Deck 14: Two Too Many Factors: Factorial Analysis of Variancea Brief Introduction

ملء الشاشة (f)
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سؤال
When the lines representing the effects of two variables cross on a graph,you have ______.

A)an interaction effect
B)no interaction effect
C)possibly an interaction effect
D)an effect that cannot be determined
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سؤال
When the lines representing the effects of two variables are parallel on a graph,you have ______.

A)an interaction effect
B)no interaction effect
C)possibly an interaction effect
D)an effect that cannot be determined
سؤال
In ANOVA,you have a main effect when ______.

A)a factor significantly affects the outcome variable.
B)an outcome significantly affects a factor.
C)there is an interaction between factors.
D)there is an interaction between outcomes.
سؤال
When analysis of data reveals a difference between levels of a factor,what is this called?

A)interaction effect
B)factor effect
C)level effect
D)main effect
سؤال
How many times are participants tested in the factorial ANOVA?

A)only once
B)exactly twice
C)once or more
D)twice or more
سؤال
When one of two main effects is significant,this means that ______.

A)the other main effect must be significant
B)the interaction effect must be significant
C)the interaction effect must not be significant
D)the other main effect and the interaction effect may or may not be significant
سؤال
The factorial ANOVA can be used to test ______.

A)main effects and interaction effects of the independent variables
B)main effects and interaction effects of the dependent variable
C)main effects of the independent variables only
D)main effects of the dependent variable only
سؤال
If you find that income significantly varies by gender,you have ______.

A)a main effect
B)an interaction effect
C)both a main effect and an interaction effect
D)neither a main effect nor an interaction effect
سؤال
The number of main effects is equal to the number of ______.

A)dependent variables
B)independent variables
C)independent variables plus the number of interaction effects
D)dependent variables minus the number of interaction effects
سؤال
In the main effect F(1,9) = 1.67,p = 0.229,what is 1.67?

A)the obtained value
B)the critical value
C)the probability level
D)the correlation
سؤال
The factorial ANOVA is used when you have ______.

A)one independent variable
B)two dependent variables
C)more than one independent variable
D)two or more dependent variables
سؤال
In ANOVA,you have an interaction effect when ______.

A)the effect of one independent variable differs based on the level of a second independent variable
B)the effect of one dependent variable differs based on the level of a second dependent variable
C)the effect of one dependent variable differs based on the level of a second independent variable
D)the effect of one independent variable differs based on the level of a second dependent variable
سؤال
A factorial ANOVA is a(an)______ analysis.

A)univariate
B)bivariate
C)multivariate
D)exivariate
سؤال
Results from an ANOVA are placed in a(an)______ table.

A)ANOVA table
B)source table
C)effects table
D)output table
سؤال
Independent variables are thought of as ______.

A)factors
B)repeated measures
C)a mixed design
D)a one-way ANOVA
سؤال
In the main effect F(1,9) = 1.67,p = 0.229,what is 0.229?

A)the obtained value
B)the critical value
C)the correlation
D)the level of significance
سؤال
Use a factorial ANOVA when you have ______ variables.

A)two independent
B)two dependent
C)one independent
D)three dependent
سؤال
When examining the impact of more than one independent variable on the outcome variable,what type of ANOVA should be used?

A)multivariate ANOVA
B)factorial ANOVA
C)one-way ANOVA
D)simple ANOVA
سؤال
What is another name for a factorial ANOVA?

A)one-way ANOVA
B)two-way ANOVA
C)simple ANOVA
D)complex ANOVA
سؤال
In the main effect F(1,9) = 1.67,p = 0.229,what does F stand for?

A)the probability level
B)the critical value
C)the F value
D)the F statistic
سؤال
If your analysis notes that males in a weight loss study differ from females in the weight loss study in the amount of weight lost based on the type of weight loss program used,what type of effect is this called?

A)interaction effect
B)factor effect
C)level effect
D)main effect
سؤال
You are interested in finding out if students' achievement level changes over time as result of a reading intervention.What type of ANOVA would you use?

A)repeated measures
B)between-groups design
C)mixed design
D)one-way ANOVA
سؤال
How many null hypotheses are associated with a two-way ANOVA?

A)one
B)two
C)three
D)four
سؤال
An analysis that examines more than one dependent variable or outcome is known as ______ ANOVA.

A)multivariate
B)one-way
C)univariate
D)two-way
سؤال
An analysis examining one dependent variable or outcome is known as ______ ANOVA.

A)multivariate
B)simple
C)one-way
D)univariate
سؤال
What type of ANOVA is used when there is only one type of treatment or grouping factor with more than two levels?

A)one-way
B)two-way
C)three-way
D)four-way
سؤال
In a factorial ANOVA,one of the research hypotheses for a main effect might look like ______.

A)H0: µmale = µ2female
B)H1: <strong>In a factorial ANOVA,one of the research hypotheses for a main effect might look like ______.</strong> A)H<sub>0: </sub>µ<sub>male = </sub>µ<sub>2female</sub> B)H<sub>1: </sub> <sub> </sub>   <sub> </sub> <sub>male </sub><sub>≠</sub> <sub> </sub>   <sub> </sub> <sub>female</sub> C)H<sub>1: </sub> <sub> </sub>   <sub> </sub> <sub>male =</sub> <sub> </sub>   <sub> </sub> <sub>female </sub> D)H<sub>1: </sub>µ<sub>male = </sub>µ<sub>female = </sub>µ<sub>age</sub> <div style=padding-top: 35px>
male
<strong>In a factorial ANOVA,one of the research hypotheses for a main effect might look like ______.</strong> A)H<sub>0: </sub>µ<sub>male = </sub>µ<sub>2female</sub> B)H<sub>1: </sub> <sub> </sub>   <sub> </sub> <sub>male </sub><sub>≠</sub> <sub> </sub>   <sub> </sub> <sub>female</sub> C)H<sub>1: </sub> <sub> </sub>   <sub> </sub> <sub>male =</sub> <sub> </sub>   <sub> </sub> <sub>female </sub> D)H<sub>1: </sub>µ<sub>male = </sub>µ<sub>female = </sub>µ<sub>age</sub> <div style=padding-top: 35px>
female
C)H1: <strong>In a factorial ANOVA,one of the research hypotheses for a main effect might look like ______.</strong> A)H<sub>0: </sub>µ<sub>male = </sub>µ<sub>2female</sub> B)H<sub>1: </sub> <sub> </sub>   <sub> </sub> <sub>male </sub><sub>≠</sub> <sub> </sub>   <sub> </sub> <sub>female</sub> C)H<sub>1: </sub> <sub> </sub>   <sub> </sub> <sub>male =</sub> <sub> </sub>   <sub> </sub> <sub>female </sub> D)H<sub>1: </sub>µ<sub>male = </sub>µ<sub>female = </sub>µ<sub>age</sub> <div style=padding-top: 35px>
male =
<strong>In a factorial ANOVA,one of the research hypotheses for a main effect might look like ______.</strong> A)H<sub>0: </sub>µ<sub>male = </sub>µ<sub>2female</sub> B)H<sub>1: </sub> <sub> </sub>   <sub> </sub> <sub>male </sub><sub>≠</sub> <sub> </sub>   <sub> </sub> <sub>female</sub> C)H<sub>1: </sub> <sub> </sub>   <sub> </sub> <sub>male =</sub> <sub> </sub>   <sub> </sub> <sub>female </sub> D)H<sub>1: </sub>µ<sub>male = </sub>µ<sub>female = </sub>µ<sub>age</sub> <div style=padding-top: 35px>
female
D)H1: µmale = µfemale = µage
سؤال
Which of the following would be an example of a design that examines the effects gender and school type (i.e. ,elementary,middle,or high school)on a scale of student attitudes toward learning?

