Texas A&M University, Department of Educational Psychology, 4225 TAMU, College Station, TX 77843-4225, USA.
Res Dev Disabil. 2012 Jul-Aug;33(4):1076-86. doi: 10.1016/j.ridd.2012.01.016. Epub 2012 Feb 23.
Video modeling with other as model (VMO) is a more practical method for implementing video-based modeling techniques, such as video self-modeling, which requires significantly more editing. Despite this, identification of contextual factors such as participant characteristics and targeted outcomes that moderate the effectiveness of VMO has not previously been explored. The purpose of this study was to meta-analytically evaluate the evidence base of VMO with individuals with disabilities to determine if participant characteristics and targeted outcomes moderate the effectiveness of the intervention. Findings indicate that VMO is highly effective for participants with autism spectrum disorder (IRD=.83) and moderately effective for participants with developmental disabilities (IRD=.68). However, differential effects are indicated across levels of moderators for diagnoses and targeted outcomes. Implications for practice and future research are discussed.
视频建模与他人作为模型（VMO）是一种更实用的方法，用于实现基于视频的建模技术，例如视频自我建模，这需要更多的编辑。尽管如此，识别参与者特征和目标结果等上下文因素，这些因素可以调节 VMO 的效果，但以前尚未对此进行探讨。本研究的目的是通过元分析评估 VMO 在残疾个体中的证据基础，以确定参与者特征和目标结果是否调节干预措施的有效性。研究结果表明，VMO 对自闭症谱系障碍（IRD=.83）患者非常有效，对发育障碍（IRD=.68）患者也较为有效。然而，在诊断和目标结果的调节因子水平上，效果存在差异。讨论了对实践和未来研究的影响。
