One-Way RM ANOVA Flashcards

1
Q

RM

A

Repeated Measures

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2
Q

Ss

A

Subjects

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3
Q

One-Way RM ANOVA

A

Analysis of variance when you have one nominal IV, one interval/ratio DV, and the levels of the IV are related. You use the same subjects/participants at each level.

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4
Q

One-Way RM ANOVA example

A

Recruit athletes and have them attempt to score as many goals as possible while being watched by 0 people, 5 people, and 100 people.

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5
Q

Source table labels

A

Sources: Between, IV, Ss, Within, and Total.

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6
Q

Calculating F-ratio

A
  1. Calculate SS:
    a. Calculate SS(b/w). You will be provided SS(IV) and SS(Ss)
    b. Calculate SS(Total)
    c. Calculate SS(w/in)
  2. Calculate dfs (5):
    a. Calculate df(IV)
    b. Calculate df(Ss)
    c. Calculate df(b/w)
    d. Calculate df(Total)
    e. Calculate df(w/in)
  3. Calculate MS (2):
    a. Calculate MS(IV)
    b. Calculate MS(w/in)
  4. Calculate F-ratio (1)
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7
Q

One-Way RM ANOVA hypothesis testing steps

A
  1. Compute F ratio
  2. Set criteria for decision: using df(IV), df(w/in), and α level
  3. Make a decision: if F > F[crit], results are sig and you can conclude that the IV has an effect on the DV; if F < F[crit], results are nonsig (IV does not have an effect on DV)!!
  4. Compute comparisons: Run a Tukey test if needed (only for sig results)
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8
Q

SS(b/w) formula

A

SS(IV) + SS(Ss)

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9
Q

SS(IV) definition

A

Group’s difference from GM

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10
Q

SS(Ss) definition

A

Ss’s difference from GM

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11
Q

SS(w/in) formula

A

SS(total) – SS(b/w)

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12
Q

SS(total) formula

A

SS(b/w) + SS(w/in)

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13
Q

df(b/w) formula

A

df(IV) + df(Ss)

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14
Q

df(IV) formula

A

k - 1

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15
Q

df(Ss) formula

A

N - 1

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16
Q

df(w/in) formula

A

df(total) - df(b/w)

17
Q

df(total) formula

A

(N * k) - 1

18
Q

MS(IV) formula

A

SS(IV)/df(IV)

19
Q

MS(w/in) formula

A

SS(w/in)/df(w/in)

20
Q

F-ratio formula

A

MS(b/w)/MS(w/in)

21
Q

F[crit] components

A

df(IV) as numerator df, df(w/in) as denominator df, α (alpha level)

22
Q

Post-hoc tests

A

Compare all means after conducting ANOVA

23
Q

Tukey test formula

A

q(x,y) = [M(x) - M(y)]/√(MS(within)/n). Use critical q-table to locate q(crit) after computing formula for each pairing of your IV levels.

24
Q

Tukey test steps

A
  1. Calculate denominator term
  2. Calculate q(x,y) - Tukey test formula
  3. Locate q(crit): use k, df(w/in), and α (alpha level)
  4. ID significant differences between means (interpret meaning in context of problem)
25
Eta squared (η2)
Percentage of variance in the DV that can be attributed to the IV.
26
η2 formula
η2 = SS(IV)/SS(total)