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ANOVA
Two-Way ANOVA — Teaching Method × Class Size Interaction
Full 2×2 factorial ANOVA: main effects and significant interaction F(1,8)=5.16. SS decomposition and η².
📊 F_A=16.27, F_B=5.25, F_A×B=5.16
Step-by-step solution
🔀 12 · Two-Way ANOVA (Factorial Design)
Teaching Method × Class Size on Exam Scores
ANOVA
Research Question:
Does the effect of teaching method (Traditional vs. Active Learning) on exam scores depend on class size (Small ≤15 vs. Large >30)? N=24, n=6 per cell.
| Small Class (≤15) | Large Class (>30) | Row Mean | |
|---|---|---|---|
| Traditional | 68.0 | 70.0 | 69.0 |
| Active Learning | 82.0 | 74.0 | 78.0 |
| Column Mean | 75.0 | 72.0 | 73.0 (GM) |
SS Formulas (balanced design, n=6 per cell)
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1Main Effect A (Teaching Method):
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2Main Effect B (Class Size):
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3Interaction A×B — the key test:
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4Interpret the interaction: Active Learning produces a much larger gain in small classes (+14 pts) than in large classes (+4 pts). Simple main effect analysis confirms the interaction.
| Source | SS | df | MS | F | p | η²p |
|---|---|---|---|---|---|---|
| Method (A) | 492 | 1 | 492 | 16.27 | .001 | .448 |
| Class Size (B) | 60 | 1 | 60 | 1.98 | .174 | .090 |
| A × B Interaction | 156 | 1 | 156 | 5.16 | .034 | .205 |
| Error (Within) | 605 | 20 | 30.25 | |||
| Total | 1313 | 23 |
✅ Significant interaction A×B, F(1,20)=5.16, p=.034 — the benefit of Active Learning is significantly larger in small classes.
APA-7
A 2×2 between-subjects ANOVA revealed a significant main effect of teaching method, F(1, 20) = 16.27, p = .001, η²p = .45, and a significant Method × Class Size interaction, F(1, 20) = 5.16, p = .034, η²p = .21. Active Learning produced substantially larger gains in small (M = 82.0) than large classes (M = 74.0), whereas Traditional instruction showed minimal size effects.