ANOVAs Flashcards

1
Q

ANOVA

A

-compares 3+ means
-when more than 1 IV
-tests for difference but not what differs
-F statistic

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2
Q

One-Way Repeated Research Design

A

-one group doing the same thing over titme

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3
Q

Posttest-Only Randomized Group

A

-randomized
-2+ groups that are only measured after the intervention

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4
Q

Posttest-Only Non-Randomized Research Design

A

-not randomized
-2+ groups that are only measured after the intervention

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5
Q

Factorial-Fully Independent Research Design

A

-with or without randomization
-each intervention has subsets
-2+ interventions at the same time
-each person stays in the same group the whole time
-look for interactions, main effect of each IV
-if interaction is significant (crossing lines), dont worry about main effects (differing)= run simple effects

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6
Q

Factorial-Fully Repeated Research Design

A

-each intervention has subsets
-2+ interventions at the same time
-all participants switch groups throughout the study

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7
Q

Factorial Mixed Research Design

A

-with or without randomization
-Participants in designated groups move through several parts
-most common in PT

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8
Q

One Way independent ANOVA

A

-one IV
-is there a difference somewhere?
-3 kinds of viagra and their effects

-non parametric: Kruskal-Wallis

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9
Q

One way Repeated Measures ANOVA

A

-one repeated IV
-travel through time

-Sphericity: variannces of the differences are equal
-tested using Mauchley’s test, dont want sig

Non parametric: friedman’s ANOVA

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10
Q

2x2 independent ANOVA

A

-2 or + IVs
-look for significant differences NOT interactions (factorial)

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11
Q

2x2 Repeated Measures ANOVA

A

-2 or more repeated IVs

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12
Q

2x2 Mixed or Split plot ANOVA

A

-2 or more IV
-at least 1 is independent and one is repeated

Ex: 3 groups being tested 5 times

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13
Q

OMNIBUS Test

A

-F(x,y)=#,
x= groups
y=people
df= degrees of freedom
f= bigger=more significant

does not alter alpha level, post tests do

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14
Q

Planned Contrasts

A

-additional test to determine which groups differ from each other
-more statistical advantage
-must be done prior
-a prori

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15
Q

Post-Hoc Comparisons

A

-additional test to determine which groups differ from each other after ANOVA
-not planned
-control the alpha level
-test all pairwise comparisons

Bonferroni: controlls for type 1, only small variances, normality, better if small

Turkey: controlls for type 1, only small variances, normality, better if large

Games-Howell: liberal when smaple is small, if variances arent homogenous

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16
Q

Pairwise

A

-only 2 means
-no interactions
-report main effects only (dont divide alpha for main effects)

total= (tests)^2

17
Q

Simple Effects

A

-run after ANOVA
-only if significant or interactions are found
-divide by tests run

-interactions within groups (3 DV = 9 tests)
-number of one way comparisons (not individual tests, just directions (3 dv and 3 iv= 6 one way)

18
Q

Kruskal-Wallis Test

A

-non parametric equivalannt to independent 1 way anova
-doesnt meet asumptions
-compares means

19
Q

Friedman’s ANOVA

A

-non parametric equivalent to RM one way ANOVA

20
Q

Covariates

A

-test ofr differences between means when you have outliers
-used to control extraneous variables

21
Q

ANCOVA

A

-ANOVA with covariates

22
Q

MANOVA/MANCOVA

A

-multiple dependent variables measured in a ANOVA or ANCOVA
-better than multiple ANOVAs
-DFA (discriminant function analysis): used to determine which of 4 DVs is best, run after MANOVA

23
Q

Sphericity

A

-variannces of the differences are equal
-tested using Mauchley’s test, dont want sig
-only when interactions occur (no independent ANOVAs)

24
Q

Mann Whitney U

A

Non parametric for independent t test
-ranks means