Question 1

Describe how a second factor can be used to reduce the variance in a between-subjects experiment.

Accepted Answer

In a between-subjects experiment, the pa

Question 2

If the means from a two-factor study are displayed in a graph, how can you determine whether there is an interaction between factors?

Accepted Answer

When the means of a two-factor study are

Question 3

The following data represent the means for each treatment condition in a two-factor experiment. What pattern of results is shown in the data? $\begin{array}{c}
\begin{array}{lll}
\text { B1 } \
\
\text { B2 } 
\end{array}
\begin{array}{  | l | l| } 
\hline \
 \mathrm { M } = 10 & \mathrm { M } =20 \
\
 \mathrm { M } = 10 & \mathrm { M } = 30 \
\hline
\end{array}
\end{array}$

Accepted Answer

A)  Main effects for both factors and an interaction 
B)  Main effects for both factors and no interaction 
C)  A main effect for factor A, no main effect for factor B, and no interaction 
D)  A main effect for factor A and an interaction but no main effect for factor B 
A)  Main effects for both factors and an interaction 
B)  Main effects for both factors and no interaction 
C)  A main effect for factor A, no main effect for factor B, and no interaction 
D)  A main effect for factor A and an interaction but no main effect for factor B

Question 4

A two-factor experimental design must involve at least four different treatment conditions.

Accepted Answer

A) True 
 B)False

Question 5

A clinician claims that the effectiveness of a new treatment varies depending on the gender of the client. Specifically, the new treatment has been shown to be very effective for females, but the treatment has little or no effect for males. In this example, ____.

Accepted Answer

A)  there is an interaction between the treatment and client's gender 
B)  there is no interaction between the treatment and client's gender 
C)  there is no main effect of treatment 
D)  there is no main effect of gender 
A)  there is an interaction between the treatment and client's gender 
B)  there is no interaction between the treatment and client's gender 
C)  there is no main effect of treatment 
D)  there is no main effect of gender

Question 6

How many independent variables are there in an experimental two-factor design?

Accepted Answer

A)  One 
B)  Two 
C)  Three 
D)  Four 
A)  One 
B)  Two 
C)  Three 
D)  Four

Question 7

What statistical technique should be used to evaluate the results of a two-factor, between-subjects study?

Accepted Answer

A)  A two-factor repeated-measures ANOVA 
B)  A two-factor independent-measures ANOVA 
C)  A two-factor mixed design ANOVA 
D)  A t -test 
A)  A two-factor repeated-measures ANOVA 
B)  A two-factor independent-measures ANOVA 
C)  A two-factor mixed design ANOVA 
D)  A t -test

Question 8

Describe two situations in which factorial designs are commonly used.

Accepted Answer

There are three specific uses of factori

Question 9

Why might a researcher add a factor when replicating a previously published study?

Accepted Answer

A)  To see if the treatment effects are the same in a different situation 
B)  To turn a nonexperimental study into a true experiment 
C)  To turn a within-subjects study into a between-subjects study 
D)  To turn a between-subjects study into a within-subjects study 
A)  To see if the treatment effects are the same in a different situation 
B)  To turn a nonexperimental study into a true experiment 
C)  To turn a within-subjects study into a between-subjects study 
D)  To turn a between-subjects study into a within-subjects study

Question 10

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). The experiment has ____ level(s) for the temperature factor and a total of ____ treatment conditions.

Accepted Answer

A)  one; three 
B)  three; six 
C)  six; six 
D)  three; two 
A)  one; three 
B)  three; six 
C)  six; six 
D)  three; two

Question 11

How can order effects be measured and evaluated?

Accepted Answer

A)  Limit the number of participants in each group. 
B)  Use a factorial design adding a participant variable (such as age) as a second factor. 
C)  Use a factorial design with the order of treatments as a second factor. 
D)  Randomize the order of the treatments. 
A)  Limit the number of participants in each group. 
B)  Use a factorial design adding a participant variable (such as age) as a second factor. 
C)  Use a factorial design with the order of treatments as a second factor. 
D)  Randomize the order of the treatments.

Question 12

If the A × B interaction is significant, then at least one of the two main effects also must be significant.

Accepted Answer

A) True 
 B)False

Question 13

A two-factor study with two levels of factor A and three levels of factor B uses a separate group of n = 5 participants in each treatment condition. How many participants are needed for the entire study?

Accepted Answer

A)  5 
B)  10 
C)  25 
D)  30 
A)  5 
B)  10 
C)  25 
D)  30

Question 14

Explain how a researcher can create a factorial study that combines the experimental research strategy with either the quasi-experimental or nonexperimental strategies, and describe the two quasi-independent variables that are often used.

Accepted Answer

It is possible to design a factorial stu

Question 15

The following data represent the means for each treatment condition in a two-factor experiment. Note that one mean is not given. What value for the missing mean would result in no main effect for factor B? $\quad $$\quad $$\quad $$\quad $$\text {B1 }$$\quad $$\quad $$\quad $$\text {B2 }$
$\begin{array}{c}
\begin{array}{lll}
\text { A1 } \
\
\text {A2 } 
\end{array}
\begin{array}{  | l | l| } 
\hline \
20\quad \quad&10\quad\quad \
\
40 &  \
\hline
\end{array}
\end{array}$

Accepted Answer

A)  20 
B)  30 
C)  40 
D)  50 
A)  20 
B)  30 
C)  40 
D)  50

Question 16

In a matrix representing the structure of a factorial design, the mean differences among the columns define ____.

Accepted Answer

A)  the main effect for one factor 
B)  the interaction between the factors 
C)  the main effect and the interaction between the factors 
D)  the significance level 
A)  the main effect for one factor 
B)  the interaction between the factors 
C)  the main effect and the interaction between the factors 
D)  the significance level

Question 17

In a matrix representing the structure of a factorial design, the mean differences between the rows define the interaction between the factors.

