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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/mlm
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课程名称：多层次建模 课程概述：本课程为博士候选人介绍多层次建模理论，重点关注具有“连续”响应变量的两层多层次模型。参与者将学习如何在R中运行基本的两层模型。课程的目标是使学员熟悉多层次模型，这些模型通常用于分析“层次”数据，其中观察值嵌套在更高层次单元中（例如，重复测量嵌套在个体内，或学生嵌套在学校内）。在这种类型的数据中，结果的原因（例如，学生在学校的表现）位于个体层面（例如，个人和父母资源）以及某些个体共享的更高层次的上下文层面（例如，班级和教师的特征）。因此，独立观察的假设在层次数据中被违反，而多层次建模可以轻松处理这一问题。此外，多层次建模在大多数情况下能够有效应对缺失数据。 本课程由荷兰鹿特丹的伊拉斯姆斯大学社会科学与人文学院（EGSH）代表Dr. Joran Jongerling设计和授课。如有关于课程组织或内容的问题，请通过邮件联系contact@egsh.eur.nl。 课程大纲： - 名称：误差修正 - 描述： - 名称：多层次建模（MLM）介绍 - 描述： - 名称：随机斜率与跨层次交互作用 - 描述： - 名称：综合应用 - 描述：
Name:Errata
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Name:Introduction to Multilevel Modeling (MLM)
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Name:Random Slopes and Cross-Level Interactions
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Name:Putting it all Together
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In this course, PhD candidates will get an introduction into the theory of multilevel modelling, focusing on two level multilevel models with a 'continuous' response variable. In addition, participants will learn how to run basic two-level model in R. The objective of this course is to get participants acquainted with multilevel models. These models are often used for the analysis of ‘hierarchical’ data, in which observations are nested within higher level units (e.g. repeated measures nested within individuals, or pupils nested within schools). In this type of data causes of outcomes (e.g. the performance of pupils in schools) are located both at the level of the individual (e.g., own and parental resources), and at a higher, contextual, level shared by some of the individuals (e.g. characteristics of the class and of the teacher). Because of this, the assumption of 'independent observations' is violated with hierarchical data, but multilevel modelling can easily account for that. Moreover, multilevel modelling can easily deal with missing data (in most circumstances). This course is designed and presented by Dr. Joran Jongerling on behalf of the Erasmus Graduate School of Social Sciences and the Humanities (EGSH, www.egsh.eur.nl) of the Erasmus University Rotterdam in the Netherlands. Should you have any questions about the organization or contents of the course, please send us an email at contact@egsh.eur.nl.
