1. Research Methods: Concepts and Connections First Edition
Michael Passer
Research Methods: Concepts and Connections First Edition
Chapter 9:
Factorial Designs
Clicker Questions
Questions by Melissa Terlecki, Cabrini College
© 2013 by Worth Publishers

2. Chapter 9
1. The difference between single-factor and factorial designs is that:
single factor designs combine each level of independent variable with each other’s level of independent variable.
single-factor designs have two or more independent variables.
factorial designs have two or more independent variables.
factorial designs have one dependent variable.

3. Chapter (Answer)
1. The difference between single-factor and factorial designs is that:
single factor designs combine each level of independent variable with each other’s level of independent variable.
single-factor designs have two or more independent variables.
factorial designs have two or more independent variables.
factorial designs have one dependent variable.

4. Chapter 9 2. A 2 X 3 factorial design yields how many conditions? 2 35 6

5. Chapter (Answer)
2. A 2 X 3 factorial design yields how many conditions? 2 3 5 6

6. Chapter 9
3. Which type of factorial design involves participants engaging in only one condition?
within-subjects factorial design
mixed-factorial design
between-subjects factorial design
person X situation factorial design

7. Chapter (Answer)
3. Which type of factorial design involves participants engaging in only one condition?
within-subjects factorial design
mixed-factorial design
between-subjects factorial design
person X situation factorial design

8. Chapter 9
4. Which type of factorial design includes at least one between-subjects variable and at least one within-subjects variable?
within-subjects factorial design
mixed-factorial design
between-subjects factorial design
person X situation factorial design

9. Chapter (Answer)
4. Which type of factorial design includes at least one between-subjects variable and at least one within-subjects variable?
within-subjects factorial design
mixed-factorial design
between-subjects factorial design
person X situation factorial design

10. Chapter 9
5. In an experiment looking at the effects of independent variables A and B on the dependent variable C, which would represent the influence of one independent variable on another?
main effect A
main effect B
moderator variable D
interaction effect A X B

11. Chapter (Answer)
5. In an experiment looking at the effects of independent variables A and B on the dependent variable C, which would represent the influence of one independent variable on another?
main effect A
main effect B
moderator variable D
interaction effect A X B

12. Chapter 9
6. If one is interested in measuring the effects of a moderating variable, one can build it into the design as a/n:
independent variable.
dependent variable.
interaction effect.
subject variable.

13. Chapter (Answer)
6. If one is interested in measuring the effects of a moderating variable, one can build it into the design as a/n:
independent variable.
dependent variable.
interaction effect.
subject variable.

14. Chapter 9 7. Which is NOT true of factorial designs?
The number of separate experiments can increase.
The number of conditions can increase.
The number of required participants can increase.
Time and effort may increase.

15. Chapter 9 (Answer) 7. Which is NOT true of factorial designs?
The number of separate experiments can increase.
The number of conditions can increase.
The number of required participants can increase.
Time and effort may increase.

16. Chapter 9
8. When one seeks to determine whether an independent variable has a nonlinear effect on a dependent variable, that variable must:
have only one level.
have at least two levels.
have at least three levels.
have at least four levels.

17. Chapter (Answer)
8. When one seeks to determine whether an independent variable has a nonlinear effect on a dependent variable, that variable must:
have only one level.
have at least two levels.
have at least three levels.
have at least four levels.

18. Chapter 9
9. In an experiment looking at the effects of videogame playing on navigational ability using a map versus using a compass, which would be considered a subject variable?
compass usage
map usage
location of task
videogame playing experience

19. Chapter (Answer)
9. In an experiment looking at the effects of videogame playing on navigational ability using a map versus using a compass, which would be considered a subject variable?
compass usage
map usage
location of task
videogame playing experience

20. Chapter 9
10. Which is NOT true regarding the assessment of subject variables?
Person X situation designs are commonly used.
Subject variables may be referred to as quasi-independent variables.
Subject variables are manipulated independent variables.
If main effects or interactions exist, one must be cautious about drawing conclusions.

21. Chapter (Answer)
10. Which is NOT true regarding the assessment of subject variables?
Person X situation designs are commonly used.
Subject variables may be referred to as quasi-independent variables.
Subject variables are manipulated independent variables.
If main effects or interactions exist, one must be cautious about drawing conclusions.

22. Chapter 9
11. Which is true regarding the measurement of change in a dependent variable over time?
One can label the multiple measurement periods as an independent variable.
One can label the multiple measurement periods as separate dependent variables.
One must run separate analyses for each measurement period.
Factorial designs do not allow for multiple measurement periods.

23. Chapter (Answer)
11. Which is true regarding the measurement of change in a dependent variable over time?
One can label the multiple measurement periods as an independent variable.
One can label the multiple measurement periods as separate dependent variables.
One must run separate analyses for each measurement period.
Factorial designs do not allow for multiple measurement periods.

24. Chapter 9
12. Which is true in regards to interpreting factorial design effects?
In determining whether a main effect exists, one examines marginal means.
When an interaction exists, conclusions based on main effects are accurate.
Parallel lines in a line graph suggest an interaction.
Parallel bars in a bar graph suggest an interaction.

25. Chapter (Answer)
12. Which is true in regards to interpreting factorial design effects?
In determining whether a main effect exists, one examines marginal means.
When an interaction exists, conclusions based on main effects are accurate.
Parallel lines in a line graph suggest an interaction.
Parallel bars in a bar graph suggest an interaction.

26. Chapter 9
13. If a true interaction exists, which provides more external validity?
single-factor experiment
factorial experiment
multiple single-factor experiments
within-subject experiment

27. Chapter (Answer)
13. If a true interaction exists, which provides more external validity?
single-factor experiment
factorial experiment
multiple single-factor experiments
within-subject experiment

28. Chapter 9
14. If one wishes to test specific relationships between levels of variables, one would analyze:
simple main effects.
post-hoc comparisons.
planned comparisons.
analyses of variance (ANOVA).

29. Chapter (Answer)
14. If one wishes to test specific relationships between levels of variables, one would analyze:
simple main effects.
post-hoc comparisons.
planned comparisons.
analyses of variance (ANOVA).

30. Chapter 9
15. An experiment concludes that time of year interacts with happiness, and this is different for men and women. This shows:
a three-way interaction.
a two-way interaction.
a main effect for time of year.
a main effect for gender.

31. Chapter (Answer)
15. An experiment concludes that time of year interacts with happiness, and this is different for men and women. This shows:
a three-way interaction.
a two-way interaction.
a main effect for time of year.
a main effect for gender.