Question 1

A 2 × 4 factorial involves two independent variables. One has two levels and the other has four.

Accepted Answer

A) True 
 B)False  False

Question 2

Which of the following is NOT true in a factorial analysis of variance?

Accepted Answer

A)  SS total = SS A + SS B + SS AB 
B)  SS total = SS A + SS B + SS AB + SS error 
C)  SS cells = SS A + SS B + SS AB 
D)  SS total = SS cells + SS error 
A)  SS total = SS A + SS B + SS AB 
B)  SS total = SS A + SS B + SS AB + SS error 
C)  SS cells = SS A + SS B + SS AB 
D)  SS total = SS cells + SS error A

Question 3

X13 refers to the value located in the first row and the third column.

Accepted Answer

A) True 
 B)False  True

Question 4

Three main effects and three interactions are tested in a factorial design with three independent variables.

Accepted Answer

A) True 
 B)False

Question 5

In the factorial design analyses discussed in Chapter 17, the different cells

Accepted Answer

A)  often have different subjects in them. 
B)  never have different subjects in them. 
C)  always have different subjects. 
D)  can have either the same subjects or different subjects. 
A)  often have different subjects in them. 
B)  never have different subjects in them. 
C)  always have different subjects. 
D)  can have either the same subjects or different subjects.

Question 6

Determine whether each of the following effects is statistically significant at α = .05.

Accepted Answer

There is a significant main ef

Question 7

The mean difference in GPA based on Gender for Freshman only is a simple effect.

Accepted Answer

A) True 
 B)False

Question 8

Use the following ANOVA summary table to answer the following four questions:
 
How many cells are there in this design?

Accepted Answer

A)  1 
B)  4 
C)  8 
D)  10 
A)  1 
B)  4 
C)  8 
D)  10

Question 9

Using the example in the text of a participant receiving therapy while sitting in a bath of ice water, what would be the best denominator for calculating   ?

Accepted Answer

A)  the square root of MSerror 
B)  the square root of MSerror after removing effects due to the Ice condition and its interaction with treatment 
C)  the standard deviation of participants in the non-ice condition 
D)  the standard deviation of difference scores 
A)  the square root of MSerror 
B)  the square root of MSerror after removing effects due to the Ice condition and its interaction with treatment 
C)  the standard deviation of participants in the non-ice condition 
D)  the standard deviation of difference scores

Question 10

A factorial design has at least

Accepted Answer

A)  one dependent variable and one independent variable. 
B)  two dependent variables and one independent variable. 
C)  two independent variables and one dependent variable. 
D)  The number of independent variables is not important. 
A)  one dependent variable and one independent variable. 
B)  two dependent variables and one independent variable. 
C)  two independent variables and one dependent variable. 
D)  The number of independent variables is not important.

Question 11

To look at an interaction effect we must

Accepted Answer

A)  consider one variable at a time. 
B)  plot the data within each cell. 
C)  plot the data in such a way that we see how each independent variable changes at each level of the other independent variable. 
D)  calculate the row means. 
A)  consider one variable at a time. 
B)  plot the data within each cell. 
C)  plot the data in such a way that we see how each independent variable changes at each level of the other independent variable. 
D)  calculate the row means.

Question 12

In the text the Eysenck study of recall as a function of Age and Instructions allowed us to see that

Accepted Answer

A)  older subjects don't recall as well as earlier subjects, on average. 
B)  older and younger subjects differ more on tasks which involve greater depth of processing. 
C)  greater processing tends to lead to better recall. 
D)  all of the above 
A)  older subjects don't recall as well as earlier subjects, on average. 
B)  older and younger subjects differ more on tasks which involve greater depth of processing. 
C)  greater processing tends to lead to better recall. 
D)  all of the above

Question 13

In a factorial design based on two independent variables, three F values will be calculated.

Accepted Answer

A) True 
 B)False

Question 14

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.
The results indicated that the participants who watched the educational video scored significantly lower on the rape myth scale compared to the group that watched the owl video. What does this suggest?

Accepted Answer

A)  There is a main effect of alcohol consumption. 
B)  There is a main effect of video type. 
C)  There is an interaction between alcohol consumption and video type. 
D)  For some unknown reason, owls seem to promote rape myth acceptance. 
A)  There is a main effect of alcohol consumption. 
B)  There is a main effect of video type. 
C)  There is an interaction between alcohol consumption and video type. 
D)  For some unknown reason, owls seem to promote rape myth acceptance.

Question 15

In analysis of variance, factor refers to independent variables.

