Research Topic · Peer-Reviewed

Factor Analysis

Factor Analysis is a statistical method used to study the underlying structure of observed variables. It explains the relationships between certain observed variables, and is able to identify the effective and latent variables that underlie those observed variables. Factor Analysis is an important tool in fields suc…

Curated from this journal's research 📚 3 peer-reviewed articles cited Cited 14× across the literature 🔖 ISSN 2643-2811 🗓 Reviewed June 2026

Overview

Factor Analysis is a statistical method used to study the underlying structure of observed variables. It explains the relationships between certain observed variables, and is able to identify the effective and latent variables that underlie those observed variables. Factor Analysis is an important tool in fields such as marketing, psychology, sociology and economics, as it can help identify the elements of a phenomenon or behavior in order to better understand it. By uncovering the factors and their interrelationships, Factor Analysis can aid in the prediction and explanation of future trends or occurrences. It can also help researchers better understand how groups of people relate to one another and how they interact.

Research published in this journal

3 peer-reviewed articles, ranked by relevance. Each links to its DOI.

How this research is being cited

The 3 articles above have been cited 14 times in the scholarly literature. Citation data via OpenAlex and Crossref, updated Jun 2026.

A sample of recent works citing this journal's research on Factor Analysis, linking to each citing work.

Editorial oversight

Curated from peer-reviewed research published in Model Based Research (ISSN 2643-2811).

Journal editorial board
Yoshiaki Kikuchi · Japan Yung-Yao Chen · Taiwan Yang Chen · United States

This page summarises published research for orientation; it is not medical or professional advice.