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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/multiphase-optimization-strategy
课程评论：没有评论
课程名称：多相优化策略（MOST）简介 概述：本课程旨在为任何领域的干预科学家提供一个创新的干预研究框架，包括公共健康、教育、刑事司法等。课程将教您如何运用多相优化策略（MOST）来简化干预措施，通过消除不活跃组件，识别在既定实施预算内提供最大效果的组件组合，开发可立即扩展的干预措施，探讨“黑箱”内部，了解哪些干预组件有效、哪些无效，以及如何随着时间的推移系统性地改进干预措施。您将把MOST框架与您的研究目标联系起来，了解MOST与标准干预开发和评估方法的不同，学习如何完成MOST的准备和优化阶段，并熟悉能够有效检验单个干预组件表现的严谨实验设计。 课程大纲： - 第一周：MOST是一种不同的思维方式 - 第二周：准备阶段：成功优化的基础 - 第三周：引入因子优化试验 - 第四周：因子实验的一些概念和技术方面 - 第五周：干预优化研究的严谨和负责任的实施 - 第六周：完成优化阶段并确定下一步行动 通过本课程，学员将获得在干预开发和评价中的新视角和实用技能，促进研究的有效性和效率。
Part: 1
Title:Week 1 - MOST is a different way of thinking
Description:Week 1 - MOST is a different way of thinking
Part: 2
Title:Week 2 - The preparation phase: Laying the foundation for successful optimization
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Part: 3
Title:Week 3 - Introduction to the factorial optimization trial
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Part: 4
Title:Week 4 - Some conceptual and technical aspects of the factorial experiment
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Part: 5
Title:Week 5 - Rigorous and responsible conduct of intervention optimization research
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Part: 6
Title:Week 6 - Completing the optimization phase and identifying your next steps
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This course is aimed at intervention scientists working in any area--including public health, education, criminal justice, and others—interested in learning about an innovative framework for conducting intervention research. This course will show you how to use the multiphase optimization strategy (MOST) to: streamline interventions by eliminating inactive components; identify the combination of components that offers the greatest effectiveness without exceeding a defined implementation budget; develop interventions for immediate scalability; look inside the “black box” to understand which intervention components work and which do not; and improve interventions programmatically over time. In this course you will relate the MOST framework to your research objectives; learn how MOST differs from the standard approach to intervention development and evaluation; learn how to complete the preparation and optimization phases of MOST; and become familiar with rigorous and highly efficient experimental designs that will enable you to examine the performance of individual intervention components.