A)2 × 2 ANOVA
B)3 × 3 ANOVA
C)2 × 3 ANOVA
D)simple ANOVA
سؤال
How many null hypotheses are used in a 2 × 2 factorial ANOVA?

A)1
B)2
C)3
D)4
سؤال
Which of the following would be an example of a design that examines the effects of gender and SES (high SES and low SES)on a test of student achievement?

A)one-way ANOVA
B)2 × 2 ANOVA
C)multivariate ANOVA
D)3 × 2 ANOVA
سؤال
How many research hypotheses are used in a 2 × 2 factorial ANOVA?

A)1
B)2
C)3
D)4
سؤال
What type of ANOVA would examine effects of political party (i.e. ,Democrat,Republican,or independent)affiliation and gender on attitudes toward the death penalty?

A)2 × 2 ANOVA
B)3 × 2 ANOVA
C)3 × 2 × 1 ANOVA
D)3 × 3 ANOVA
سؤال
In a factorial ANOVA,one of the null hypotheses might look like ______.

A)H0: µ1 = µ2
B)H0: µ1 µ2
C)H1: µ1 = µ2
D)H0: <strong>In a factorial ANOVA,one of the null hypotheses might look like ______.</strong> A)H<sub>0: </sub>µ<sub>1 = </sub>µ<sub>2</sub> B)H<sub>0: </sub>µ<sub>1 </sub><sub>≠</sub><sub> </sub>µ<sub>2</sub> C)H<sub>1: </sub>µ<sub>1 = </sub>µ<sub>2</sub> D)H<sub>0: </sub> <sub> </sub>   <sub> </sub> <sub>1 =</sub><sub> </sub> <sub> </sub>   <sub> </sub> <sub>2</sub> <div style=padding-top: 35px>
1 =
<strong>In a factorial ANOVA,one of the null hypotheses might look like ______.</strong> A)H<sub>0: </sub>µ<sub>1 = </sub>µ<sub>2</sub> B)H<sub>0: </sub>µ<sub>1 </sub><sub>≠</sub><sub> </sub>µ<sub>2</sub> C)H<sub>1: </sub>µ<sub>1 = </sub>µ<sub>2</sub> D)H<sub>0: </sub> <sub> </sub>   <sub> </sub> <sub>1 =</sub><sub> </sub> <sub> </sub>   <sub> </sub> <sub>2</sub> <div style=padding-top: 35px>
2
سؤال
In a weight loss study you find that participants differ in amount of weight lost based on their gender.What type of effect is this?

A)interaction effect
B)factor effect
C)level effect
D)main effect
سؤال
What is it called when the analysis of data reveals differential effects of one factor across levels of another factor?

A)interaction effect
B)factor effect
C)level effect
D)main effect
سؤال
In a factorial ANOVA,the effect of one factor is called the ______.

A)interaction effect
B)main effect
C)differential effect
D)experimental effect
سؤال
When your analysis finds that participants in a weight loss study differ in amount of weight lost based on the type of weight loss program used,what type of effect is this called?

A)main effect
B)level effect
C)factor effect
D)interaction effect
سؤال
If you wanted to examine whether attitudes toward learning differ based on students' grade in school (i.e. ,first,second,third),what is the independent variable of interest?

A)grade level
B)students' attitudes
C)parents' attitudes
D)level of parent involvement
سؤال
When examining more than one factor,what type of ANOVA should be used?

A)one-way ANOVA
B)multivariate ANOVA
C)simple ANOVA
D)factorial ANOVA
سؤال
In a factorial ANOVA,one of the research hypotheses might look like ______.

