4.2 Read 87 reviews
Featured byRadboud University
Overview
Key facts
- The complexity of these relations goes beyond what is possible in multiple regression (or ANOVA). Therefore, with SEM we can study a greater variety of research questions. In addition, with SEM we can overcome some of the problems in multiple regression (or ANOVA) e.g., measurement error in the independent variables.
- During Radboud University's Structural Equation Modelling first two days we will start with an intuitive approach to SEM.
- This will help to understand what SEM is about; namely explaining relationships between (observed and latent) variables. We will cover estimation procedures and assumptions, model evaluation and testing. Model evaluation is of paramount importance, there are more than 50 ways to evaluate models in SEM.
- This makes it difficult to decide whether a model is to be rejected or accepted. These topics will be explained via in-class illustrations.
- These illustrations will introduce the topics for the last 3 days of the course. During the third day, causality is covered. The topic of causality is often avoided in courses on SEM.
Programme Structure
Course include:
- Participants will be able gain experience on the topics discussed in this course via self-study assignments.
- Participants should install R-Studio and the package lavaan. Lavaan is an acronym for latent variable analysis.
- It was developed by Yves Rosseel to provide a collection of tools that can be used to explore, estimate, and understand a wide family of latent variable models, including factor analysis, longitudinal, multilevel, latent class, item response, and missing data models.
- After this course, participants will be able to use SEM in a variety of common research situations.
- In addition, they will have a strong critical basis for using SEM in more complex situations. Please note that this course requires basic knowledge of regression analysis
Key information
Duration
- Full-time
- 5 days
Start dates & application deadlines
- StartingApplication deadline not specified.
Language
English
Credits
2 ECTS
Delivered
On Campus
Disciplines
Mathematics View 9 other Short Courses in Mathematics in NetherlandsAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Student insurance
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:
- Additional medical costs (i.e. dental)
- Repatriation, if something happens to you or your family
- Liability
- Home contents and baggage
- Accidents
- Legal aid
We partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.
Get your student insurance nowStarting from €0.53/day, free cancellation any time.
Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at Radboud University and/or in Netherlands, please visit Student Insurance Portal.
Other requirements
General requirements
- A solid understanding of regression analysis.
- A basic understanding of statistical testing.
Tuition Fee
To always see correct tuition fees
-
International
1049 EUR/fullTuition FeeBased on the tuition of 1049 EUR for the full programme during 5 days. -
National
1049 EUR/fullTuition FeeBased on the tuition of 1049 EUR for the full programme during 5 days.
Living costs for Nijmegen
800 - 1000 EUR /month
Living costs
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Improve page content