ANOVA Flashcards

1
Q

How do you put data into SPSS for an ANOVA for a within vs a between subject design?

A
  • Within: ACROSS
  • Between: DOWN
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2
Q

A One Way ANOVA can compare ____ or more independent groups

A
  • 3
  • One IV
  • All means should be equal for each Tx group starting out (X1, X2, Control)
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3
Q

What is the F test?

A
  • how much observed variability is explained by treatment means and how much is attributed to unexplained differences among subjects
  • Also known as sum of square
  • The bigger the F, the smaller thr p-value! This is what we want!
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4
Q

We do not like ____ in subjects for an ANOVA

A

variability

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5
Q

Total variability attributed the to the treatment effect (between groups) and the unexplained sources of ____ among subjects (within groups).

A
  • variance (error variance)
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6
Q

F tests are ____ tailed

A
  • 1
  • Only tell us the difference between at least two of the means
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7
Q

If the F is found to be large, what must be performed?

A

A post-hoc test to determine where the difference lies

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8
Q

Is this significant?
(F(2,12)=8.67,p-value<0.05)
(F(df, df = F=statistic, p-value)

A

Yes!

F equal or less than 1 is NOT significant

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9
Q

When looking at the SPSS value of ETA we want an effect size of ____ to know it is significant

A

Greater than 0.14

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10
Q

Two Way ANOVA

A
  • Involves** two** independent variables (each variable is a factor and is not repeated).
    Ex:
  • Effect of prolonged vs. quick stretch vs. control
  • At the same time we are examining knee position (flexed vs. extended).
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11
Q

This is an example of…

A

A 2 x 3 ANOVA

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12
Q

Main effect

A
  • Collapse factors (pooling) to get marginal means
  • Look at one factor at a time

Example
* Main effect for type of stretch (prolonged vs. quick vs. control) irrespective of knee position.
* Main effect for knee position (flexed vs. extended) irrespective of type of stretch.

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13
Q

Interaction Effects

A
  • Look at combinations of levels of each independent variable
  • Must plot!
  • If parallel, NO interaction
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14
Q

How would you interpret this graph?

A

No interaction, possible main effect

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15
Q

How would you interpret this graph?

A
  • Likely an interaction effect
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16
Q

An interaction is a significant difference between ____

A
  • simple effects
  • Examination of combinations of Tx’s
17
Q

when no interaction, discuss ____
If interaction, no significant main effects, discuss ____
Harder to interpret with interaction present and significant main effects!!! Look at ____ and ____

A
  • main effects
  • interaction
  • Disordinal interaction
  • Ordinal interaction
18
Q

What is this considered?

A
  • Disordinal interaction
  • Cannot draw any conclusions about the main effect of knee position. Ignore interpretation
19
Q

What is this considered?

A
  • Ordinal interaction
  • Relative ranking of level of stretch does not change with knee position.
  • The relative ranking of factor A (Type of Stretch) does not change with factor B (Knee Position). Prolonged stretching better.
20
Q

If a two way ANOVA is significant, what must be run?

A

post-hoc test