Monthly Subscription Starting at AED 99 + VAT
- Level Professional
- المدة 8 ساعات hours
- الطبع بواسطة Erasmus University Rotterdam
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Offered by
عن
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.الوحدات
Errata for the Multilevel Modeling I Course
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1
Readings
1
Readings
- Errata
Video lectures
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2
Videos
2
Videos
- 1. Why We Need Multilevel Analysis
- 2. My First Multilevel Model
Quizzes
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1
Assignment
1
Assignment
- Intro to (Multilevel) Regression
Tutorials
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2
Videos
2
Videos
- Multiple Regression in R
- Multilevel Regression in R
Exercises and Answers
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1
Lab
1
Labs
- R-Exercise 1
Assignments and Answers
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1
Lab
1
Labs
- R-Assignment 1
Video lectures
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4
Videos
4
Videos
- Multilevel Models with Random Slopes
- Cross-level Interactions
- Methodological Considerations: (Dis)Aggregation
- Methodological Considerations: Centering
Quizzes
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1
Assignment
1
Assignment
- Random Slopes, Cross-level Interactions, and Centering
Tutorials
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2
Videos
2
Videos
- Random Slopes in R
- Cross-level Interactions in R
Exercises and Answers
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1
Lab
1
Labs
- R-Exercise 2
Video lectures
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1
Videos
1
Videos
- Steps of a Multilevel Analysis
Quizzes
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1
Assignment
1
Assignment
- Steps of a Multilevel Analysis
Tutorials
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1
Videos
1
Videos
- Steps of a Multilevel Analysis in R
Exercises and Answers
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1
Lab
1
Labs
- R-Exercise 3
Assignments and Answers
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1
Lab
1
Labs
- R-Assignment 2
Final Assignment
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1
Lab
1
Labs
- Final Assignment
Auto Summary
Explore the fundamentals of multilevel modeling with Dr. Joran Jongerling in this comprehensive course from Erasmus University Rotterdam. Ideal for PhD candidates and professionals, this course delves into two-level models with continuous response variables, using R for practical applications. Over 480 minutes, participants will understand how to analyze hierarchical data and handle missing data effectively. Available through Coursera with Starter and Professional subscription options, this course is perfect for those looking to deepen their knowledge in social sciences and humanities.
Erasmus Graduate School of Social Sciences and the Humanities Team