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Structural Equation Modeling with lavaan in R

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4.9+
17 reviews
Updated 05/2025
Learn how to create and assess measurement models used to confirm the structure of a scale or questionnaire.
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RProbability & Statistics4 hours14 videos45 Exercises3,750 XP9,405Statement of Accomplishment

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Course Description

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 course, 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.

Prerequisites

Intermediate Regression in R
1

One-Factor Models

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2

Multi-Factor Models

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3

Troubleshooting Model Errors and Diagrams

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4

Full Example and an Extension

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Structural Equation Modeling with lavaan in R
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*4.9
from 17 reviews
94%
6%
0%
0%
0%
  • Ana Laura
    4 days

  • Shenilyn
    8 days

  • Diego
    15 days

  • Ricardo
    18 days

  • Zahida
    26 days

  • Brittany
    about 1 month

Ana Laura

Shenilyn

Diego

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