Chapter 10: Complex Experimental Designs

When the effect of one independent variable on your dependent variable changes over levels of a second independent variable, a(n) ________ is present.
1. simple main effect
2. compound main effect
3. main effect
4. interaction
When an interaction is present,:
1. main effects are still interpreted
2. main effects are still the focus on attention, because they are usually more interesting
3. main effects are not interpreted, because your independent variables do not have simple effects on your dependent variable
4. it should be statistically controlled so that main effects can be more clearly examined
In order to find a curvilinear relationship, the research needs to use:
1. factorial designs
2. three or more levels of an independent variable
3. more than one dependent variable
4. a mixed design
A factorial design involves:
1. manipulating two or more independent variables
2. an inability to specify the overall effect of an independent variable
3. having multiple dependent measures
4. all of the above
In a study examining the effect of room illumination (low, medium, high) and room temperature (cold, warm, hot) on test performance, how many main effects are possible?
1. 1
2. 2
3. 3
4. 6
In the above question, how many interactions are possible?
1. 1
2. 2
3. 3
4. 6
A researcher states that "anxiety decreased performance irrespective of the participants' motivation levels." This statement tells you that there was a(n):
1. main effect of anxiety
2. interaction between anxiety and motivation
3. main effect of motivation
4. Type I error
In a two-way analysis of variance, you test for significance of:
1. two main effects
2. one main effect and an interaction
3. an interaction
4. two main effects and an interaction
A graph of the results of a factorial experiment with two independent variables shows an interaction when the lines on the graph are:
1. not parallel
2. crooked
3. parallel
4. none of the above
A study that uses both manipulated and measured variables in a factorial design is called a(n) ________ design.
1. mixed repeated measures and independent groups
2. IV x SV factorial
3. 2 x 2 factorial
4. multiple correlation
In a 4 x 5 factorial design would have how many conditions?
1. 4
2. 5
3. 9
4. 20
This and the next three questions relate to the following example. You have designed an experiment manipulating room temperature (cold, warm, hot), noise level (quiet or loud), and room color (pink, blue, black). What type of design does this experiment represent?
1. 3 x 2
2. 3 x 2 x 3
3. 3 x 2 x 2
4. 2 x 2 x 2
How many main effects are possible?
1. 1
2. 2
3. 3
4. 8
How many interactions are possible?
1. 2
2. 3
3. 4
4. 18
How many conditions are present?
1. 3
2. 8
3. 9
4. 18

Chapter 10: Complex Experimental Designs

Choose the best answer for each question.