A)H0: <strong>In a factorial ANOVA,one of the research hypotheses might look like ______.</strong> A)H<sub>0: </sub> <sub> </sub>   <sub> </sub> <sub>1 </sub><sub>≠</sub> <sub> </sub>   <sub> </sub> <sub>2</sub> B)H<sub>1: </sub> <sub> </sub>   <sub> </sub> <sub>1 =</sub> <sub> </sub>   <sub> </sub> <sub>2</sub> C)H<sub>1: </sub> <sub> </sub>   <sub> </sub> <sub>1 </sub><sub>≠</sub> <sub> </sub>   <sub> </sub> <sub>2</sub> D)H<sub>0: </sub> <sub> </sub>   <sub> </sub> <sub>1 =</sub> <sub> </sub>   <sub> </sub> <sub>2</sub> <div style=padding-top: 35px>
1
<strong>In a factorial ANOVA,one of the research hypotheses might look like ______.</strong> A)H<sub>0: </sub> <sub> </sub>   <sub> </sub> <sub>1 </sub><sub>≠</sub> <sub> </sub>   <sub> </sub> <sub>2</sub> B)H<sub>1: </sub> <sub> </sub>   <sub> </sub> <sub>1 =</sub> <sub> </sub>   <sub> </sub> <sub>2</sub> C)H<sub>1: </sub> <sub> </sub>   <sub> </sub> <sub>1 </sub><sub>≠</sub> <sub> </sub>   <sub> </sub> <sub>2</sub> D)H<sub>0: </sub> <sub> </sub>   <sub> </sub> <sub>1 =</sub> <sub> </sub>   <sub> </sub> <sub>2</sub> <div style=padding-top: 35px>
2
B)H1: <strong>In a factorial ANOVA,one of the research hypotheses might look like ______.</strong> A)H<sub>0: </sub> <sub> </sub>   <sub> </sub> <sub>1 </sub><sub>≠</sub> <sub> </sub>   <sub> </sub> <sub>2</sub> B)H<sub>1: </sub> <sub> </sub>   <sub> </sub> <sub>1 =</sub> <sub> </sub>   <sub> </sub> <sub>2</sub> C)H<sub>1: </sub> <sub> </sub>   <sub> </sub> <sub>1 </sub><sub>≠</sub> <sub> </sub>   <sub> </sub> <sub>2</sub> D)H<sub>0: </sub> <sub> </sub>   <sub> </sub> <sub>1 =</sub> <sub> </sub>   <sub> </sub> <sub>2</sub> <div style=padding-top: 35px>
1 =
<strong>In a factorial ANOVA,one of the research hypotheses might look like ______.</strong> A)H<sub>0: </sub> <sub> </sub>   <sub> </sub> <sub>1 </sub><sub>≠</sub> <sub> </sub>   <sub> </sub> <sub>2</sub> B)H<sub>1: </sub> <sub> </sub>   <sub> </sub> <sub>1 =</sub> <sub> </sub>   <sub> </sub> <sub>2</sub> C)H<sub>1: </sub> <sub> </sub>   <sub> </sub> <sub>1 </sub><sub>≠</sub> <sub> </sub>   <sub> </sub> <sub>2</sub> D)H<sub>0: </sub> <sub> </sub>   <sub> </sub> <sub>1 =</sub> <sub> </sub>   <sub> </sub> <sub>2</sub> <div style=padding-top: 35px>
2
C)H1: <strong>In a factorial ANOVA,one of the research hypotheses might look like ______.</strong> A)H<sub>0: </sub> <sub> </sub>   <sub> </sub> <sub>1 </sub><sub>≠</sub> <sub> </sub>   <sub> </sub> <sub>2</sub> B)H<sub>1: </sub> <sub> </sub>   <sub> </sub> <sub>1 =</sub> <sub> </sub>   <sub> </sub> <sub>2</sub> C)H<sub>1: </sub> <sub> </sub>   <sub> </sub> <sub>1 </sub><sub>≠</sub> <sub> </sub>   <sub> </sub> <sub>2</sub> D)H<sub>0: </sub> <sub> </sub>   <sub> </sub> <sub>1 =</sub> <sub> </sub>   <sub> </sub> <sub>2</sub> <div style=padding-top: 35px>
1
<strong>In a factorial ANOVA,one of the research hypotheses might look like ______.</strong> A)H<sub>0: </sub> <sub> </sub>   <sub> </sub> <sub>1 </sub><sub>≠</sub> <sub> </sub>   <sub> </sub> <sub>2</sub> B)H<sub>1: </sub> <sub> </sub>   <sub> </sub> <sub>1 =</sub> <sub> </sub>   <sub> </sub> <sub>2</sub> C)H<sub>1: </sub> <sub> </sub>   <sub> </sub> <sub>1 </sub><sub>≠</sub> <sub> </sub>   <sub> </sub> <sub>2</sub> D)H<sub>0: </sub> <sub> </sub>   <sub> </sub> <sub>1 =</sub> <sub> </sub>   <sub> </sub> <sub>2</sub> <div style=padding-top: 35px>
2
D)H0: <strong>In a factorial ANOVA,one of the research hypotheses might look like ______.</strong> A)H<sub>0: </sub> <sub> </sub>   <sub> </sub> <sub>1 </sub><sub>≠</sub> <sub> </sub>   <sub> </sub> <sub>2</sub> B)H<sub>1: </sub> <sub> </sub>   <sub> </sub> <sub>1 =</sub> <sub> </sub>   <sub> </sub> <sub>2</sub> C)H<sub>1: </sub> <sub> </sub>   <sub> </sub> <sub>1 </sub><sub>≠</sub> <sub> </sub>   <sub> </sub> <sub>2</sub> D)H<sub>0: </sub> <sub> </sub>   <sub> </sub> <sub>1 =</sub> <sub> </sub>   <sub> </sub> <sub>2</sub> <div style=padding-top: 35px>
1 =
<strong>In a factorial ANOVA,one of the research hypotheses might look like ______.</strong> A)H<sub>0: </sub> <sub> </sub>   <sub> </sub> <sub>1 </sub><sub>≠</sub> <sub> </sub>   <sub> </sub> <sub>2</sub> B)H<sub>1: </sub> <sub> </sub>   <sub> </sub> <sub>1 =</sub> <sub> </sub>   <sub> </sub> <sub>2</sub> C)H<sub>1: </sub> <sub> </sub>   <sub> </sub> <sub>1 </sub><sub>≠</sub> <sub> </sub>   <sub> </sub> <sub>2</sub> D)H<sub>0: </sub> <sub> </sub>   <sub> </sub> <sub>1 =</sub> <sub> </sub>   <sub> </sub> <sub>2</sub> <div style=padding-top: 35px>
2
سؤال
In the main effect F(1,9) = 1.67,p = 0.229,what is the level of significance?

A)1
B)9
C)1.67
D)0.229
سؤال
A researcher wants to create an intervention to improve the well-being of graduate students in a counseling program,so she gives one group of students specific doses of rocky road ice cream,the second group of students specific doses of licorice,and the third group of students specific doses of chewy fruit-flavored candies for their treatments.As a second factor,she includes students in their first semester of their first year of graduate school as one cohort and students in the first semester of their second year of graduate school as the other cohort.The first factor in this intervention would be ______,the second factor would be ______,and the dependent variable would be ______.

A)type of treatment;cohort;well-being
B)well-being;students;cohort
C)well-being;cohort;type of treatment
D)type of treatment;well-being;cohort
سؤال
If you wanted to examine whether television viewing through social learning differs based on students' grade in school (i.e. ,first,second,third),what is the independent variable of interest?

A)grade level
B)television viewing
C)students
D)school
سؤال
The factorial ANOVA is used when you have multiple independent variables.
سؤال
In the main effect F(1,9) = 1.67,p = 0.229,what is the obtained value?

A)1
B)9
C)1.67
D).229
سؤال
How many times are subjects measured in the factorial ANOVA?

A)only once
B)exactly twice
C)once or more
D)twice or more
سؤال
In a factorial ANOVA,the research hypothesis for the interaction might look like ______.

A)H1: µupper × new = µupper × returning = µmiddle × new = µmiddle × returning
B)H0: µupper × new ≠ µupper × returning µmiddle × new ≠ µmiddle × returning
C)H1: upper × new = upper × returning = middle × new = middle × returning
D)H1: upper × new upper × returning middle × new middle × returning
سؤال
In the main effect F(1,12) = 5.25,p < 0.05,what does the symbol p stand for?

A)the obtained value
B)the critical value
C)the probability level
D)the correlation
سؤال
If you wanted to examine whether television viewing through social learning differs based on students' grade in school (i.e. ,first,second,third),what is the dependent variable of interest?

A)grade level
B)television viewing
C)students
D)school
سؤال
Dr.Moo conducted a research project in which she compared the impact of two types of therapy (pizza therapy and chocolate therapy)and gender on college students' happiness.What is the following table called? <strong>Dr.Moo conducted a research project in which she compared the impact of two types of therapy (pizza therapy and chocolate therapy)and gender on college students' happiness.What is the following table called?  </strong> A)results table B)outcome table C)variable table D)source table <div style=padding-top: 35px>

A)results table
B)outcome table
C)variable table
D)source table
سؤال
What is the two-way analysis of variance?

