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More Than One Independent Variable The advantage of using more than one independent variable in the same experiment is that


A) there are fewer confounding variables.
B) there is no need for matching.
C) we can study the interaction between the variables.
D) we need fewer subjects.

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More Than One Independent Variable Wally investigated the effects of workspace (cubicle or open office) , lighting (low, moderate, or high intensity) , and noise (low or moderate) on productivity.How many main effects were possible in this study?


A) 2
B) 3
C) 6
D) 9

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More Than One Independent Variable Which of the following could occur in a three-factor experiment?


A) a higher-order interaction
B) an interaction
C) three main effects
D) all of these

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A Research Example A three-factor experiment can have ___ significant effects/interactions.


A) 3
B) 4
C) 5
D) 7

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A Research Example All of these are reasons for keeping factorial designs simple except


A) complex designs must be analyzed using more sophisticated statistics.
B) higher-order interactions are very difficult to explain.
C) more factors mean more time is needed to run an experiment.
D) researchers must control more extraneous variables as designs become more complex.

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Laying Out a Factorial Design Which illustrates the factor-labeling method?


A) 2 X 2 (Type of Name X Length of Name) between-subjects factorial design
B) 2 (Type of Name) X 2 (Length of Name) between-subjects factorial design
C) 2 X 2 (Type of Name: given, nickname X Length of Name: short, long) between-subjects factorial design
D) both 2 X 2 (Type of Name X Length of Name) between-subjects factorial design and 2 (Type of Name) X 2 (Length of Name) between-subjects
Factorial design

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In a study of interpersonal closeness (Holland, Roeder, van Baaren, Brandt, & Hannover, 2004; experiment 2), researchers primed with either independence or interdependence by asking male and female subjects to think about the differences (independence) or similarities (interdependence) between themselves and their family and close friends.Then, they were asked to take a seat in a waiting area full of chairs where a jacket indicated the presence of another person.The dependent variable was the number of chairs between the subject's chair and the chair with the jacket.As predicted, subjects in the independent condition seated themselves farther away from the chair that appeared occupied than subjects in the interdependent condition did.In addition, men tended to sit further away from the jacket than women did. a.What is the design of this experiment? Describe it using shorthand notation. Diagram it. b.How many main effects were reported? c.Using a simple graph, illustrate the pattern of the overall results of this experiment.

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a) This was a 2 X 2 factorial ...

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More Than One Independent Variable A factorial design can have as many main effects as


A) factors.
B) higher-order interactions.
C) interactions.
D) levels.

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More Than One Independent Variable All of these could occur in a two-factor experiment except


A) a higher-order interaction.
B) an interaction.
C) an interaction and one main effect.
D) an interaction and two main effects.

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A

More Than One Independent Variable We have a higher-order interaction in an experiment whenever


A) an extraneous variable systematically changes with two or more dependent variables.
B) an extraneous variable systematically changes across levels of two or more independent variables.
C) the effect of one independent variable changes across levels of two or more other independent variables.
D) there are more than two independent variables in the same experiment.

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Laying Out a Factorial Design Wyatt found that college students are more likely to help someone in an emergency situation if they are the only person present than when at least one other bystander is also available.This phenomenon does not depend on the victim's sex.This experiment demonstrated a(n)


A) interaction between the number of bystanders and victim sex.
B) main effect for the number of bystanders.
C) main effect for victim sex.
D) main effect for the number of bystanders and victim sex.

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More Than One Independent Variable Barbara studied the effects of viewing angle and computer monitor displays on eye blink rate.This study was a


A) factorial design.
B) multiple levels design.
C) two factor experiment.
D) factorial design and two factor experiment.

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Laying Out a Factorial Design All of the following factorial designs have 16 treatment groups except


A) 2 X 3 X 3
B) 2 X 4 X 2
C) 2 X 8
D) 4 X 4

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A Research Example A 2 X 2 factorial experiment with an interaction and one main effect is Represented by


A) two lines that are parallel and decrease from left to right.
B) two lines that are parallel and vertically separated.
C) two lines that increase from left to right and the upper line has a steeper slope than the lower line.
D) two parallel lines.

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More Than One Independent Variable Ashton studied the effect of backpack design and load on shoulder muscle contraction.If one design produced greater muscle contraction at a heavier load than a lighter one, this illustrates a(n)


A) higher-order interaction.
B) interaction.
C) main effect.
D) two main effects.

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B

More Than One Independent Variable Higher-order interactions are only possible when an experiment contains


A) at least two main effects.
B) more than two independent variables.
C) more than two levels of an independent variable.
D) two independent variables, each with at least three levels.

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A Research Example Which of these illustrates a 2 X 2 factorial experiment with no interaction and two main effects?


A) lines that cross like an X
B) lines of the same height
C) lines that are parallel, vertically separated, and increase from left to right
D) parallel lines

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A Research Example When graphing a 2 X 2 factorial experiment, an interaction would be indicated by all of these except


A) lines that converge.
B) lines that cross.
C) lines that diverge.
D) parallel lines.

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Laying Out a Factorial Design If Wyatt found that college students are only more likely to help someone in an emergency situation when they are the only person present and the victim is female, this would demonstrate a(n)


A) interaction between the number of bystanders and victim sex.
B) main effect for the number of bystanders.
C) main effect for victim sex.
D) main effect for the number of bystanders and victim sex.

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A

More Than One Independent Variable Which of these describes an interaction?


A) Men consume more crackers than women.
B) Men consume the most crackers in the presence of women.
C) Subjects consume more crackers in the presence of a member of the other gender.
D) Subject gender affects the number of crackers consumed.

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