Question 1

A factorial analysis of variance has

Accepted Answer

A)  more than one dependent variable. 
B)  more than one independent variable. 
C)  every level of every independent variable paired with every level of every other independent variable. 
D)  both b and c 
A)  more than one dependent variable. 
B)  more than one independent variable. 
C)  every level of every independent variable paired with every level of every other independent variable. 
D)  both b and c

Question 2

Use the following research scenario to answer the next four questions:
A researcher was interested in the effects of 1) alcohol consumption and 2) content of a videotape, on how likely one is to support rape myths.  The researcher randomly assigned 60 college-aged males to one of the following three groups: no alcohol consumed, a moderated amount of alcohol consumed, and a large amount of alcohol consumed.  Additionally, half of the participants were shown the educational video on rape myths. The other half of the participants watched a documentary on owls (a control condition).  At the end of the study all the participants filled out a survey on rape myth acceptance.  Higher scores on the survey indicated higher acceptance of rape myths.
What type of statistical analysis would be most appropriate for this experiment?

Accepted Answer

A)  a t -test 
B)  a regression 
C)  a one-way analysis of variance 
D)  a factorial analysis of variance 
A)  a t -test 
B)  a regression 
C)  a one-way analysis of variance 
D)  a factorial analysis of variance

Question 3

The overall effect of an independent variable is called a(n)

Accepted Answer

A)  main effect. 
B)  simple effect. 
C)  interaction. 
D)  manipulation. 
A)  main effect. 
B)  simple effect. 
C)  interaction. 
D)  manipulation.

Question 4

Pliner and Chaiken (1990) wanted to investigate whether the amount of food eaten depended on the gender of the participant and the gender of the confederate. It was observed that women eat less than men overall and that women eat less in the company of men than they do when in the company of other women. The finding that women eat less than men across all conditions is a(n)

Accepted Answer

A)  simple effect. 
B)  interaction. 
C)  factorial effect. 
D)  main effect. 
A)  simple effect. 
B)  interaction. 
C)  factorial effect. 
D)  main effect.

Question 5

To calculate the F for a simple effect you

Accepted Answer

A)  often use the same error term you use for main effects. 
B)  use the mean square for the main effect as the denominator in F . 
C)  first divide the mean square for the simple effect by its degrees of freedom. 
D)  none of the above 
A)  often use the same error term you use for main effects. 
B)  use the mean square for the main effect as the denominator in F . 
C)  first divide the mean square for the simple effect by its degrees of freedom. 
D)  none of the above

Question 6

When we compute an effect size measure such as
  for a factorial ANOVA we have to decide

Accepted Answer

A)  what effects should be included in estimating the denominator. 
B)  what are our variables of theoretical interest. 
C)  whether we want an r -family measure or a d -family measure. 
D)  all of the above 
A)  what effects should be included in estimating the denominator. 
B)  what are our variables of theoretical interest. 
C)  whether we want an r -family measure or a d -family measure. 
D)  all of the above

Question 7

What type of design is the above study?

Accepted Answer

A)  2 × 2 × 2 
B)  2 × 2 
C)  2 × 3 
D)  3 × 3 × 3 
A)  2 × 2 × 2 
B)  2 × 2 
C)  2 × 3 
D)  3 × 3 × 3

Question 8

Which of the following graphs is most likely to portray an interaction?
 
​

Accepted Answer

A)  I 
B)  II 
C)  III 
D)  There is no interaction in any of these. 
A)  I 
B)  II 
C)  III 
D)  There is no interaction in any of these.

Question 9

Dr. Gates looked at the effects of frustration on the use of profanity by males and females. Males and females were asked to write a lab report on computers in a lab, but half the computers were set up to crash during the session while half of the computers were not set up to crash. Three observers recorded the use of profanity by the participants during the task. What is the design of this study?