A)one-way ANOVA
B)factorial ANOVA
C)simple ANOVA
D)complex ANOVA
سؤال
A researcher wants to create an intervention to improve the well-being of graduate students in a counseling program,so she gives one group of students specific doses of rocky road ice cream,the second group of students specific doses of licorice,and the third group of students specific doses of chewy fruit-flavored candies for their treatments.As a second factor,she includes students in their first semester of their first year of graduate school as one cohort and students in the first semester of their second year of graduate school as the other cohort.To analyze the differences in well-being between the students in the three different "treatments" and two cohorts,she would use a(n)______.

A)analysis of covariance
B)analysis of variance
C)factorial analysis of variance
D)repeated-measures analysis of variance
سؤال
In a factorial ANOVA,one of the null hypotheses for a main effect might look like ______.

A)H0: µmale = µ2female
B)H1: µmale = µfemale = µage
C)H1: <strong>In a factorial ANOVA,one of the null hypotheses for a main effect might look like ______.</strong> A)H<sub>0: </sub>µ<sub>male = </sub>µ<sub>2female</sub> B)H<sub>1: </sub>µ<sub>male = </sub>µ<sub>female = </sub>µ<sub>age</sub> C)H<sub>1: </sub> <sub> </sub>   <sub> </sub> <sub>male =</sub> <sub> </sub>   <sub> </sub> <sub>female</sub> D)H<sub>0: </sub> <sub> </sub>   <sub> </sub> <sub>male </sub><sub>≠</sub> <sub> </sub>   <sub> </sub> <sub>female</sub> <div style=padding-top: 35px>
male =
<strong>In a factorial ANOVA,one of the null hypotheses for a main effect might look like ______.</strong> A)H<sub>0: </sub>µ<sub>male = </sub>µ<sub>2female</sub> B)H<sub>1: </sub>µ<sub>male = </sub>µ<sub>female = </sub>µ<sub>age</sub> C)H<sub>1: </sub> <sub> </sub>   <sub> </sub> <sub>male =</sub> <sub> </sub>   <sub> </sub> <sub>female</sub> D)H<sub>0: </sub> <sub> </sub>   <sub> </sub> <sub>male </sub><sub>≠</sub> <sub> </sub>   <sub> </sub> <sub>female</sub> <div style=padding-top: 35px>
female
D)H0: <strong>In a factorial ANOVA,one of the null hypotheses for a main effect might look like ______.</strong> A)H<sub>0: </sub>µ<sub>male = </sub>µ<sub>2female</sub> B)H<sub>1: </sub>µ<sub>male = </sub>µ<sub>female = </sub>µ<sub>age</sub> C)H<sub>1: </sub> <sub> </sub>   <sub> </sub> <sub>male =</sub> <sub> </sub>   <sub> </sub> <sub>female</sub> D)H<sub>0: </sub> <sub> </sub>   <sub> </sub> <sub>male </sub><sub>≠</sub> <sub> </sub>   <sub> </sub> <sub>female</sub> <div style=padding-top: 35px>
male
<strong>In a factorial ANOVA,one of the null hypotheses for a main effect might look like ______.</strong> A)H<sub>0: </sub>µ<sub>male = </sub>µ<sub>2female</sub> B)H<sub>1: </sub>µ<sub>male = </sub>µ<sub>female = </sub>µ<sub>age</sub> C)H<sub>1: </sub> <sub> </sub>   <sub> </sub> <sub>male =</sub> <sub> </sub>   <sub> </sub> <sub>female</sub> D)H<sub>0: </sub> <sub> </sub>   <sub> </sub> <sub>male </sub><sub>≠</sub> <sub> </sub>   <sub> </sub> <sub>female</sub> <div style=padding-top: 35px>
female
سؤال
Dr.Moo conducted a research project in which she compared the impact of two types of therapy (pizza therapy and chocolate therapy)and gender on college students' happiness.Which of the following can be confirmed by the table below? <strong>Dr.Moo conducted a research project in which she compared the impact of two types of therapy (pizza therapy and chocolate therapy)and gender on college students' happiness.Which of the following can be confirmed by the table below?  </strong> A)There is no interaction effect B)There is a main effect of gender. C)There is an interaction effect. D)There is a main effect of therapy. <div style=padding-top: 35px>

A)There is no interaction effect
B)There is a main effect of gender.
C)There is an interaction effect.
D)There is a main effect of therapy.
سؤال
To examine the impact of three different types of wall paint colors (blue,green,and yellow)on how often toddlers cry,which test is appropriate to use?

A)factorial ANOVA
B)t-test for dependent samples
C)t-test for independent samples
D)one-way ANOVA
سؤال
In a factorial ANOVA,the null hypothesis for the interaction might look like ______.

A)H0: µupper × new = µupper × returning = µmiddle × new = µmiddle × returning
B)H0: µupper × new ≠ µupper × returning µmiddle × new ≠ µmiddle × returning
C)H1: upper × new = upper × returning = middle × new = middle × returning
D)H1: upper × new upper × returning middle × new middle × returning
سؤال
You wish to examine the impact of two different types of music (pop music and jazz music)and pet food served (wet food and dry food)on how often cats glare at their owners.Which test is appropriate to use?

A)factorial ANOVA
B)t-test for dependent samples
C)t-test for independent samples
D)one-way ANOVA
سؤال
In the main effect F(1,12) = 5.25,p < 0.05,what is the number of 5.25?

A)the obtained value
B)the critical value
C)the probability level
D)the correlation
سؤال
In what circumstance do you use the factorial ANOVA?

A)when you have one independent variable
B)when you have more than one independent variable
C)when you have two dependent variables
D)when you have two or more dependent variables
سؤال
When results show a difference between levels of a factor,this difference is called ______.

A)an interaction effect
B)a factor effect
C)a level effect
D)a main effect
سؤال
What is a factorial ANOVA?
سؤال
When an independent variable has a significant effect on the outcome variable,you have a main effect.
سؤال
What three questions can you answer by doing a 2 × 2 factorial analysis?
سؤال
The source table lists sources of variance in an analysis of variance.
سؤال
One of the easiest ways to see the magnitude of an interaction (or the absence of one)in a factorial ANOVA is to plot the means.
سؤال
When should you use a factorial ANOVA instead of a simple ANOVA?
سؤال
The factorial ANOVA can test main effects but not interaction effects.
سؤال
The test statistic used in the factorial ANOVA is the T-test.
سؤال
What are the three null hypotheses used in a 2 × 2 factorial analysis?
سؤال
What is a main effect?
سؤال
Dr.Moo conducted a research project in which she compared the impact of two types of therapy (pizza therapy and chocolate therapy)and gender on college students' happiness.How many research hypotheses did she have,and how would you write them?
سؤال
An interaction effect is a phenomenon where the effect of one independent variable on the dependent variable differs based on the level of a second independent variable.
سؤال
Why do we use SPSS to calculate a factorial ANOVA?
سؤال
If your main effects are significant,your interaction effects will also be significant in all cases.
سؤال
In the factorial ANOVA,participants are tested only once.
سؤال
What are the three research hypotheses used in a 2 × 2 factorial analysis?
سؤال
Interaction effects are between independent variables.
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Deck 14: Two Too Many Factors: Factorial Analysis of Variancea Brief Introduction
1
When the lines representing the effects of two variables cross on a graph,you have ______.

