IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Factor Analysis

Factor Analysis
View Sample PDF
Copyright: 2017
Pages: 31
Source title: Comparative Approaches to Using R and Python for Statistical Data Analysis
Source Author(s)/Editor(s): Rui Sarmento (University of Porto, Portugal)and Vera Costa (University of Porto, Portugal)
DOI: 10.4018/978-1-68318-016-6.ch007

Purchase

View Factor Analysis on the publisher's website for pricing and purchasing information.

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.

Related Content

N. Geethanjali, K. M. Ashifa, Avantika Raina, Jayashree Patil, Rameshwaran Byloppilly, S. Suman Rajest. © 2024. 19 pages.
Praveen Kakada, Muhammed Shafi M. K.. © 2024. 14 pages.
P. S. Venkateswaran, Divya Marupaka, Sachin Parate, Amit Bhanushali, Latha Thammareddi, P. Paramasivan. © 2024. 15 pages.
M. Lishmah Dominic, P. S. Venkateswaran, Latha Thamma Reddi, Sandeep Rangineni, R. Regin, S. Suman Rajest. © 2024. 15 pages.
S. Sivabala, P. Vidyasri. © 2024. 23 pages.
H. Hajra, G. Jayalakshmi. © 2024. 22 pages.
Anusha Thakur. © 2024. 15 pages.
Body Bottom