Topic 8/9: Between subject Factorial Anova_Repeated Measure ANOVA Flashcards

1
Q

Factorial design

A

More than 1 IV each with 2 or more levels

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2
Q

Between- subjects factorial ANOVA assumptions: (3)

A
  1. All groups are independent of eachother
  2. Populations are normally distributed
  3. Populations have equal variances
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3
Q

The Factorial ANOVA for a two factor design answers each of the following questions:
It does it by ….

A
  1. Is there a main effect of the first IV
  2. Is there a main effect of the second IV
  3. Is there an interaction effect between the two IVs?
    By giving us an F-ratio for each of the questions that are asked
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4
Q

When you have alot of diff conitions

A

we get a smaller and smaller critical F to account for that

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5
Q

Null hypothesis/ alternative hypothesis for main effects and interactions

A
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6
Q

Assumption of repeated Measures ANOVA (3)

A
  1. Normally distributed data
  2. Homogenity of variance (Variance between Ps)
  3. Sphericity (variance between levels)
    - Refers to the variances of the differences between all combinations of levels of the within-subjects factor
    - Assumes that these differences are roughly equal
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7
Q

Repeated Measures ANOVA is robust to …. but not….

A
  • violations of normality and homogenity
  • sphericity
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8
Q

Sphericity example

A
  • Marginal mean of treatment time are all roughly the same
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9
Q

Mauchly’s test of sphericity

A
  • If p> 0.05 assume sphericity assumption met
  • If p<0.05 sphericity assumption is violated
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10
Q

Hypothesis for repeated Measure ANOVA

A

Same as one way independent anova

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11
Q

Rejecting null for repeated measure ANOVA what is it phrased like?

A

At least one mean is different from another

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