factorial designs Flashcards
(10 cards)
The advantage of a two-factor design compared to two single-factor designs is the ability to ____.
save time
evaluate the interaction
evaluate the main effects
check the manipulation
save time
-evaluate the interaction
evaluate the main effects
check the manipulation
The following data represent the means for each treatment condition in a two-factor experiment. What pattern of results is shown in the data? (punnet square)
B1-A1 (M=20)
B2-A1 (M=30)
B1-A2 (M=20)
B2-A2(M=50)
main effects for both factors and an interaction
main effects for both factors and no interaction
a main effect for factor A, no main effect for factor B, and no interaction
a main effect for factor A and an interaction but no main effect for factor B
-main effects for both factors and an interaction
main effects for both factors and no interaction
a main effect for factor A, no main effect for factor B, and no interaction
a main effect for factor A and an interaction but no main effect for factor B
In a factorial design, an interaction between the factors occurs whenever ____.
the mean differences between the cells are not explained by the main effects
the mean differences between the cells are explained by the main effects
there are differences between the overall column means
there are differences between the overall row means
-the mean differences between the cells are not explained by the main effects
the mean differences between the cells are explained by the main effects
there are differences between the overall column means
there are differences between the overall row means
How many independent variables are there in a 2 x 2 x 2 factorial design?
two
three
four
eight
two
-three
four
eight
The results from a two-factor ANOVA show no main effect for factor A but a significant interaction. What can you conclude based on this pattern of results?
Factor A has no effect on the participants’ scores.
Factor A may have an effect but, if so, it depends on the levels of factor B.
Because the interaction is significant, factor A must also have an effect.
The effect of factor A is constant across all levels of factor B.
Factor A has no effect on the participants’ scores.
-Factor A may have an effect but, if so, it depends on the levels of factor B.
Because the interaction is significant, factor A must also have an effect.
The effect of factor A is constant across all levels of factor B.
How many main effects are there in a 2 x 3 factorial design?
two
three
six
nine
-two
three
six
nine
A researcher who is examining the effects of temperature and humidity on the eating behavior of rats uses a factorial experiment comparing three different temperatures (70˚, 80˚, and 90˚) and two humidity conditions (low and high). How many factors are in the experiment?
one
two
three
six
one
-two
three
six
How many separate groups of participants would be needed for a between-subjects, two-factor study with three levels of factor A and four levels of factor B?
three
four
seven
twelve
three
four
seven
-twelve
In a matrix representing the structure of a factorial design, the mean differences among the columns define ____.
the main effect for one factor
the interaction between the factors
the main effect and the interaction between the factors
the significance level
-the main effect for one factor
the interaction between the factors
the main effect and the interaction between the factors
the significance level
The students in one gym class receive a self-esteem program as part of their sports training. To evaluate the program, a researcher measures self-esteem for the students before and after the program and compares their scores with those from another class that did not receive the program but was measured at the same two times. What kind of design is being used?
between-subjects design
within-subjects design
repeated measures design
mixed design
between-subjects design
within-subjects design
repeated measures design
-mixed design
