ANOVA Between Subjects Flashcards

1
Q

Why can’t multiple t tests be used to determine a difference between multiple means?

A

As number of comparisons increases, so does type 1 error probability

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2
Q

What is the formula for familywise error rate?

A

a_FW= ca’

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3
Q

What does ANOVA compare?

A

The size of the difference (variance) within groups compared to the size of the differences between groups.

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4
Q

What is the logic of statistical testing?

A

Observed differences relative to expected differences. (Our data - value under null, in proportion to (divided by) expected difference under the null)

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5
Q

What can between groups variability be due to? 3

A

Treatment effect/levels of factor 
Individual differences 
Experimental error

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6
Q

What can within groups variability be due to? And not due to?

A

Individual differences and experimental error NOT treatment effect

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7
Q

What are mean squares?

A

Unbiased estimate of population variance (based on df)

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8
Q

If the null is true, F values will be around __ ?

A

1

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9
Q

Why is the F distribution always positive?

A

Variances cant be negative because they are squared values

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10
Q

Do F tests provide directional tests?

A

No

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11
Q

What is SS_total?

A

Summed squares of each scores’ deviation from grand mean.

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12
Q

How many values are used to calculate SStreatment?

A

Number of group means minus one

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13
Q

How do you know which critical value is more conservative if there is no precise one on the table?

A

The higher critical value if trying to exceed it. (Smaller df for ANOVA)

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14
Q

What does and doesn’t ANOVA tell us?

A

Whether the means are different; which one is different

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15
Q

What is the df for SSerror?

A

The sum of N-1 for all groups; or N-k for equal size groups

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