Overview
Context
When working with data, we often want to create models to predict future events, but we also want an even deeper understanding of how our data is connected or structured.
In this Structural Equation Modeling with lavaan in R course offered by Data Camp, you will explore the connectedness of data using using structural equation modeling (SEM) with the R programming language using the lavaan package.
SEM will introduce you to latent and manifest variables and how to create measurement models, assess measurement model accuracy, and fix poor fitting models.
During the course, you will explore classic SEM datasets, such as the Holzinger and Swineford (1939) and Bollen (1989) datasets. You will also work through a multi-factor model case study using the Wechsler Adult Intelligence Scale.
Following this course, you will be able to dive into your data and gain a much deeper understanding of how it all fits together.
Programme Structure
Chapters
- One-Factor Models
- Multi-Factor Models
- Troubleshooting Model Errors and Diagrams
- Full Example and an Extension
Key information
Duration
- Part-time
- 1 days
Start dates & application deadlines
Language
Delivered
Campus Location
- New York City, United States
Disciplines
Statistics View 109 other Short Courses in Statistics in United StatesWhat students do after studying
Academic 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.
Other requirements
General requirements
PREREQUISITES
- Intermediate Regression in R
Tuition Fees
-
International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
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Domestic
Applies to youIn-StateFree
Additional Details
This course can be accessed for free with the Data Camp Premium or Teams subscriptions