Task 9 Chapter 10 Using Between Subjects And Within Subjects Experimental Designs

Question 1

What is a factorial design?

Answer 1

Incorporates two or more independent variables in a single experiment

Question 2

What is the main advantage of a factorial design?

Answer 2

Allows to asses the effect of each independent variable on the dependent variable separately

Question 3

What is the main effect?

Answer 3

The separate effect of each independent variable

Question 4

How do you calculate the main effects of your independent variables?

Answer 4

1. Average the group means in the first column and write the result under the first column
2. Do the same for the group means in the second column—> group means
3. average the group means across the first row and write the result to the right of the first row
4. Do the same for the second row—>row means

Question 5

What is interaction?

Answer 5

Present when the effect of one variable changes across the levels of another independent variable

Question 6

What are simple main effects?

Answer 6

Represents the effect of one iv (.e.g. memorization instruction) at a given level of the other independent variable (e.g role assigned)

Question 7

When can you tell in a graph that there might be interaction?

Answer 7

When the graph lines representing different levels of an independent variable are not parallel

Question 8

What are high order factorial designs?

Answer 8

Those that include any number of levels a given factor and any number of factors.

Question 9

What are two important problems that concern the number of subjects required to the design and complexity of potential interactions?

Answer 9

1. Extended factorial experiments tend to get out of hand quickly with the amount of subjects you need.
2. Number and complexity of the resulting interactions —> because data from such designs is hard to interpret most investigators limit factorial designs to no more than 3 factors