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Factorial Designs in Experimental Research Quiz

#1

What is factorial design in experimental research?

A design where two or more independent variables are manipulated
Explanation

Manipulation of multiple independent variables.

#2

Which of the following is a benefit of factorial designs?

They allow researchers to study interactions between variables
Explanation

Facilitates study of variable interactions.

#3

In a 2x2 factorial design, how many conditions are there in total?

4
Explanation

Total conditions in a 2x2 design.

#4

What is a factorial design?

A design where two or more independent variables are manipulated
Explanation

Manipulation of multiple independent variables.

#5

What does a 2x2 factorial design signify?

Two independent variables with two levels each
Explanation

Two variables, each with two levels.

#6

What is a main effect in factorial designs?

The effect of one independent variable while ignoring the other variables
Explanation

Effect of one variable disregarding others.

#7

In a 2x3 factorial design, how many independent variables are there and how many levels does each variable have?

2 independent variables with 3 levels each
Explanation

Two variables, each with three levels.

#8

What is a full factorial design?

A design where all possible combinations of levels of the independent variables are tested
Explanation

Testing all possible variable combinations.

#9

What is an interaction effect in factorial designs?

When the effect of one independent variable depends on the level of another independent variable
Explanation

Dependency of one variable's effect on another.

#10

What is a fractional factorial design?

A design where only a fraction of all possible combinations of levels of the independent variables are tested
Explanation

Testing only a fraction of possible variable combinations.

#11

What is the advantage of using a fractional factorial design?

It requires fewer participants and resources
Explanation

Efficient use of resources and participants.

#12

What is a confounding variable in factorial designs?

A variable that is not manipulated but affects the dependent variable
Explanation

Non-manipulated variable affecting dependent variable.

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