研究具有足够的实验质量，符合RET方案的基本组成部分，并且因变量（即响应图像刺激的准确内容生产）的一致性将被保留用于meta分析。从已发表的图表（如果没有原始数据）中提取总共26名失语症（PWA）患者的探针数据，以计算治疗结束时和治疗和未治疗刺激随访时的加权ESs。分布的第一、第二和第三四分位数被用来作为小、中、大效应的基准。几乎所有的参与者都表现出了RET/M-RET的积极影响，这表明了PWA内容生产的积极变化。报告了治疗后和随访期间治疗项目的小型、中型和大型基准，以及治疗后和随访期间未治疗项目的小型、中型和大型基准。通过26个参与者的更大样本，该分析表明，RET/M-RET与PWA内容生产的积极变化相关。ES基准允许临床医生/研究人员将个体在多种治疗应用中的表现与其他PWA的表现以及具有类似结果的其他治疗进行比较。
PurposeWith a number of single-case experimental design studies reporting the effects of treatment for response (and modified response) elaboration training (RET/M-RET), it is important to consolidate data over multiple participants to allow comparison within/between individuals and across similar treatments. The purpose of this study was to conduct a meta-analysis of single-case experimental design studies of RET/M-RET and to determine effect size (ES) benchmarks to allow comparison to “group” data.MethodDatabase and bibliographical searches identified 20 investigations of RET/M-RET. Nine studies had sufficient experimental quality, compliance with the essential components of the RET protocol, and consistency in the dependent variable (i.e., accurate content production in response to picture stimuli) to be retained for the meta-analysis. Probe data for a total of 26 persons with aphasia (PWA) were extracted from published graphs (if raw data were not available) to calculate weighted ESs at the end of treatment and at follow-up for both treated and untreated stimuli. The first, second, and third quartiles of the distributions were used to serve at benchmarks for small, medium, and large effects.ResultsNearly all participants demonstrated positive effects as a result of RET/M-RET, indicating an association with positive changes in content production for PWA. Small, medium, and large benchmarks are reported for treated items after treatment and at follow-up, as well as for untreated items after treatment and at follow-up.ConclusionsWith a larger sample of 26 participants, this analysis indicates that RET/M-RET are associated with positive changes in content production for PWA. ES benchmarks allow clinicians/researchers to compare an individual's performance across multiple applications of treatment to performance of other PWA and to other treatments with similar outcomes.