A)an interaction effect
B)no interaction effect
C)possibly an interaction effect
D)an effect that cannot be determined
an interaction effect
2
When the lines representing the effects of two variables are parallel on a graph,you have ______.

A)an interaction effect
B)no interaction effect
C)possibly an interaction effect
D)an effect that cannot be determined
no interaction effect
3
In ANOVA,you have a main effect when ______.

A)a factor significantly affects the outcome variable.
B)an outcome significantly affects a factor.
C)there is an interaction between factors.
D)there is an interaction between outcomes.
a factor significantly affects the outcome variable.
4
When analysis of data reveals a difference between levels of a factor,what is this called?

A)interaction effect
B)factor effect
C)level effect
D)main effect
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5
How many times are participants tested in the factorial ANOVA?

A)only once
B)exactly twice
C)once or more
D)twice or more
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6
When one of two main effects is significant,this means that ______.

A)the other main effect must be significant
B)the interaction effect must be significant
C)the interaction effect must not be significant
D)the other main effect and the interaction effect may or may not be significant
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7
The factorial ANOVA can be used to test ______.

A)main effects and interaction effects of the independent variables
B)main effects and interaction effects of the dependent variable
C)main effects of the independent variables only
D)main effects of the dependent variable only
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8
If you find that income significantly varies by gender,you have ______.

A)a main effect
B)an interaction effect
C)both a main effect and an interaction effect
D)neither a main effect nor an interaction effect
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9
The number of main effects is equal to the number of ______.

A)dependent variables
B)independent variables
C)independent variables plus the number of interaction effects
D)dependent variables minus the number of interaction effects
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10
In the main effect F(1,9) = 1.67,p = 0.229,what is 1.67?

A)the obtained value
B)the critical value
C)the probability level
D)the correlation
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11
The factorial ANOVA is used when you have ______.

A)one independent variable
B)two dependent variables
C)more than one independent variable
D)two or more dependent variables
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12
In ANOVA,you have an interaction effect when ______.

A)the effect of one independent variable differs based on the level of a second independent variable
B)the effect of one dependent variable differs based on the level of a second dependent variable
C)the effect of one dependent variable differs based on the level of a second independent variable
D)the effect of one independent variable differs based on the level of a second dependent variable
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13
A factorial ANOVA is a(an)______ analysis.

A)univariate
B)bivariate
C)multivariate
D)exivariate
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14
Results from an ANOVA are placed in a(an)______ table.

A)ANOVA table
B)source table
C)effects table
D)output table
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15
Independent variables are thought of as ______.

A)factors
B)repeated measures
C)a mixed design
D)a one-way ANOVA
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16
In the main effect F(1,9) = 1.67,p = 0.229,what is 0.229?

A)the obtained value
B)the critical value
C)the correlation
D)the level of significance
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17
Use a factorial ANOVA when you have ______ variables.

A)two independent
B)two dependent
C)one independent
D)three dependent
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18
When examining the impact of more than one independent variable on the outcome variable,what type of ANOVA should be used?

A)multivariate ANOVA
B)factorial ANOVA
C)one-way ANOVA
D)simple ANOVA
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19
What is another name for a factorial ANOVA?

A)one-way ANOVA
B)two-way ANOVA
C)simple ANOVA
D)complex ANOVA
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20
In the main effect F(1,9) = 1.67,p = 0.229,what does F stand for?

A)the probability level
B)the critical value
C)the F value
D)the F statistic
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21
If your analysis notes that males in a weight loss study differ from females in the weight loss study in the amount of weight lost based on the type of weight loss program used,what type of effect is this called?

A)interaction effect
B)factor effect
C)level effect
D)main effect
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22
You are interested in finding out if students' achievement level changes over time as result of a reading intervention.What type of ANOVA would you use?

A)repeated measures
B)between-groups design
C)mixed design
D)one-way ANOVA
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23
How many null hypotheses are associated with a two-way ANOVA?

A)one
B)two
C)three
D)four
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24
An analysis that examines more than one dependent variable or outcome is known as ______ ANOVA.

A)multivariate
B)one-way
C)univariate
D)two-way
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25
An analysis examining one dependent variable or outcome is known as ______ ANOVA.

A)multivariate
B)simple
C)one-way
D)univariate
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26
What type of ANOVA is used when there is only one type of treatment or grouping factor with more than two levels?

A)one-way
B)two-way
C)three-way
D)four-way
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27
In a factorial ANOVA,one of the research hypotheses for a main effect might look like ______.

A)H0: µmale = µ2female
B)H1: <strong>In a factorial ANOVA,one of the research hypotheses for a main effect might look like ______.</strong> A)H<sub>0: </sub>µ<sub>male = </sub>µ<sub>2female</sub> B)H<sub>1: </sub> <sub> </sub>   <sub> </sub> <sub>male </sub><sub>≠</sub> <sub> </sub>   <sub> </sub> <sub>female</sub> C)H<sub>1: </sub> <sub> </sub>   <sub> </sub> <sub>male =</sub> <sub> </sub>   <sub> </sub> <sub>female </sub> D)H<sub>1: </sub>µ<sub>male = </sub>µ<sub>female = </sub>µ<sub>age</sub>
male
<strong>In a factorial ANOVA,one of the research hypotheses for a main effect might look like ______.</strong> A)H<sub>0: </sub>µ<sub>male = </sub>µ<sub>2female</sub> B)H<sub>1: </sub> <sub> </sub>   <sub> </sub> <sub>male </sub><sub>≠</sub> <sub> </sub>   <sub> </sub> <sub>female</sub> C)H<sub>1: </sub> <sub> </sub>   <sub> </sub> <sub>male =</sub> <sub> </sub>   <sub> </sub> <sub>female </sub> D)H<sub>1: </sub>µ<sub>male = </sub>µ<sub>female = </sub>µ<sub>age</sub>
female
C)H1: <strong>In a factorial ANOVA,one of the research hypotheses for a main effect might look like ______.</strong> A)H<sub>0: </sub>µ<sub>male = </sub>µ<sub>2female</sub> B)H<sub>1: </sub> <sub> </sub>   <sub> </sub> <sub>male </sub><sub>≠</sub> <sub> </sub>   <sub> </sub> <sub>female</sub> C)H<sub>1: </sub> <sub> </sub>   <sub> </sub> <sub>male =</sub> <sub> </sub>   <sub> </sub> <sub>female </sub> D)H<sub>1: </sub>µ<sub>male = </sub>µ<sub>female = </sub>µ<sub>age</sub>
male =
<strong>In a factorial ANOVA,one of the research hypotheses for a main effect might look like ______.</strong> A)H<sub>0: </sub>µ<sub>male = </sub>µ<sub>2female</sub> B)H<sub>1: </sub> <sub> </sub>   <sub> </sub> <sub>male </sub><sub>≠</sub> <sub> </sub>   <sub> </sub> <sub>female</sub> C)H<sub>1: </sub> <sub> </sub>   <sub> </sub> <sub>male =</sub> <sub> </sub>   <sub> </sub> <sub>female </sub> D)H<sub>1: </sub>µ<sub>male = </sub>µ<sub>female = </sub>µ<sub>age</sub>
female
D)H1: µmale = µfemale = µage
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28
Which of the following would be an example of a design that examines the effects gender and school type (i.e. ,elementary,middle,or high school)on a scale of student attitudes toward learning?