Accepted Answer

A) True 
 B)False

Question 18

A two-factor study compares two levels of factor A and three levels of factor B with a separate sample of 5 participants in each treatment condition. This study will use a total of 25 participants.

Accepted Answer

A) True 
 B)False

Question 19

It is possible for the results of a two-factor study to show an interaction even though there is no main effect for either factor.

Accepted Answer

A) True 
 B)False

Question 20

A graph of a two-factor study indicates an interaction when the lines on the graph ____.

Accepted Answer

A)  are parallel 
B)  cross or converge 
C)  are steep in slope 
D)  have the same slope 
A)  are parallel 
B)  cross or converge 
C)  are steep in slope 
D)  have the same slope

Describe how a second factor can be used to reduce the variance in a between-subjects experiment.

If the means from a two-factor study are displayed in a graph, how can you determine whether there is an interaction between factors?

The following data represent the means for each treatment condition in a two-factor experiment. What pattern of results is shown in the data? B1 B2 =10 =20 =10 =30

A two-factor experimental design must involve at least four different treatment conditions.

A clinician claims that the effectiveness of a new treatment varies depending on the gender of the client. Specifically, the new treatment has been shown to be very effective for females, but the treatment has little or no effect for males. In this example, ____.

How many independent variables are there in an experimental two-factor design?

What statistical technique should be used to evaluate the results of a two-factor, between-subjects study?

Describe two situations in which factorial designs are commonly used.

Why might a researcher add a factor when replicating a previously published study?

How can order effects be measured and evaluated?

If the A × B interaction is significant, then at least one of the two main effects also must be significant.

A two-factor study with two levels of factor A and three levels of factor B uses a separate group of n = 5 participants in each treatment condition. How many participants are needed for the entire study?

Explain how a researcher can create a factorial study that combines the experimental research strategy with either the quasi-experimental or nonexperimental strategies, and describe the two quasi-independent variables that are often used.

In a matrix representing the structure of a factorial design, the mean differences among the columns define ____.

In a matrix representing the structure of a factorial design, the mean differences between the rows define the interaction between the factors.

A two-factor study compares two levels of factor A and three levels of factor B with a separate sample of 5 participants in each treatment condition. This study will use a total of 25 participants.

It is possible for the results of a two-factor study to show an interaction even though there is no main effect for either factor.

A graph of a two-factor study indicates an interaction when the lines on the graph ____.

Introduction, Acquiring Knowledge, and the Scientific Method

Research Ideas and Hypotheses

Defining and Measuring Variables

Ethics in Research

Selecting Research Participants

Research Strategies and Validity

The Experimental Research Strategy

Experimental Designs: Between-Subjects Design

Experimental Designs: Within-Subjects Design

The Nonexperimental and Quasi-Experimental Strategies: Nonequivalent Group, Prepost, and Developmental Designs

The Correlational Research Strategy

The Descriptive Research Strategy

Single-Case Experimental Research Designs

Statistical Evaluation of Data

Writing an Apa-Style Research Report

Filters

Exam 11: Factorial Designs

Describe how a second factor can be used to reduce the variance in a between-subjects experiment.

If the means from a two-factor study are displayed in a graph, how can you determine whether there is an interaction between factors?

The following data represent the means for each treatment condition in a two-factor experiment. What pattern of results is shown in the data? B1 B2 =10 =20 =10 =30

A two-factor experimental design must involve at least four different treatment conditions.

A clinician claims that the effectiveness of a new treatment varies depending on the gender of the client. Specifically, the new treatment has been shown to be very effective for females, but the treatment has little or no effect for males. In this example, ____.

How many independent variables are there in an experimental two-factor design?

What statistical technique should be used to evaluate the results of a two-factor, between-subjects study?

Describe two situations in which factorial designs are commonly used.

Why might a researcher add a factor when replicating a previously published study?

How can order effects be measured and evaluated?

If the A × B interaction is significant, then at least one of the two main effects also must be significant.

A two-factor study with two levels of factor A and three levels of factor B uses a separate group of n = 5 participants in each treatment condition. How many participants are needed for the entire study?

Explain how a researcher can create a factorial study that combines the experimental research strategy with either the quasi-experimental or nonexperimental strategies, and describe the two quasi-independent variables that are often used.

The following data represent the means for each treatment condition in a two-factor experiment. Note that one mean is not given. What value for the missing mean would result in no main effect for factor B? \quad \quad \quad \quad B1 \text {B1 }B1 \quad \quad \quad B2 \text {B2 }B2 A1 A2 20 10 40

In a matrix representing the structure of a factorial design, the mean differences among the columns define ____.

In a matrix representing the structure of a factorial design, the mean differences between the rows define the interaction between the factors.

A two-factor study compares two levels of factor A and three levels of factor B with a separate sample of 5 participants in each treatment condition. This study will use a total of 25 participants.

It is possible for the results of a two-factor study to show an interaction even though there is no main effect for either factor.

A graph of a two-factor study indicates an interaction when the lines on the graph ____.

Introduction, Acquiring Knowledge, and the Scientific Method

Research Ideas and Hypotheses

Defining and Measuring Variables

Ethics in Research

Selecting Research Participants

Research Strategies and Validity

The Experimental Research Strategy

Experimental Designs: Between-Subjects Design

Experimental Designs: Within-Subjects Design

The Nonexperimental and Quasi-Experimental Strategies: Nonequivalent Group, Prepost, and Developmental Designs

The Correlational Research Strategy

The Descriptive Research Strategy

Single-Case Experimental Research Designs

Statistical Evaluation of Data

Writing an Apa-Style Research Report

Filters