2x2 and 3x2 Factorial ANOVAs

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Last updated 8:56 PM on 1/19/26
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9 Terms

1
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What are confidence intervals?

Confidence intervals give a range around a sample mean that is likely to contain the true population mean.

2
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How do you calculate a confidence interval?

CI = sample mean ± (Z × StE); StE = SD / √n

3
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How can confidence intervals be interpreted?

A 95% CI means 95% of CIs from repeated samples would contain the population mean; non-overlapping CIs suggest a likely meaningful difference.

4
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How should variables be nested in ANOVA?

Nest the high‑priority variable within the lower‑priority variable conceptually when forming or testing hypotheses.

5
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What should you do if your data violate sphericity?

Apply Greenhouse–Geisser or Huynh–Feldt corrections to adjust degrees of freedom.

6
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How should variables be plotted to best see an interaction?

Use a line graph with the lower‑priority variable on the x‑axis and the other variable shown as separate lines.

7
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What relationship between lines suggests an interaction?

Non‑parallel lines, indicating the effect of one variable depends on the level of the other.

8
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Which analyses follow up a significant interaction in a 3×2 ANOVA?

Run planned contrasts for the repeated‑measures factor and simple main effects to test the effect of one variable at each level of the other.

9
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What should you do if the interaction isn’t significant?

Do not run follow‑up interaction tests; interpret only the main effects.