A)2 × 2 ANOVA
B)3 × 3 ANOVA
C)2 × 3 ANOVA
D)simple ANOVA
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29
How many null hypotheses are used in a 2 × 2 factorial ANOVA?

A)1
B)2
C)3
D)4
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30
Which of the following would be an example of a design that examines the effects of gender and SES (high SES and low SES)on a test of student achievement?

A)one-way ANOVA
B)2 × 2 ANOVA
C)multivariate ANOVA
D)3 × 2 ANOVA
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31
How many research hypotheses are used in a 2 × 2 factorial ANOVA?

A)1
B)2
C)3
D)4
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32
What type of ANOVA would examine effects of political party (i.e. ,Democrat,Republican,or independent)affiliation and gender on attitudes toward the death penalty?

A)2 × 2 ANOVA
B)3 × 2 ANOVA
C)3 × 2 × 1 ANOVA
D)3 × 3 ANOVA
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33
In a factorial ANOVA,one of the null hypotheses might look like ______.

A)H0: µ1 = µ2
B)H0: µ1 µ2
C)H1: µ1 = µ2
D)H0: <strong>In a factorial ANOVA,one of the null hypotheses might look like ______.</strong> A)H<sub>0: </sub>µ<sub>1 = </sub>µ<sub>2</sub> B)H<sub>0: </sub>µ<sub>1 </sub><sub>≠</sub><sub> </sub>µ<sub>2</sub> C)H<sub>1: </sub>µ<sub>1 = </sub>µ<sub>2</sub> D)H<sub>0: </sub> <sub> </sub>   <sub> </sub> <sub>1 =</sub><sub> </sub> <sub> </sub>   <sub> </sub> <sub>2</sub>
1 =
<strong>In a factorial ANOVA,one of the null hypotheses might look like ______.</strong> A)H<sub>0: </sub>µ<sub>1 = </sub>µ<sub>2</sub> B)H<sub>0: </sub>µ<sub>1 </sub><sub>≠</sub><sub> </sub>µ<sub>2</sub> C)H<sub>1: </sub>µ<sub>1 = </sub>µ<sub>2</sub> D)H<sub>0: </sub> <sub> </sub>   <sub> </sub> <sub>1 =</sub><sub> </sub> <sub> </sub>   <sub> </sub> <sub>2</sub>
2
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34
In a weight loss study you find that participants differ in amount of weight lost based on their gender.What type of effect is this?

A)interaction effect
B)factor effect
C)level effect
D)main effect
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35
What is it called when the analysis of data reveals differential effects of one factor across levels of another factor?

A)interaction effect
B)factor effect
C)level effect
D)main effect
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36
In a factorial ANOVA,the effect of one factor is called the ______.

A)interaction effect
B)main effect
C)differential effect
D)experimental effect
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37
When your analysis finds that participants in a weight loss study differ in amount of weight lost based on the type of weight loss program used,what type of effect is this called?

A)main effect
B)level effect
C)factor effect
D)interaction effect
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38
If you wanted to examine whether attitudes toward learning differ based on students' grade in school (i.e. ,first,second,third),what is the independent variable of interest?

A)grade level
B)students' attitudes
C)parents' attitudes
D)level of parent involvement
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39
When examining more than one factor,what type of ANOVA should be used?

A)one-way ANOVA
B)multivariate ANOVA
C)simple ANOVA
D)factorial ANOVA
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40
In a factorial ANOVA,one of the research hypotheses might look like ______.

