Factor Analysis in R

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5

(3)

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Course Features

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Duration

4 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

4 hours

Course Description

This course focuses on the importance of building models that match both data and theories when investigating variables that are not easily quantifiable. It helps you understand dimensionality and perform exploratory and confirmatory factor analyses, which are statistical techniques used to create and refine measures in fields such as economics, psychology, and education. The course also emphasizes the significance of sharing and distributing these measures. By learning how to conduct factor analysis using R, you will gain valuable skills in analyzing and interpreting complex data sets.

Course Overview

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Virtual Labs

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International Faculty

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Post Course Interactions

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Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Intermediate R

Foundations of Inference

What You Will Learn

Explore latent variables, such as personality using exploratory and confirmatory factor analyses

This course will help you understand dimensionality and show you how to conduct exploratory and confirmatory factor analyses

With these statistical techniques in your toolkit, you'll be able to develop, refine, and share your measures

Course Instructors

Author Image

Jennifer Brussow

Psychometrician at Ascend Learning

I m a researcher, programmer, and statistician with a Ph.D. in Research, Evaluation, Measurement, and Statistics from the University of Kansas. I spend most of my time analyzing data, thinking about ...

Course Reviews

Average Rating Based on 3 reviews

5.0

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