Structural Equation Modeling with lavaan in R

Starting at USD 39.00
4 hours duration

Learn how to create and assess measurement models used to confirm the structure of a scale or questionnaire.

In this course, participants will delve into the intricacies of data analysis by utilizing structural equation modeling (SEM) with the R programming language, specifically employing the lavaan package. SEM offers a comprehensive approach to understanding the interconnections and structure of data, enabling the creation of predictive models for future events. Throughout the course, participants will gain proficiency in handling latent and manifest variables, constructing measurement models, evaluating the accuracy of these models, and rectifying inadequately fitting models. Additionally, participants will have the opportunity to explore renowned SEM datasets, including the Holzinger and Swineford (1939) and Bollen (1989) datasets. Furthermore, a multi-factor model case study utilizing the Wechsler Adult Intelligence Scale will be undertaken. By the conclusion of this course, participants will possess the skills necessary to conduct in-depth analyses of their own data, facilitating a comprehensive understanding of its underlying structure.

About Provider

DataCamp
DataCamp
Online Education Provider ยท 410 courses
Description
DataCamp is an online learning platform that offers interactive courses and tutorials for data science and analytics. It provides a wide range of courses covering topics such as Python, R, SQL, machine learning, data visualization, and more. The platform offers a hands-on learning experience through coding exercises and projects, allowing users to practice and apply their skills in real-world scenarios. DataCamp also offers a personalized learning experience with adaptive learning technology that adjusts the course content based on the user's skill level and progress. It is widely used by individuals, professionals, and organizations to enhance their data science skills and stay up-to-date with the latest trends and technologies in the field.
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