A)H0: <strong>In a factorial ANOVA,one of the research hypotheses might look like ______.</strong> A)H<sub>0: </sub> <sub> </sub>   <sub> </sub> <sub>1 </sub><sub>≠</sub> <sub> </sub>   <sub> </sub> <sub>2</sub> B)H<sub>1: </sub> <sub> </sub>   <sub> </sub> <sub>1 =</sub> <sub> </sub>   <sub> </sub> <sub>2</sub> C)H<sub>1: </sub> <sub> </sub>   <sub> </sub> <sub>1 </sub><sub>≠</sub> <sub> </sub>   <sub> </sub> <sub>2</sub> D)H<sub>0: </sub> <sub> </sub>   <sub> </sub> <sub>1 =</sub> <sub> </sub>   <sub> </sub> <sub>2</sub>
1
<strong>In a factorial ANOVA,one of the research hypotheses might look like ______.</strong> A)H<sub>0: </sub> <sub> </sub>   <sub> </sub> <sub>1 </sub><sub>≠</sub> <sub> </sub>   <sub> </sub> <sub>2</sub> B)H<sub>1: </sub> <sub> </sub>   <sub> </sub> <sub>1 =</sub> <sub> </sub>   <sub> </sub> <sub>2</sub> C)H<sub>1: </sub> <sub> </sub>   <sub> </sub> <sub>1 </sub><sub>≠</sub> <sub> </sub>   <sub> </sub> <sub>2</sub> D)H<sub>0: </sub> <sub> </sub>   <sub> </sub> <sub>1 =</sub> <sub> </sub>   <sub> </sub> <sub>2</sub>
2
B)H1: <strong>In a factorial ANOVA,one of the research hypotheses might look like ______.</strong> A)H<sub>0: </sub> <sub> </sub>   <sub> </sub> <sub>1 </sub><sub>≠</sub> <sub> </sub>   <sub> </sub> <sub>2</sub> B)H<sub>1: </sub> <sub> </sub>   <sub> </sub> <sub>1 =</sub> <sub> </sub>   <sub> </sub> <sub>2</sub> C)H<sub>1: </sub> <sub> </sub>   <sub> </sub> <sub>1 </sub><sub>≠</sub> <sub> </sub>   <sub> </sub> <sub>2</sub> D)H<sub>0: </sub> <sub> </sub>   <sub> </sub> <sub>1 =</sub> <sub> </sub>   <sub> </sub> <sub>2</sub>
1 =
<strong>In a factorial ANOVA,one of the research hypotheses might look like ______.</strong> A)H<sub>0: </sub> <sub> </sub>   <sub> </sub> <sub>1 </sub><sub>≠</sub> <sub> </sub>   <sub> </sub> <sub>2</sub> B)H<sub>1: </sub> <sub> </sub>   <sub> </sub> <sub>1 =</sub> <sub> </sub>   <sub> </sub> <sub>2</sub> C)H<sub>1: </sub> <sub> </sub>   <sub> </sub> <sub>1 </sub><sub>≠</sub> <sub> </sub>   <sub> </sub> <sub>2</sub> D)H<sub>0: </sub> <sub> </sub>   <sub> </sub> <sub>1 =</sub> <sub> </sub>   <sub> </sub> <sub>2</sub>
2
C)H1: <strong>In a factorial ANOVA,one of the research hypotheses might look like ______.</strong> A)H<sub>0: </sub> <sub> </sub>   <sub> </sub> <sub>1 </sub><sub>≠</sub> <sub> </sub>   <sub> </sub> <sub>2</sub> B)H<sub>1: </sub> <sub> </sub>   <sub> </sub> <sub>1 =</sub> <sub> </sub>   <sub> </sub> <sub>2</sub> C)H<sub>1: </sub> <sub> </sub>   <sub> </sub> <sub>1 </sub><sub>≠</sub> <sub> </sub>   <sub> </sub> <sub>2</sub> D)H<sub>0: </sub> <sub> </sub>   <sub> </sub> <sub>1 =</sub> <sub> </sub>   <sub> </sub> <sub>2</sub>
1
<strong>In a factorial ANOVA,one of the research hypotheses might look like ______.</strong> A)H<sub>0: </sub> <sub> </sub>   <sub> </sub> <sub>1 </sub><sub>≠</sub> <sub> </sub>   <sub> </sub> <sub>2</sub> B)H<sub>1: </sub> <sub> </sub>   <sub> </sub> <sub>1 =</sub> <sub> </sub>   <sub> </sub> <sub>2</sub> C)H<sub>1: </sub> <sub> </sub>   <sub> </sub> <sub>1 </sub><sub>≠</sub> <sub> </sub>   <sub> </sub> <sub>2</sub> D)H<sub>0: </sub> <sub> </sub>   <sub> </sub> <sub>1 =</sub> <sub> </sub>   <sub> </sub> <sub>2</sub>
2
D)H0: <strong>In a factorial ANOVA,one of the research hypotheses might look like ______.</strong> A)H<sub>0: </sub> <sub> </sub>   <sub> </sub> <sub>1 </sub><sub>≠</sub> <sub> </sub>   <sub> </sub> <sub>2</sub> B)H<sub>1: </sub> <sub> </sub>   <sub> </sub> <sub>1 =</sub> <sub> </sub>   <sub> </sub> <sub>2</sub> C)H<sub>1: </sub> <sub> </sub>   <sub> </sub> <sub>1 </sub><sub>≠</sub> <sub> </sub>   <sub> </sub> <sub>2</sub> D)H<sub>0: </sub> <sub> </sub>   <sub> </sub> <sub>1 =</sub> <sub> </sub>   <sub> </sub> <sub>2</sub>
1 =
<strong>In a factorial ANOVA,one of the research hypotheses might look like ______.</strong> A)H<sub>0: </sub> <sub> </sub>   <sub> </sub> <sub>1 </sub><sub>≠</sub> <sub> </sub>   <sub> </sub> <sub>2</sub> B)H<sub>1: </sub> <sub> </sub>   <sub> </sub> <sub>1 =</sub> <sub> </sub>   <sub> </sub> <sub>2</sub> C)H<sub>1: </sub> <sub> </sub>   <sub> </sub> <sub>1 </sub><sub>≠</sub> <sub> </sub>   <sub> </sub> <sub>2</sub> D)H<sub>0: </sub> <sub> </sub>   <sub> </sub> <sub>1 =</sub> <sub> </sub>   <sub> </sub> <sub>2</sub>
2
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41
In the main effect F(1,9) = 1.67,p = 0.229,what is the level of significance?

A)1
B)9
C)1.67
D)0.229
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42
A researcher wants to create an intervention to improve the well-being of graduate students in a counseling program,so she gives one group of students specific doses of rocky road ice cream,the second group of students specific doses of licorice,and the third group of students specific doses of chewy fruit-flavored candies for their treatments.As a second factor,she includes students in their first semester of their first year of graduate school as one cohort and students in the first semester of their second year of graduate school as the other cohort.The first factor in this intervention would be ______,the second factor would be ______,and the dependent variable would be ______.

A)type of treatment;cohort;well-being
B)well-being;students;cohort
C)well-being;cohort;type of treatment
D)type of treatment;well-being;cohort
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43
If you wanted to examine whether television viewing through social learning differs based on students' grade in school (i.e. ,first,second,third),what is the independent variable of interest?

A)grade level
B)television viewing
C)students
D)school
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44
The factorial ANOVA is used when you have multiple independent variables.
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45
In the main effect F(1,9) = 1.67,p = 0.229,what is the obtained value?

A)1
B)9
C)1.67
D).229
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46
How many times are subjects measured in the factorial ANOVA?

A)only once
B)exactly twice
C)once or more
D)twice or more
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47
In a factorial ANOVA,the research hypothesis for the interaction might look like ______.

A)H1: µupper × new = µupper × returning = µmiddle × new = µmiddle × returning
B)H0: µupper × new ≠ µupper × returning µmiddle × new ≠ µmiddle × returning
C)H1: upper × new = upper × returning = middle × new = middle × returning
D)H1: upper × new upper × returning middle × new middle × returning
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48
In the main effect F(1,12) = 5.25,p < 0.05,what does the symbol p stand for?

A)the obtained value
B)the critical value
C)the probability level
D)the correlation
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49
If you wanted to examine whether television viewing through social learning differs based on students' grade in school (i.e. ,first,second,third),what is the dependent variable of interest?

A)grade level
B)television viewing
C)students
D)school
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50
Dr.Moo conducted a research project in which she compared the impact of two types of therapy (pizza therapy and chocolate therapy)and gender on college students' happiness.What is the following table called? <strong>Dr.Moo conducted a research project in which she compared the impact of two types of therapy (pizza therapy and chocolate therapy)and gender on college students' happiness.What is the following table called?  </strong> A)results table B)outcome table C)variable table D)source table

A)results table
B)outcome table
C)variable table
D)source table
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51
What is the two-way analysis of variance?

