One-Way ANOVA Flashcards

1
Q

When is an ANOVA used?

A

When there are 3 or more independent groups

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2
Q

What type of data does a ANOVA use?

A

Parametric (interval or ratio)

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3
Q

What does a one-way ANOVA compare?

A

The means between the groups you are interested in and determines whether any of those means are significantly different from each other

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4
Q

The one-way ANOVA is an omnibus test statistic what does this mean?

A

It cannot tell you which specific groups were significantly different from each other, only that at least two groups were

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5
Q

In order to determine which specific groups differed from each other what kind of test will you need to run?

A

Post-hoc test

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6
Q

State the null hypothesis for a one-way ANOVA

A

H₀: u₁ = u₂ = u₃ = u₄ = u₅ …

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7
Q

What value do you calculate to determine if there is a significant difference between groups?

A

F-statistic`

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8
Q

How do you calculate F?

A

F value = average variance between groups / average variance within groups

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9
Q

When can we reject the null?

A

When our calculated F > Table F value
OR
Our p-value < level of significance (usually 0.05)

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10
Q

When should you run a post-Hoc test?

A

only when you have a shown an overall significant difference in group means (i.e., a significant one-way ANOVA result)

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11
Q

What are the 2 types of post-Hoc tests?

A
  • Tukey’s honestly significant difference

- Scheffé post-hoc tests

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