分布调节分析:干预研究中的解封调节效应
Wolfgang Wiedermann1, Wendy M Reinke1, Keith C Herman1
1University of Missouri, Missouri Prevention Science Institute, USA.
Journal of school psychology
|December 22, 2024
概括
分布适度分析揭示了超出平均值的微妙干预效应. 这种方法使用了位置,规模和形状 (GAMLSS) 的通用添加模型,可以全面了解干预如何影响结果的各个方面.
科学领域:
- 统计建模 统计建模
- 干预研究研究干预研究
- 教育心理学教育心理学
背景情况:
- 传统的调节和子组分析侧重于平均干预效应.
- 干预效应异质性可以表现出超出群体平均值,影响差异,斜率,曲化和规模终点.
- 现有的方法可能无法完全捕捉干预效应修饰剂的复杂性.
研究的目的:
- 介绍使用膨胀的位置,规模和形状 (GAMLSS) 的通用添加模型进行分布式调节分析.
- 通过建模各种分布参数,提供一个框架,以整体地描述干预效应修饰剂.
- 在以学校为基础的干预研究中展示分布式适度分析的应用.
主要方法:
- 使用膨胀的通用增材模型的位置,规模和形状 (GAMLSS) 的框架.
- 同时建模了基于条件平均值,方差,斜率和曲率的干预效应.
- 分析了响应尺度终点 (地板/天花板效应) 的适度治疗效应,使用了对课堂管理的随机对照试验的数据.
主要成果:
- 传统的以平均值为重点的分析表明,干预措施只能减少接受特殊教育的学生的破坏性行为.
- 分布适度分析显示,风险学生的破坏性行为总体下降.
- 种族调节了平均下降,特殊教育地位影响了不表现破坏性行为的可能性,而不是平均行为本身.
结论:
- 与传统方法相比,分布适度分析提供了更细致的治疗效果修饰剂的特征.
- 这种方法为了解复杂干预影响提供了一个有价值的补充工具.
- 该研究强调了研究超越条件平均值的影响的重要性,以充分理解干预的有效性.
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