Welcome to the InfoSci Platform
Reference Hub1
Factor Analysis

Factor Analysis

Copyright: © 2017 |Pages: 31
ISBN13: 9781683180166|ISBN10: 168318016X|EISBN13: 9781522519898
DOI: 10.4018/978-1-68318-016-6.ch007
Cite Chapter Cite Chapter

MLA

Rui Sarmento and Vera Costa. "Factor Analysis." Comparative Approaches to Using R and Python for Statistical Data Analysis, IGI Global, 2017, pp.148-178. https://doi.org/10.4018/978-1-68318-016-6.ch007

APA

R. Sarmento & V. Costa (2017). Factor Analysis. IGI Global. https://doi.org/10.4018/978-1-68318-016-6.ch007

Chicago

Rui Sarmento and Vera Costa. "Factor Analysis." In Comparative Approaches to Using R and Python for Statistical Data Analysis. Hershey, PA: IGI Global, 2017. https://doi.org/10.4018/978-1-68318-016-6.ch007

Export Reference

Mendeley
Favorite

Abstract

Factor analysis is a statistical method used to describe variability among observed, correlated variables. The goal of performing factor analysis is to search for some unobserved variables called factors. The observed variables are modelled as linear combinations of the possible factors, added the error quantification of this approximation. This added information about the interaction of observed variables could be used for further analysis of the importance of each variable in the context of the dataset. This way, some observed variables are substituted by a set of latent variables in a lower amount, and that, therefore, represents the data in a summarized fashion.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.