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Factor Analysis in R

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4.1+
12 reviews
Updated 12/2024
Explore latent variables, such as personality, using exploratory and confirmatory factor analyses.
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RProbability & Statistics4 hours13 videos45 exercises3,600 XP10,753Statement of Accomplishment

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Course Description

Discover Factor Analysis in R

The world is full of unobservable variables that can't be directly measured. You might be interested in a construct such as math ability, personality traits, or workplace climate. When investigating constructs like these, it's critically important to have a model that matches your theories and data.

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

Learn to Use Exploratory Factor Analysis and Confirmatory Factor Analysis

You’ll start by getting to grips with exploratory factor analysis (EFA), learning how to view and visualize factor loadings, interpret factor scores, and view and test correlations.

Once you’re familiar with single-factor EFA, you’ll move on to multidimensional data, looking at calculating eigenvalues, creating screen plots, and more. Next, you’ll discover confirmatory factor analysis (CFAs), learning how to create syntax from EFA results and theory.

The final chapter looks at EFAs vs CFAs, giving examples of both. You’ll also learn how to improve your model and measure when using them.

Develop, Refine, and Share Your Measures

With these statistical techniques in your toolkit, you'll be able to develop, refine, and share your measures. These analyses are foundational for diverse fields, including psychology, education, political science, economics, and linguistics."

Prerequisites

Intermediate RFoundations of Inference in R
1

Evaluating your measure with factor analysis

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2

Multidimensional EFA

Start Chapter
3

Confirmatory Factor Analysis

Start Chapter
4

Refining your measure and/or model

Start Chapter
Factor Analysis in R
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*4.1
from 12 reviews
33%
50%
17%
0%
0%
  • S.Satheesh K.
    11 months

    Easy to Understand and follow code.

  • Nicolas F.
    12 months

    This course goes over how to perform factor analysis which can be helpful for creating psychometric tests. I do not work on this field, but it was extremely helpful to see how the tests can be ran R.

  • Dimitris L.
    over 1 year

    excellent course

  • Edwin A.
    over 1 year

    A recommended course to learn about factor analysis in R.

  • Lucas S.
    about 1 year

    It gives you a short introduction, but it falls short of the importance of using theory to build instruments and analyze psychometric properties.

"Easy to Understand and follow code."

S.Satheesh K.

"This course goes over how to perform factor analysis which can be helpful for creating psychometric tests. I do not work on this field, but it was extremely helpful to see how the tests can be ran R."

Nicolas F.

"excellent course"

Dimitris L.

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