A)one-way ANOVA
B)factorial ANOVA
C)simple ANOVA
D)complex ANOVA
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52
A researcher wants to create an intervention to improve the well-being of graduate students in a counseling program,so she gives one group of students specific doses of rocky road ice cream,the second group of students specific doses of licorice,and the third group of students specific doses of chewy fruit-flavored candies for their treatments.As a second factor,she includes students in their first semester of their first year of graduate school as one cohort and students in the first semester of their second year of graduate school as the other cohort.To analyze the differences in well-being between the students in the three different "treatments" and two cohorts,she would use a(n)______.

A)analysis of covariance
B)analysis of variance
C)factorial analysis of variance
D)repeated-measures analysis of variance
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53
In a factorial ANOVA,one of the null hypotheses for a main effect might look like ______.

A)H0: µmale = µ2female
B)H1: µmale = µfemale = µage
C)H1: <strong>In a factorial ANOVA,one of the null hypotheses for a main effect might look like ______.</strong> A)H<sub>0: </sub>µ<sub>male = </sub>µ<sub>2female</sub> B)H<sub>1: </sub>µ<sub>male = </sub>µ<sub>female = </sub>µ<sub>age</sub> C)H<sub>1: </sub> <sub> </sub>   <sub> </sub> <sub>male =</sub> <sub> </sub>   <sub> </sub> <sub>female</sub> D)H<sub>0: </sub> <sub> </sub>   <sub> </sub> <sub>male </sub><sub>≠</sub> <sub> </sub>   <sub> </sub> <sub>female</sub>
male =
<strong>In a factorial ANOVA,one of the null hypotheses for a main effect might look like ______.</strong> A)H<sub>0: </sub>µ<sub>male = </sub>µ<sub>2female</sub> B)H<sub>1: </sub>µ<sub>male = </sub>µ<sub>female = </sub>µ<sub>age</sub> C)H<sub>1: </sub> <sub> </sub>   <sub> </sub> <sub>male =</sub> <sub> </sub>   <sub> </sub> <sub>female</sub> D)H<sub>0: </sub> <sub> </sub>   <sub> </sub> <sub>male </sub><sub>≠</sub> <sub> </sub>   <sub> </sub> <sub>female</sub>
female
D)H0: <strong>In a factorial ANOVA,one of the null hypotheses for a main effect might look like ______.</strong> A)H<sub>0: </sub>µ<sub>male = </sub>µ<sub>2female</sub> B)H<sub>1: </sub>µ<sub>male = </sub>µ<sub>female = </sub>µ<sub>age</sub> C)H<sub>1: </sub> <sub> </sub>   <sub> </sub> <sub>male =</sub> <sub> </sub>   <sub> </sub> <sub>female</sub> D)H<sub>0: </sub> <sub> </sub>   <sub> </sub> <sub>male </sub><sub>≠</sub> <sub> </sub>   <sub> </sub> <sub>female</sub>
male
<strong>In a factorial ANOVA,one of the null hypotheses for a main effect might look like ______.</strong> A)H<sub>0: </sub>µ<sub>male = </sub>µ<sub>2female</sub> B)H<sub>1: </sub>µ<sub>male = </sub>µ<sub>female = </sub>µ<sub>age</sub> C)H<sub>1: </sub> <sub> </sub>   <sub> </sub> <sub>male =</sub> <sub> </sub>   <sub> </sub> <sub>female</sub> D)H<sub>0: </sub> <sub> </sub>   <sub> </sub> <sub>male </sub><sub>≠</sub> <sub> </sub>   <sub> </sub> <sub>female</sub>
female
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54
Dr.Moo conducted a research project in which she compared the impact of two types of therapy (pizza therapy and chocolate therapy)and gender on college students' happiness.Which of the following can be confirmed by the table below? <strong>Dr.Moo conducted a research project in which she compared the impact of two types of therapy (pizza therapy and chocolate therapy)and gender on college students' happiness.Which of the following can be confirmed by the table below?  </strong> A)There is no interaction effect B)There is a main effect of gender. C)There is an interaction effect. D)There is a main effect of therapy.

A)There is no interaction effect
B)There is a main effect of gender.
C)There is an interaction effect.
D)There is a main effect of therapy.
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55
To examine the impact of three different types of wall paint colors (blue,green,and yellow)on how often toddlers cry,which test is appropriate to use?

A)factorial ANOVA
B)t-test for dependent samples
C)t-test for independent samples
D)one-way ANOVA
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56
In a factorial ANOVA,the null hypothesis for the interaction might look like ______.

A)H0: µupper × new = µupper × returning = µmiddle × new = µmiddle × returning
B)H0: µupper × new ≠ µupper × returning µmiddle × new ≠ µmiddle × returning
C)H1: upper × new = upper × returning = middle × new = middle × returning
D)H1: upper × new upper × returning middle × new middle × returning
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57
You wish to examine the impact of two different types of music (pop music and jazz music)and pet food served (wet food and dry food)on how often cats glare at their owners.Which test is appropriate to use?

A)factorial ANOVA
B)t-test for dependent samples
C)t-test for independent samples
D)one-way ANOVA
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58
In the main effect F(1,12) = 5.25,p < 0.05,what is the number of 5.25?

A)the obtained value
B)the critical value
C)the probability level
D)the correlation
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59
In what circumstance do you use the factorial ANOVA?

A)when you have one independent variable
B)when you have more than one independent variable
C)when you have two dependent variables
D)when you have two or more dependent variables
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60
When results show a difference between levels of a factor,this difference is called ______.

A)an interaction effect
B)a factor effect
C)a level effect
D)a main effect
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61
What is a factorial ANOVA?
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62
When an independent variable has a significant effect on the outcome variable,you have a main effect.
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63
What three questions can you answer by doing a 2 × 2 factorial analysis?
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64
The source table lists sources of variance in an analysis of variance.
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65
One of the easiest ways to see the magnitude of an interaction (or the absence of one)in a factorial ANOVA is to plot the means.
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66
When should you use a factorial ANOVA instead of a simple ANOVA?
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67
The factorial ANOVA can test main effects but not interaction effects.
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68
The test statistic used in the factorial ANOVA is the T-test.
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69
What are the three null hypotheses used in a 2 × 2 factorial analysis?
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70
What is a main effect?
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71
Dr.Moo conducted a research project in which she compared the impact of two types of therapy (pizza therapy and chocolate therapy)and gender on college students' happiness.How many research hypotheses did she have,and how would you write them?
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72
An interaction effect is a phenomenon where the effect of one independent variable on the dependent variable differs based on the level of a second independent variable.
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73
Why do we use SPSS to calculate a factorial ANOVA?
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74
If your main effects are significant,your interaction effects will also be significant in all cases.
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75
In the factorial ANOVA,participants are tested only once.
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76
What are the three research hypotheses used in a 2 × 2 factorial analysis?
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77
Interaction effects are between independent variables.
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