Factorial ANOVA Flashcards

1
Q

When do you use Between subjects 2 way ANOVA?

A

Wish to compare samples based on multiple categories with 2+ levels in each category

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2
Q

Qualities of 2 way ANOVA:

A

Two or more categorical IVs with 2+ levels. There is also one continuous variable

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3
Q

Fully crossed:

A

All possible combinations of factors represented

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4
Q

Between Subjects:

A

Different students in each possible combination

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5
Q

Within subjects:

A

Every person is in each possible combination

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6
Q

Mixed factorial ANOVA:

A

has a combination of between and within subjects. At least one IV has to be between and one has to be within

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7
Q

Name different design types:

A
  • Between subjects (Independent)
    Within subjects (repeated measures)
    Mixed (split plot)
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8
Q

Pros of Factorial ANOVA:

A

Greater generalizability, more powerful, answers different research questions, can investigate interactions

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9
Q

Which is more powerful, one way or factorial ANOVA?

A

Factorial

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10
Q

What is an example of research questions in factorial ANOVA?

A

Is the mean of a DV significantly different among the levels of A averaged across levels of B? (main effect of A)

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11
Q

What are interactions?

A

Occur when the effect of one factor on the DV depends on the level of the second factor

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12
Q

What is the variance formula for factorial ANOVA?

A

Total = Factor A + Factor B + A*B + Within

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13
Q

Sources of Between Group variability?

A

1 for each factor(the main effect) and 1 for each interaction

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14
Q

What is the formula for df in Factors A and B?

A

(A) df: J-1 (J is the # of levels)
(B) df: K -1 )K is the # of levels)

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15
Q

What is the df formula for the interaction between A and B?

A

dfa*b: (K-1)(J-1)

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16
Q

What is the formula for dfw?

A

N - (J*K)

17
Q

What is the df for the total sample?

A

Dft: N-1

18
Q

How do you calculate the MS for factorial ANOVA?

A

SS/df

19
Q

How do you calculate the f for factorial ANOVA?

A

MS/MSwithin

20
Q

How many unique cells are in 3x4 factorial ANOVA?

A

12

21
Q

What is the formula for calculating SS in a 2 way factorial ANOVA?

A

SStotal = SSa + SSb + SSab + SSwithin

22
Q

What is the SStotal?

A

Variability of Y ignoring group membership

23
Q

What is SSa?

A

Variability of Y explained by factor A

24
Q

What is SSb?

A

The variability of Y explained by factor B

25
Q

What is SSab?

A

Variability of Y explained by the interaction of AxB

26
Q

What is SSwithin?

A

Variability of Y within each cell

27
Q

When does a main effect occur?

A

When there is a difference between levels for one factor

28
Q

When does an interaction occur?

A

When the effect of one factor on Y depends on the particular level of the other factor. AKA if the difference between levels of one factor is difference, depending on the other factor

29
Q

What is eta-squared?

A

the amount of variance explained out of the total variance

30
Q

What is partial eta squared?

A

The amount of variance explained out of only the variance attributed to that effect and the error variance

31
Q

Can you have significant main effects if the interaction is non significant?

A

Yes

32
Q

Can you have significant interaction if the two main effects are non-significant?

A

Yes