Week 8: Analysis of Variance (ANOVA) Concepts

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24 Terms

1
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What is the purpose of ANOVA?

To compare means across three or more groups.

2
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What is One-Way ANOVA used for?

When groups are defined by a single variable.

3
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What is the test statistic in One-Way ANOVA based on?

Sum of Squares (SS).

4
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What does Between Groups Sum of Squares (SSb) measure?

How different group means are from one another.

5
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What are the degrees of freedom for Between Groups SS (SSb)?

G - 1, where G is the number of groups.

6
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What does Within Groups Sum of Squares (SSw) measure?

How much individuals within a group differ from their group mean.

7
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What are the degrees of freedom for Within Groups SS (SSw)?

N - G, where N is total observations.

8
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How is total variability calculated in ANOVA?

SStot = SSb + SSw.

9
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What does the F-Statistic represent in ANOVA?

The ratio of between-group variance to within-group variance.

10
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What does a large F imply in ANOVA?

Group means are highly different compared to within-group variability.

11
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What should be included in the write-up of ANOVA results?

Report means and SDs for each group, followed by the F-statistic F(df_between, df_within) = value, p = value.

12
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What function is used in R to calculate SS values in One-Way ANOVA?

aov() function.

13
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What is the purpose of the summary() function in R for ANOVA?

It runs hypothesis tests on the aov object.

14
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How is Effect Size (Eta-Squared, η²) calculated in ANOVA?

Calculated as SSb / SStot.

15
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What does Eta-Squared represent?

The proportion of total variance attributable to the grouping variable.

16
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What is the Bonferroni Correction used for?

To adjust p-values when running multiple comparisons.

17
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How does the Holm Correction differ from the Bonferroni Correction?

It is superior to Bonferroni with a lower Type II error risk.

18
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What test can be used if the residuals are not normally distributed?

Kruskal-Wallis Test.

19
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What is the purpose of Levene's Test in ANOVA?

To check for homogeneity of variance across all groups.

20
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What should be done if the assumption of independence is violated in ANOVA?

Ensure that observations are independent.

21
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What is Two-Way ANOVA used for?

When there is more than one grouping variable (factor).

22
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What does Two-Way ANOVA calculate?

SSb for each factor and for their interaction.

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What is an interaction in the context of Two-Way ANOVA?

When the effect of one factor depends on the level of another factor.

24
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How is the effect size calculated in Two-Way ANOVA in R?

Using the EtaSquared() function.