将多个基线设计的掩面和传统视觉分析进行比较
Katie Wolfe1, Art Dowdy2, John M Ferron3
1Department of Educational and Developmental Science, University of South Carolina, Columbia, SC, USA.
Journal of applied behavior analysis
|December 10, 2025
概括
蒙面视觉分析 (MVA) 在评估来自单个案例实验设计的真实数据时,显示了与传统视觉分析 (TVA) 相似的可靠性. 这种方法为控制研究分析中的错误提供了一个可行的替代方案.
科学领域:
- 行为科学 行为科学
- 研究方法研究方法研究方法学
- 心理测量 心理测量 心理测量
背景情况:
- 传统的视觉分析 (TVA) 是单个案例实验设计的标准.
- 对TVAI型错误率的担忧导致了掩盖视觉分析 (MVA) 的发展.
- 之前的MVA研究主要使用模拟数据.
研究的目的:
- 用真实数据和人类评分器来评估MVA的性能和可靠性.
- 在单个案例实验设计的背景下,将MVA与TVA进行比较.
- 在实践研究环境中评估MVA的有效性.
主要方法:
- 36名视觉分析师评估了来自多个基线设计跨参与者研究的9个图表.
- 图表以掩盖 (MVA) 和无掩盖 (TVA) 格式呈现.
- 计算了类间相关系数 (ICC),以评估MVA (0.625) 和TVA (0.579) 的可靠性.
主要成果:
- 对于MVA (ICC = 0.625) 和TVA (ICC = 0.579) 的可靠性与之前的发现相似.
- 在九个案例中,在六个案例中,MVA和TVA之间至少有75%的图表对应了分期决定.
- 该研究证明了使用现实数据来应用MVA的可行性.
结论:
- MVA是使用真实数据分析单个案例实验设计的可靠方法.
- MVA证明了控制I型错误的潜力,而不会显著地影响分析一致性.
- 建议对MVA和其他单个案例设计的分析方法进行进一步的研究.
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