Accepted Answer

A)  2 × 2 factorial 
B)  1 × 2 factorial 
C)  2 × 2 × 3 factorial 
D)  2 × 2 correlational 
A)  2 × 2 factorial 
B)  1 × 2 factorial 
C)  2 × 2 × 3 factorial 
D)  2 × 2 correlational

Question 10

When you compare the effect of one variable at one level of another variable you are examining

Accepted Answer

A)  a main effect 
B)  a simple effect 
C)  a correlational effect 
D)  both a and c 
A)  a main effect 
B)  a simple effect 
C)  a correlational effect 
D)  both a and c

Question 11

In a factorial design a cell is

Accepted Answer

A)  the combination of a row and a column. 
B)  the smallest number of subjects who were treated alike. 
C)  another name for a simple effect. 
D)  both a and b 
A)  the combination of a row and a column. 
B)  the smallest number of subjects who were treated alike. 
C)  another name for a simple effect. 
D)  both a and b

Question 12

To calculate the sum of squares for a treatment effect in the analysis of variance, we would work with

Accepted Answer

A)  the squares of the differences between the treatment means and the grand mean. 
B)  the variance within the treatments. 
C)  the number of samples. 
D)  both a and b 
A)  the squares of the differences between the treatment means and the grand mean. 
B)  the variance within the treatments. 
C)  the number of samples. 
D)  both a and b

Question 13

If the analysis of variance is significant, we are pretty sure that

Accepted Answer

A)  we have an important finding. 
B)  at least one mean is different from one or more other means. 
C)  the means don't differ from each other. 
D)  we screwed up somewhere. 
A)  we have an important finding. 
B)  at least one mean is different from one or more other means. 
C)  the means don't differ from each other. 
D)  we screwed up somewhere.

Question 14

Calculate and interpret F for each effect based on the following data.

Accepted Answer

F _treatment = 2.60; F _{problem severity} = 3.50; F _{treatment X severity} = 2.3

Question 15

Use the following research scenario to answer the next four questions:
A researcher was interested in the effects of 1) alcohol consumption and 2) content of a videotape, on how likely one is to support rape myths.  The researcher randomly assigned 60 college-aged males to one of the following three groups: no alcohol consumed, a moderated amount of alcohol consumed, and a large amount of alcohol consumed.  Additionally, half of the participants were shown the educational video on rape myths. The other half of the participants watched a documentary on owls (a control condition).  At the end of the study all the participants filled out a survey on rape myth acceptance.  Higher scores on the survey indicated higher acceptance of rape myths.
How many cells does this experiment have?

Accepted Answer

A)  2 
B)  5 
C)  6 
D)  12 
A)  2 
B)  5 
C)  6 
D)  12

Question 16

If you have a significant interaction, you should

Accepted Answer

A)  think carefully about any main effects you might have. 
B)  ignore any main effects you might have. 
C)  ignore the interaction unless there is a main effect. 
D)  none of the above 
A)  think carefully about any main effects you might have. 
B)  ignore any main effects you might have. 
C)  ignore the interaction unless there is a main effect. 
D)  none of the above

Question 17

This graph represents a/an
 
​

Accepted Answer

A)  repeated-measures design 
B)  one-way ANOVA 
C)  2 × 5 factorial 
D)  significant alpha 
A)  repeated-measures design 
B)  one-way ANOVA 
C)  2 × 5 factorial 
D)  significant alpha

Question 18

Use the following research scenario to answer the next four questions:
A researcher was interested in the effects of 1) alcohol consumption and 2) content of a videotape, on how likely one is to support rape myths.  The researcher randomly assigned 60 college-aged males to one of the following three groups: no alcohol consumed, a moderated amount of alcohol consumed, and a large amount of alcohol consumed.  Additionally, half of the participants were shown the educational video on rape myths. The other half of the participants watched a documentary on owls (a control condition).  At the end of the study all the participants filled out a survey on rape myth acceptance.  Higher scores on the survey indicated higher acceptance of rape myths.
What would you suggest if the researcher found that alcohol consumption increased rape myth acceptance, but only when the participants had watched the owl video?

