Chp 8: Factorial Design Flashcards

1
Q

What is factorial treatment structure?

A

Where g treatments are comprised of all factor-level combinations of 2 (or more) factors

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2
Q

In a balanced design, with more than two factors, what is the total sample size N?

A

abn
where a is the levels in factor 1
b is the levels in factor 2
n is the number of experimental units in each combo

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3
Q

How many parameters are there in a balanced design with more than two factors?

A

a*b

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4
Q

What is the interaction of factors A and B?

A

The effect of A on Y which depends on B
Denoted:
alphaß_ij

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5
Q

What parameters do we have in the mean effects model with more than one factor?

What constraints do we have?

A

µ
a
b
alphaß

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6
Q

When visually checking interactions, we check to see that…

A

The lines are roughly parallel

If they aren’t parallel, we’ll look for how and where they are not parallel. This suggests a true interaction!

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7
Q

What does it mean if two factors are “crossed”?

A

It means g treatments are comprised of all factor-level combinations of 2 (or more) factors

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8
Q

What is a two-way ANOVA?

A

When the factors are crossed

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9
Q

If an interaction tests as significant, then…

A

Consider two interaction plots to see how the interaction is significant!

  • It looks at the means for each “cross” of the levels of the interactions
  • which points in the interaction plot are causing the non-parallel-ness?
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10
Q

If an interaction (AB) does not test as significant, then…

A

1) Look at the main effects (A,B)
2) If A or B test significan, do posthoc tests to characterize (pairwise comparisons, adjusted for multiple comparisons)

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11
Q

When can we use REGWQ?

A

When it’s a balanced design with just one factor.

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12
Q

What do we use if we can’t use REGWQ?

A

Tukey test!

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13
Q

How do we get a partial R^2?

A

SS_effect / SS_total

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14
Q

When can we partition an R^2 into a partial R^2?

A

When we have a balanced design.

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