Module 4 Two-Way ANOVA Flashcards

1
Q

What is another name for a Two-way ANOVA?

A

Factorial ANOVA (multiple factors)

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

What is the main reason for running a Two-way ANOVA?

A

To look at the interaction between the two independent variables

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

What does interaction mean?

A

The effect that one independent variable has on the dependent variable is not the same for all levels of the other independent variable.

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

How can you EASILY find an interaction?

A

Graph: The lines are going in different directions
Table of means: No pattern in numbers

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

What does it mean if there is a pattern in data?

A

There is no interaction

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

What does it mean if there is not a pattern in data?

A

There is an interaction

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

What do the first two null hypotheses of a Two-way ANOVA test?

A

The main effects (the independent variables)

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

What does the last null hypothesis of a Two-way ANOVA test?

A

The interaction effect

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

Which is the most important null in a Two-way ANOVA?

A

The interaction null effect

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

True or False?
If the interaction is significant you MUST look at the main effects.

A

False. If the interaction is significant you DO NOT need to look at the main effects.

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

What MUST you do if the interaction is significant?

A

Explain the interaction

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

What must you do if the interaction is not significant?

A

Look at the main effects (independent variables)

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

What must you do if there is a significant difference between the main effects?

A

Run a post hoc test and determine if it is meaningful (effect size)

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