Accepted Answer

A)  There is an interaction between alcohol consumption and video type. 
B)  There is a main effect of alcohol consumption. 
C)  There is a simple effect of alcohol in the educational video condition. 
D)  There is a main effect of the video condition. 
A)  There is an interaction between alcohol consumption and video type. 
B)  There is a main effect of alcohol consumption. 
C)  There is a simple effect of alcohol in the educational video condition. 
D)  There is a main effect of the video condition.

Question 19

To calculate the F for a simple effect you

Accepted Answer

A)  use the mean square for the main effect as the denominator in F . 
B)  first divide the mean square for the simple effect by its degrees of freedom. 
C)  use the same error term you use for main effects. 
D)  none of the above 
A)  use the mean square for the main effect as the denominator in F . 
B)  first divide the mean square for the simple effect by its degrees of freedom. 
C)  use the same error term you use for main effects. 
D)  none of the above

Question 20

A simple effect is calculated by

Accepted Answer

A)  looking only at the data for one level of one of the independent variables. 
B)  averaging across the levels of one of the independent variables. 
C)  ignoring one of the independent variables. 
D)  dividing the main effect by the degrees of freedom. 
A)  looking only at the data for one level of one of the independent variables. 
B)  averaging across the levels of one of the independent variables. 
C)  ignoring one of the independent variables. 
D)  dividing the main effect by the degrees of freedom.

A factorial analysis of variance has

The overall effect of an independent variable is called a(n)

To calculate the F for a simple effect you

When we compute an effect size measure such as for a factorial ANOVA we have to decide

What type of design is the above study?

Which of the following graphs is most likely to portray an interaction?

When you compare the effect of one variable at one level of another variable you are examining

In a factorial design a cell is

To calculate the sum of squares for a treatment effect in the analysis of variance, we would work with

If the analysis of variance is significant, we are pretty sure that

Calculate and interpret F for each effect based on the following data.

If you have a significant interaction, you should

This graph represents a/an

To calculate the F for a simple effect you

A simple effect is calculated by

Introduction

Basic Concepts

Displaying Data

Measures of Central Tendency

Measures of Variability

The Normal Distribution

Basic Concepts of Probability

Sampling Distributions and Hypothesis Testing

Correlation

Regression

Multiple Regression

Hypothesis Tests Applied to Means: One Sample

Hypothesis Tests Applied to Means: Two Related Samples

Hypothesis Tests Applied to Means: Two Independent Samples

Power

One-Way Analysis of Variance

Repeated-Measures Analysis of Variance

Chi-Square

Nonparametric and Resampling Statistical Tests

Meta-Analysis

Filters

Exam 17: Factorial Analysis of Variance

A factorial analysis of variance has

The overall effect of an independent variable is called a(n)

To calculate the F for a simple effect you

When we compute an effect size measure such as for a factorial ANOVA we have to decide

What type of design is the above study?

Which of the following graphs is most likely to portray an interaction? ​

When you compare the effect of one variable at one level of another variable you are examining

In a factorial design a cell is

To calculate the sum of squares for a treatment effect in the analysis of variance, we would work with

If the analysis of variance is significant, we are pretty sure that

Calculate and interpret F for each effect based on the following data.

If you have a significant interaction, you should

This graph represents a/an ​

To calculate the F for a simple effect you

A simple effect is calculated by

Introduction

Basic Concepts

Displaying Data

Measures of Central Tendency

Measures of Variability

The Normal Distribution

Basic Concepts of Probability

Sampling Distributions and Hypothesis Testing

Correlation

Regression

Multiple Regression

Hypothesis Tests Applied to Means: One Sample

Hypothesis Tests Applied to Means: Two Related Samples

Hypothesis Tests Applied to Means: Two Independent Samples

Power

One-Way Analysis of Variance

Repeated-Measures Analysis of Variance

Chi-Square

Nonparametric and Resampling Statistical Tests

Meta-Analysis

Filters

Which of the following graphs is most likely to portray an interaction?

This graph represents a/an