About this Course

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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.

Flexible deadlines

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Shareable Certificate

Earn a Certificate upon completion

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Intermediate Level

Understanding of Bachelor-level statistics.

Approx. 7 hours to complete

English

Skills you will gain

R Programming
Multilevel Regression

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Intermediate Level

Understanding of Bachelor-level statistics.

Approx. 7 hours to complete

English

Instructor

Instructor rating

4.4/5 (5 Ratings)

Erasmus Graduate School of Social Sciences and the Humanities Team

1,773 Learners

1 Course

Syllabus - What you will learn from this course

Week1

Week 1

10 minutes to complete

Errata

10 minutes to complete

1 reading

Week2

Week 2

3 hours to complete

Introduction to Multilevel Modeling (MLM)

3 hours to complete

4 videos (Total 41 min)

Week3

Week 3

2 hours to complete

Random Slopes and Cross-Level Interactions

2 hours to complete

6 videos (Total 41 min)

Week4

Week 4

3 hours to complete

Putting it all Together

3 hours to complete

2 videos (Total 24 min)

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I purchase the Certificate?
When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

More questions? Visit the Learner Help Center.

Multilevel Modeling