Pular para o conteúdo principal
InícioR

Factor Analysis in R

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

Comece O Curso Gratuitamente
4 horas13 vídeos45 exercícios10.672 aprendizesTrophyDeclaração de Realização

Crie sua conta gratuita

GoogleLinkedInFacebook

ou

Ao continuar, você aceita nossos Termos de Uso, nossa Política de Privacidade e que seus dados são armazenados nos EUA.
Group

Treinar 2 ou mais pessoas?

Tentar DataCamp for Business

Amado por alunos de milhares de empresas


Descrição do Curso

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."

Para Empresas

GroupTreinar 2 ou mais pessoas?

Obtenha acesso à sua equipe à plataforma DataCamp completa, incluindo todos os recursos.
DataCamp Para EmpresasPara uma solução sob medida , agende uma demonstração.

Nas seguintes faixas

Estatístico in R

Ir para a trilha
  1. 1

    Evaluating your measure with factor analysis

    Gratuito

    In Chapter 1, you will learn how to conduct an EFA to examine the statistical properties of a measure designed around one construct.

    Reproduzir Capítulo Agora
    Introduction to Exploratory Factor Analysis (EFA)
    50 xp
    Starting out with a unidimensional EFA
    100 xp
    Viewing and visualizing the factor loadings
    100 xp
    Interpreting individuals' factor scores
    100 xp
    Overview of the measure development process
    50 xp
    Descriptive statistics of your dataset
    100 xp
    Splitting your dataset
    100 xp
    Comparing the halves of your dataset
    100 xp
    Measure features: correlations and reliability
    50 xp
    Viewing and testing correlations
    100 xp
    Internal reliability
    100 xp
    When to use EFA
    50 xp
Para Empresas

GroupTreinar 2 ou mais pessoas?

Obtenha acesso à sua equipe à plataforma DataCamp completa, incluindo todos os recursos.

Nas seguintes faixas

Estatístico in R

Ir para a trilha

conjuntos de dados

Generic Conspiracist Beliefs Scale (GCBS) dataset

colaboradores

Collaborator's avatar
Chester Ismay
Collaborator's avatar
Becca Robins
Jennifer Brussow HeadshotJennifer Brussow

Psychometrician at Ascend Learning

Ver Mais

O que os outros alunos têm a dizer?

Junte-se a mais de 15 milhões de alunos e comece Factor Analysis in R hoje mesmo!

Crie sua conta gratuita

GoogleLinkedInFacebook

ou

Ao continuar, você aceita nossos Termos de Uso, nossa Política de Privacidade e que seus dados são armazenados nos EUA.