Two-Way Mixed ANOVA Flashcards

You may prefer our related Brainscape-certified flashcards:
1
Q

Two-Way Mixed ANOVA

A

An analysis of variance with 2 nominal IVs, one interval ratio DV, where one IV’s levels are unrelated (between-subjects) and the other IV’s levels are related (within-subjects).

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Between-subjects IV

A

The IV where the levels are unrelated; participants are randomly assigned to different groups.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

Within-subjects IV

A

The IV where the levels are related; participants are presented with all levels of the IV.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Main effect

A

Direct influence of IV on DV.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Interaction

A

Effect of IV1 in the presence of IV2.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

IV(B) df formula

A

k(IVB) - 1

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

IV(B-e) df formula

A

N - k(IVB)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

IV(W) df formula

A

k(IVW) - 1

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

IV(B) x IV(W) df formula (INT)

A

df(IVB) * df(IVW)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

IV(W-e) df formula

A

df(Total) - df(IVB) - df(IVW) - df(INT) - df(IVB-e)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

df(Total) formula

A

(k[IVB] * k[IVW] * n) - 1

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

MS formula

A

SS/df

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

F(IVB) formula

A

MS(IVB)/MS(IVB-e)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

F(IVW) formula

A

MS(IVW)/MS(IVW-e)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

F(IVBxIVW) formula

A

MS(IVBxIVW)/MS(IVW-e)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

Two-way mixed ANOVA steps

A
  1. Compute F-ratios
  2. Set criteria for decisions
  3. Make decisions
  4. Interpret (w/ comparisons if needed)
17
Q

Significant interaction

A
  1. Conduct simple effects
  2. k = 2 in simple effects ANOVAs: interpret significant mean differences in context of problem
  3. k = 3+ in simple effects ANOVAs: Run a Tukey or a priori comparison test, then interpret significant mean differences in context of problem
18
Q

Significant main effect

A
  1. k = 2: Interpret significant mean differences in context of problem
  2. k = 3+: Run a Tukey or a priori comparison test, then interpret significant mean differences in context of problem
19
Q

No significant result

A

Interpret in context of problem