A one-way ANOVA answers whether means differ across 3+ independent groups. Here's the APA 7th edition write-up format, copy-paste ready.
Overall model:
A one-way ANOVA was conducted to compare [DV] across [k] groups. There was a statistically significant effect, F(df_between, df_within) = X.XX, p = .XXX, η² = .XX.
Post-hoc (if significant):
Tukey's HSD post-hoc comparisons indicated that Group A scored significantly higher than Group B, p = .XXX.
Non-significant:
There was no statistically significant effect of [IV] on [DV], F(df1, df2) = X.XX, p = .XXX.
Rules worth remembering: report eta-squared (η²) or partial eta-squared as the effect size, not just p; always report both between- and within-group df; run post-hoc tests only when the omnibus F is significant, and correct for multiple comparisons (Tukey, Bonferroni, or Games-Howell if variances are unequal).
If you'd rather generate these numbers from your own data than compute them by hand, the free StatMate ANOVA calculator runs the omnibus test, post-hoc comparisons, and effect size, and formats the output in this exact style.
Top comments (0)