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ANOVA
ANCOVA — Adjusting for a Covariate
Compare two teaching methods on post-test scores while statistically adjusting for pre-test differences. Pooled within-group slope, adjusted means, and the ANCOVA F-test.
📊 F(1,9) = 6.60, p = .030, η²p = .42
Step-by-step solution
📊 36 · ANCOVA — Adjusting for a Covariate
Comparing Two Teaching Methods, Adjusting for Pre-Test Score
ANOVA
Research Question:
Two groups of 6 students (Method A, Method B) took a post-test after instruction. But students didn't start at the same level — each also has a pre-test score. Does teaching method affect the post-test score once we statistically adjust for pre-test differences?
| Method A: Pre | Method A: Post | Method B: Pre | Method B: Post |
|---|---|---|---|
| 60 | 80 | 59 | 68 |
| 65 | 75 | 63 | 75 |
| 58 | 85 | 61 | 66 |
| 70 | 83 | 66 | 80 |
| 62 | 73 | 60 | 64 |
| 64 | 87 | 68 | 78 |
Adjusted group mean, using the pooled within-group regression slope b_w
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1Pre-test means are nearly identical, post-test means are not: Because the groups started almost level (63.17 vs. 62.83), the unadjusted post-test gap is unlikely to be a pre-existing-ability artifact — but ANCOVA still gives the statistically correct adjustment.
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2Pooled within-group regression slope (post on pre):
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3Adjusted post-test means:
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4ANCOVA F-test:
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5Decision rule: p = .030 < .05 → reject H₀ → Method A produces significantly higher adjusted post-test scores than Method B, controlling for pre-test.
80.38 / 71.95
Adjusted means (A/B)
6.60
F(1,9)
.030
p
.423
η²_p
🔴 Significant — F(1,9) = 6.60, p = .030, η²_p = .42. Method A's adjusted post-test mean (80.38) exceeds Method B's (71.95).
APA-7
A one-way ANCOVA was conducted, with pre-test score as the covariate. After adjusting for pre-test differences, there was a significant effect of teaching method on post-test scores, F(1, 9) = 6.60, p = .030, η²p = .42. Method A had a significantly higher adjusted mean (M = 80.38) than Method B (M = 71.95).