为什么难以捉摸的期望 × 价值相互作用可能对理论和干预至关重要:模拟的权力分析
Michael W Asher1, Cameron A Hecht2, Judith M Harackiewicz3
1Human Computer Interaction Institute, Carnegie Mellon University.
概括
期望值的相互作用对于理解动机至关重要,但由于统计上的限制,往往被低估. 识别这些相互作用可以改善动机理论和干预措施.
科学领域:
- 心理学
- 动机科学
- 教育心理学
背景情况:
- 预期价值理论认为,动机源于任务成功的预期和感知价值.
- 从历史上看,期望与价值之间的相互作用被认为是关键的激励因素.
- 经验研究经常未能发现显著的期望 × 值相互作用,导致它们的重视不足.
研究的目的:
- 调查激励研究中的预期 × 价值相互作用的低估.
- 证明统计约束对检测这些相互作用的影响.
- 在激励模型和干预中继续强调期望 × 价值相互作用的重要性.
主要方法:
- 使用模拟数据进行了两次功率分析.
- 研究1检查了因测量误差,偏差和相关性导致的预期 × 值相互作用估计的负偏差.
- 第二项研究探讨了这些相互作用在激励干预中产生变异性的作用.
主要成果:
- 现实的统计约束可能会使预期 × 值交互估计偏差超过50%.
- 尽管观察到的效应规模很小,但这些相互作用对理解动机有很大贡献.
- 互动可以解释激励干预的有效性的有意义的变化.
结论:
- 由于统计局限性,预期 × 值的相互作用可能比通常认为的更重要.
- 低估这些互动可能会过分简化动机理论和干预策略.
- 承认期望 × 值的相互作用可以提高对治疗异质性的理解,并为更有效的干预提供信息.
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