Research Topic · Peer-Reviewed

Analysis of Variance

Analysis of Variance (ANOVA) is a statistical method used to compare the means of multiple groups. It is used to determine whether there are any significant differences between the means of two or more groups, and provides evidence to support or reject hypotheses. ANOVA is useful in many fields, ranging from researc…

Curated from this journal's research 📚 12 peer-reviewed articles cited Cited 24× across the literature 🔖 ISSN 2643-2811 🗓 Reviewed June 2026

Overview

Analysis of Variance (ANOVA) is a statistical method used to compare the means of multiple groups. It is used to determine whether there are any significant differences between the means of two or more groups, and provides evidence to support or reject hypotheses. ANOVA is useful in many fields, ranging from research in the natural sciences, to the social sciences, medicine, and business. By giving researchers a powerful tool to test meaningful relationships between different variables, it helps to identify factors that contribute to or limit a given outcome. ANOVA enables researchers to draw meaningful conclusions and improve their understanding of complex systems.

Research published in this journal

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

How this research is being cited

The 12 articles above have been cited 24 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 Analysis of Variance, 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.