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Structural Equation Modeling with lavaan in R Data Camp

Highlights
Tuition fee
Free
Free
Free
Unknown
Tuition fee
Free
Free
Free
Unknown
Duration
1 days
Duration
1 days
Apply date
Anytime
Unknown
Apply date
Anytime
Unknown
Start date
Anytime
Unknown
Start date
Anytime
Unknown
Taught in
English
Taught in
English

About

In this Structural Equation Modeling with lavaan in R course offered by Data Camp you will learn how to create and assess measurement models used to confirm the structure of a scale or questionnaire.

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

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Campus Location

  • New York City, United States

What students do after studying

Join for free or log in to access our complete career info list.

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

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
  • International

    Non-residents
    Free
  • Out-of-State
    Free
  • Domestic

    In-State
    Free

Additional Details

This course can be accessed for free with the Data Camp Premium or Teams subscriptions

Funding

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