Presenting results from two-way anova experiments: Principles and best practices

Two-way analysis of variance (ANOVA) is a widely applied statistical technique in experimental research for evaluating the effects of two independent factors and their interaction on a response variable. Despite its routine use across biological, agricultural, food, and environmental sciences, inappropriate presentation of two-way ANOVA results remains a persistent weakness in scientific manuscripts. Common problems include neglecting interaction effects, overemphasizing p-values, inadequate use of tables and figures, and unclear narrative descriptions. This review provides a comprehensive guideline for presenting results from two-way ANOVA experiments in a clear, rigorous, and journal-acceptable manner. Emphasis is placed on structuring results sections, reporting main and interaction effects, selecting appropriate graphical representations, and writing concise yet informative narratives. Real experimental examples are used throughout to illustrate best practices. These guidelines aim to improve transparency, reproducibility, and interpretability of experimental findings.