Accepted Answer

A) True 
 B)False

Question 16

The main effect of a variable is

Accepted Answer

A)  the effect of that variable controlling for another variable. 
B)  the effect of that variable averaged over the levels of other independent variable(s). 
C)  part of the interaction effect. 
D)  none of the above 
A)  the effect of that variable controlling for another variable. 
B)  the effect of that variable averaged over the levels of other independent variable(s). 
C)  part of the interaction effect. 
D)  none of the above

Question 17

Unequal sample sizes in a factorial analysis of variance

Accepted Answer

A)  are difficult to deal with when doing calculations by hand. 
B)  are treated exactly as they were in the one-way design. 
C)  cannot be dealt with at all. 
D)  are dealt with just like equal sample sizes when doing hand calculations. 
A)  are difficult to deal with when doing calculations by hand. 
B)  are treated exactly as they were in the one-way design. 
C)  cannot be dealt with at all. 
D)  are dealt with just like equal sample sizes when doing hand calculations.

Question 18

A pediatrician is studying weight gain in infants. He divides them into 2 groups: breast fed and bottle fed. Further, he divides them into those whose mothers feed them on a timed schedule, and those whose mothers feed them when they cry (on demand). Weight gain is the dependent measure. What type of analysis should you run?

Accepted Answer

A)  a regression 
B)  a one-way ANOVA 
C)  a 2 × 2 factorial ANOVA 
D)  a 2 × 2 correlation 
A)  a regression 
B)  a one-way ANOVA 
C)  a 2 × 2 factorial ANOVA 
D)  a 2 × 2 correlation

Question 19

Use the following ANOVA summary table to answer the following four questions:
 
Why does Group have 4 degrees of freedom?

Accepted Answer

A)  because there are 4 groups 
B)  because there are 5 groups (5 - 1 = 4) 
C)  because gender has 1 df (1 × 4 = 4) 
D)  because the design has four cells 
A)  because there are 4 groups 
B)  because there are 5 groups (5 - 1 = 4) 
C)  because gender has 1 df (1 × 4 = 4) 
D)  because the design has four cells

Question 20

To calculate the F for the interaction in an analysis of variance we

Accepted Answer

A)  divide the MS interaction by MS error. 
B)  divide the MS interaction by MS total. 
C)  multiply MS ¬interaction by its df . 
D)  divide MS interaction into MS rows. 
A)  divide the MS interaction by MS error. 
B)  divide the MS interaction by MS total. 
C)  multiply MS ¬interaction by its df . 
D)  divide MS interaction into MS rows.

A 2 × 4 factorial involves two independent variables. One has two levels and the other has four.

Which of the following is NOT true in a factorial analysis of variance?

X₁₃ refers to the value located in the first row and the third column.

Three main effects and three interactions are tested in a factorial design with three independent variables.

In the factorial design analyses discussed in Chapter 17, the different cells

Determine whether each of the following effects is statistically significant at α = .05.

The mean difference in GPA based on Gender for Freshman only is a simple effect.

Use the following ANOVA summary table to answer the following four questions: How many cells are there in this design?

Using the example in the text of a participant receiving therapy while sitting in a bath of ice water, what would be the best denominator for calculating ?

A factorial design has at least

To look at an interaction effect we must

In the text the Eysenck study of recall as a function of Age and Instructions allowed us to see that

In a factorial design based on two independent variables, three F values will be calculated.

In analysis of variance, factor refers to independent variables.

The main effect of a variable is

Unequal sample sizes in a factorial analysis of variance

Use the following ANOVA summary table to answer the following four questions: Why does Group have 4 degrees of freedom?

To calculate the F for the interaction in an analysis of variance we

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 2 × 4 factorial involves two independent variables. One has two levels and the other has four.

Which of the following is NOT true in a factorial analysis of variance?

X13 refers to the value located in the first row and the third column.

Three main effects and three interactions are tested in a factorial design with three independent variables.

In the factorial design analyses discussed in Chapter 17, the different cells

Determine whether each of the following effects is statistically significant at α = .05.

The mean difference in GPA based on Gender for Freshman only is a simple effect.

Use the following ANOVA summary table to answer the following four questions: How many cells are there in this design?

Using the example in the text of a participant receiving therapy while sitting in a bath of ice water, what would be the best denominator for calculating ?

A factorial design has at least

To look at an interaction effect we must

In the text the Eysenck study of recall as a function of Age and Instructions allowed us to see that

In a factorial design based on two independent variables, three F values will be calculated.

In analysis of variance, factor refers to independent variables.

The main effect of a variable is

Unequal sample sizes in a factorial analysis of variance

Use the following ANOVA summary table to answer the following four questions: Why does Group have 4 degrees of freedom?

To calculate the F for the interaction in an analysis of variance we

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

X₁₃ refers to the value located in the first row and the third column.