Question 1

In a two-factor design,there are two separate interactions.

Accepted Answer

A) True 
 B)False  False

Question 2

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) 1,3 
B) 3,6 
C) 6,6 
D) 3,2 
A) 1,3 
B) 3,6 
C) 6,6 
D) 3,2 B

Question 3

There are four levels of the second factor in a 3*4*4 factorial design.

Accepted Answer

A) True 
 B)False  True

Question 4

It is often possible to reduce the variance in a between-subjects design by using a participant variable such as age or gender as a second factor.

Accepted Answer

A) True 
 B)False

Question 5

How many main effects are there in a 2*3 factorial design?

Accepted Answer

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

Question 6

Which of the following is the correct description for a research study comparing problem solving scores obtained under three different levels of temperature?

Accepted Answer

A) single-factor design 
B) two-factor design 
C) three-factor design 
D) factorial design 
A) single-factor design 
B) two-factor design 
C) three-factor design 
D) factorial design

Question 7

A doctor suspects that the effectiveness of a new cholesterol medication depends on the age of the patient.If the doctor is correct,the results from a two-factor study comparing medication versus no-medication for young versus old patients should produce an interaction.

Accepted Answer

A) True 
 B)False

Question 8

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 9

In a 3*4 factorial design there are ________ main effect(s)and ________interaction(s)possible.

Accepted Answer

A) 3; 4 
B) 2; 3 
C) 2; 1 
D) 1; 2 
A) 3; 4 
B) 2; 3 
C) 2; 1 
D) 1; 2

Question 10

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 11

In a matrix representing the structure of a factorial design,the differences between the overall row means define the interaction between the factors.

Accepted Answer

A) True 
 B)False

Question 12

Which of the following is a possible outcome from a 2*2 factorial design?

Accepted Answer

A) two main effects and two interactions 
B) a main effect for one factor,no main effect for the other factor,and two interactions 
C) no main effect for either factor and one interaction 
D) the other three choices are all possible to occur 
A) two main effects and two interactions 
B) a main effect for one factor,no main effect for the other factor,and two interactions 
C) no main effect for either factor and one interaction 
D) the other three choices are all possible to occur

Question 13

A two-factor study compares 2 levels of factor A and 3 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 14

In a two-factor experiment,an interaction can distort the main effects of either or both factors.

Accepted Answer

A) True 
 B)False

Question 15

In a factorial experimental design,independent variables are commonly called factors.

Accepted Answer

A) True 
 B)False

Question 16

Order effects can be measured and evaluated with a

Accepted Answer

A) counterbalanced single-factor within-subjects design. 
B) factorial design using a participant variable (such as age)as a second factor. 
C) factorial design using the order of treatments as a second factor. 
D) the other three choices can each be used to assess order effects. 
A) counterbalanced single-factor within-subjects design. 
B) factorial design using a participant variable (such as age)as a second factor. 
C) factorial design using the order of treatments as a second factor. 
D) the other three choices can each be used to assess order effects.

Question 17

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 A*B interaction? B1 B2

Accepted Answer

A) 10 
B) 20 
C) 30 
D) 40 
A) 10 
B) 20 
C) 30 
D) 40

Question 18

The following data represent the means for each treatment condition in a two-factor experiment.Note that one mean is not given.Which of the following values would result in no interaction between factors? B1 B2

Accepted Answer

A) 60 
B) 70 
C) 80 
D) 90 
A) 60 
B) 70 
C) 80 
D) 90

Question 19

Explain what it means to say that main effects and interactions are all independent.

Accepted Answer

The existence of a main effect does not

Question 20

In a two-factor ANOVA,what is the implication of a significant A*B interaction?

Accepted Answer

A) At least one of the main effects must also be significant. 
B) Both of the main effects must also be significant. 
C) Neither of the two main effects can be significant. 
D)  The significance of the interaction has no implications for the main effects. 
A) At least one of the main effects must also be significant. 
B) Both of the main effects must also be significant. 
C) Neither of the two main effects can be significant. 
D)  The significance of the interaction has no implications for the main effects.

In a two-factor design,there are two separate interactions.

There are four levels of the second factor in a 344 factorial design.

It is often possible to reduce the variance in a between-subjects design by using a participant variable such as age or gender as a second factor.

How many main effects are there in a 2*3 factorial design?

Which of the following is the correct description for a research study comparing problem solving scores obtained under three different levels of temperature?

A doctor suspects that the effectiveness of a new cholesterol medication depends on the age of the patient.If the doctor is correct,the results from a two-factor study comparing medication versus no-medication for young versus old patients should produce an interaction.

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?

In a 3*4 factorial design there are main effect(s)and interaction(s)possible.

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,

In a matrix representing the structure of a factorial design,the differences between the overall row means define the interaction between the factors.

Which of the following is a possible outcome from a 2*2 factorial design?

A two-factor study compares 2 levels of factor A and 3 levels of factor B with a separate sample of 5 participants in each treatment condition.This study will use a total of 25 participants.

In a two-factor experiment,an interaction can distort the main effects of either or both factors.

In a factorial experimental design,independent variables are commonly called factors.

Order effects can be measured and evaluated with a

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 A*B interaction? B1 B2

The following data represent the means for each treatment condition in a two-factor experiment.Note that one mean is not given.Which of the following values would result in no interaction between factors? B1 B2

Explain what it means to say that main effects and interactions are all independent.

In a two-factor ANOVA,what is the implication of a significant A*B interaction?

Introduction, Acquiring Knowledge, and the Scientific Method

Research Ideas

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, Pre-Post, and Developmental Designs

The Correlational Research Strategy

Descriptive Research Strategy

Single-Subject Research Designs

Statistical Evaluation of Data

Writing a Research Report

Filters

Exam 11: Factorial Designs

In a two-factor design,there are two separate interactions.

There are four levels of the second factor in a 3*4*4 factorial design.

It is often possible to reduce the variance in a between-subjects design by using a participant variable such as age or gender as a second factor.

How many main effects are there in a 2*3 factorial design?

Which of the following is the correct description for a research study comparing problem solving scores obtained under three different levels of temperature?

A doctor suspects that the effectiveness of a new cholesterol medication depends on the age of the patient.If the doctor is correct,the results from a two-factor study comparing medication versus no-medication for young versus old patients should produce an interaction.

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?

In a 3*4 factorial design there are ________ main effect(s)and ________interaction(s)possible.

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,

In a matrix representing the structure of a factorial design,the differences between the overall row means define the interaction between the factors.

Which of the following is a possible outcome from a 2*2 factorial design?

A two-factor study compares 2 levels of factor A and 3 levels of factor B with a separate sample of 5 participants in each treatment condition.This study will use a total of 25 participants.

In a two-factor experiment,an interaction can distort the main effects of either or both factors.

In a factorial experimental design,independent variables are commonly called factors.

Order effects can be measured and evaluated with a

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 A*B interaction? B1 B2

The following data represent the means for each treatment condition in a two-factor experiment.Note that one mean is not given.Which of the following values would result in no interaction between factors? B1 B2

Explain what it means to say that main effects and interactions are all independent.

In a two-factor ANOVA,what is the implication of a significant A*B interaction?

Introduction, Acquiring Knowledge, and the Scientific Method

Research Ideas

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, Pre-Post, and Developmental Designs

The Correlational Research Strategy

Descriptive Research Strategy

Single-Subject Research Designs

Statistical Evaluation of Data

Writing a Research Report

Filters

There are four levels of the second factor in a 344 factorial design.

In a 3*4 factorial design there are main effect(s)and interaction(s)possible.