Mixed ANOVA Flashcards

1
Q

between-subjects

A

independent measures

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2
Q

within-subjects

A

repeated measures

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3
Q

what is mixed anova and what does it test?

A

1+ w-s factor and 1+ b-s factor

tests a main effect for each factor and an interactive effect of the factors

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4
Q

do you check homogeneity of variances of sphericity in mixed anova?

A

both

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5
Q

when is sphericity assumption violated?

A

when differenced aren’t equal (sig. value)

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6
Q

Box’s test of equality of covariance

A

homogeneity of intercorrelations (for each level of w-s should be same)

box’s M statistic

violated if p<.001 (we want the stat to be non-sig. >.001)

unequal sample sizes

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7
Q

SPSS outputs

A
  • w-s factors (factor levels)
  • b-s factors (factor levels)
  • descriptive stats (means and SDs)
  • Box’s test of equality of covariance matrices (want a non-sig stat)
  • Mauchly’s test of sphericity (want a non-sig stat)
  • tests of w-s effects (ANOVA stats for main effects/interaction)
  • Levene’s test of equality of variances (want non-sign stat)
  • tests of b-s effects (df, f ratio etc)
  • estimated marginal means (main effects means)
  • profile plots (non-parallel = sig. interaction)
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8
Q

formally reporting ANOVA

A
  • anova type, effect of factor on DV
  • means and SDs in table or text
  • assumptions (sphericity, homogeneity of variance, homogeneity of covariances)
  • anova results (df, f ratio and p value)
  • effect size and meaning for all main effects and interactions
  • report comparisons

interpret

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9
Q

follow up steps for mixed anova

A

(un)planned comparisons when 3+ factor levels

unplanned = no hypothesis - Bonferroni
planned = hypothesis - paired/independent samples t-test/planned comparisons

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