Week 4 Simple Between and One-Way ANOVA Flashcards

1
Q

What is the grand mean?

A

The mean of all group means

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2
Q

How to calculate within group deviations?

A

Subject score - group mean

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3
Q

How to calculate between group deviations?

A

Group mean - grand mean

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4
Q

How to calculate total deviation for a single score

A

Subject score - grand mean

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5
Q

What is partitioning?

A

Subdivision of the total deviation. Expressing an individual subjects score as a deviation from the grand mean

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6
Q

How to partition?

A

subscore - grand mean = (groupmean - grand mean) + (subscore - groupmean)

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7
Q

What are the two components of partitioning?

A

Between groups deviation (treatment effects) and Within groups deviation (error alone)

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8
Q

What is variance defined as?

A

v= sum of sq deviations from mean/ degrees of freedom

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9
Q

How is the total sums of squares obtained?

A

= sum (score - grand mean)2

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10
Q

What are sums of squares?

A

sum of the squared deviation scores

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11
Q

What must sums of squares be converted to for ANOVA?

A

mean squares!

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12
Q

How are mean squares calculated?

A

=SS/df

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13
Q

What are the assumptions of the One-Way ANOVA?

A

Independence (scores independent)
Normality
Homogeneity of Variance

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14
Q

What are the two types of type 1 error?

A

Per comparison

Familywise

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15
Q

What is per comparison?

A

considers probability of making type 1 error to be .05 for each comparison

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16
Q

What is familywise?

A

considers the probability of making one or more type 1 errors in a set of comparisons