One-Way RM ANOVA Flashcards

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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
Q

Eta squared (η2)

A

Percentage of variance in the DV that can be attributed to the IV.

26
Q

η2 formula

A

η2 = SS(IV)/SS(total)