Question 1

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

Accepted Answer

An interaction effect occurs when the effect of one independent variable on the dependent variable changes depending on the level of another independent variable. In this case, the effect of the type of weight loss program on weight loss differs between males and females, indicating an interaction effect. A factor effect would refer to the effect of a specific independent variable, while a level effect would refer to the effect of a specific level of an independent variable. A main effect occurs when the independent variable has a significant effect on the dependent variable regardless of any other variables.

Question 2

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

Accepted Answer

A repeated measures ANOVA would be appropriate because we are measuring the same group of students' achievement level before and after the intervention, where each student serves as their own control.

Question 3

How many null hypotheses are associated with a two-way ANOVA?
A)one
B)two
C)three
D)four

Accepted Answer

A two-way ANOVA involves three null hypotheses: one for each of the two independent variables and one for the interaction between the two independent variables.

Question 4

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

Accepted Answer

A multivariate ANOVA is designed to analyze the relationship between multiple dependent variables and one or more independent variables. It allows for the measurement of the effect of the independent variable(s) on all of the dependent variables simultaneously. Therefore, it is the best choice for examining more than one dependent variable or outcome. One-way ANOVA compares one dependent variable across different groups, univariate ANOVA is the analysis of one dependent variable, and two-way ANOVA examines the effects of two independent variables on one dependent variable.

Question 5

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

Accepted Answer

Univariate ANOVA is used to analyze one dependent variable or outcome. Multivariate ANOVA is used to analyze multiple dependent variables simultaneously. Simple ANOVA typically refers to a one-factor ANOVA analysis, which may be one-way or two-way. One-way ANOVA is used to analyze the differences between groups on a single independent variable with three or more levels. Therefore, univariate ANOVA is the best choice in this scenario as it fits the description of analyzing one dependent variable or outcome.

Question 6

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

Accepted Answer

A one-way ANOVA is used when there is only one type of treatment or grouping factor with more than two levels.

Question 7

In a factorial ANOVA,one of the research hypotheses for a main effect might look like ______. A)H_0:µ_{male =}µ_2female B)H_1: _male_≠ _female C)H_1: _{male =} _female D)H_1:µ_{male =}µ_{female =}µ_age

Accepted Answer

The answer of In a factorial ANOVA,one of the research...

Question 8

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

Accepted Answer

A 2 × 3 ANOVA would allow for examining the effects of both gender (2 levels) and school type (3 levels) on the scale of student attitudes toward learning. This design would allow for testing the main effects of each factor (i.e., the effect of gender and the effect of school type), as well as the interaction between these factors (i.e., whether the effect of gender differs depending on school type or vice versa). The 2 × 2 ANOVA would only allow for examining two levels of one factor and two levels of another factor, which would not allow for the examination of school type. The 3 × 3 ANOVA would allow for examining three levels of each factor, but would not be necessary if only two levels of one factor (gender) and three levels of another factor (school type) are of interest. A simple ANOVA refers to a one-way ANOVA with only one group factor, which is not suitable for examining the effects of both gender and school type.

Question 9

How many null hypotheses are used in a 2 × 2 factorial ANOVA?
A)1
B)2
C)3
D)4

Accepted Answer

In a 2 × 2 factorial ANOVA, there are three null hypotheses: one for each of the two main effects and one for the interaction effect between the two factors.

Question 10

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

Accepted Answer

A 2 × 2 ANOVA is used to examine the effects of two independent variables (in this case, gender and SES, each with two levels: male/female and high SES/low SES) on a dependent variable (student achievement). This design allows for the examination of both the main effects of each independent variable and their interaction effect on the dependent variable.

Question 11

How many research hypotheses are used in a 2 × 2 factorial ANOVA?
A)1
B)2
C)3
D)4

Accepted Answer

In a 2 × 2 factorial ANOVA, there are typically three research hypotheses: one for each of the two main effects and one for the interaction effect between the two factors.

Question 12

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

Accepted Answer

A 3 x 2 ANOVA is appropriate as there are three levels of political party affiliation (Democrat, Republican, Independent) and two levels of gender (male, female). This allows for examination of the main effects of political party affiliation and gender, as well as their interaction effect on attitudes toward the death penalty.

Question 13

In a factorial ANOVA,one of the null hypotheses might look like ______. A)H_0:µ_{1 =}µ₂ B)H_0:µ₁_≠µ₂ C)H_1:µ_{1 =}µ₂ D)H_0: _{1 =} ₂

Accepted Answer

The answer of In a factorial ANOVA,one of the null...

Question 14

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

Accepted Answer

This is a main effect as it refers to the overall effect of one variable (gender) on the outcome variable (amount of weight lost) without considering any other variables.

Question 15

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

Accepted Answer

When the analysis of data reveals differential effects of one factor across levels of another factor, it is called an interaction effect.

Question 16

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

Accepted Answer

The effect of one factor in a factorial ANOVA is called the main effect.

Question 17

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

Accepted Answer

This is called a main effect because it describes the direct impact of an independent variable (in this case, the type of weight loss program) on a dependent variable (amount of weight lost).

Question 18

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

Accepted Answer

The independent variable of interest is the variable that is being manipulated by the researcher to see if it affects the dependent variable (attitudes toward learning). In this case, the independent variable is the grade level of the students, as the researcher is interested in seeing if attitudes toward learning differ based on whether a student is in first, second, or third grade.

Question 19

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

Accepted Answer

Factorial ANOVA is the appropriate choice when examining more than one factor. This type of ANOVA allows for the examination of the main effects of each factor as well as any interaction effects between the factors.

Question 20

In a factorial ANOVA,one of the research hypotheses might look like ______. A)H_0: ₁_≠ ₂ B)H_1: _{1 =} ₂ C)H_1: ₁_≠ ₂ D)H_0: _{1 =} ₂

Accepted Answer

The answer of In a factorial ANOVA,one of the research...

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

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?

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?

How many null hypotheses are associated with a two-way ANOVA?

An analysis that examines more than one dependent variable or outcome is known as ______ ANOVA.

An analysis examining one dependent variable or outcome is known as ______ ANOVA.

What type of ANOVA is used when there is only one type of treatment or grouping factor with more than two levels?

In a factorial ANOVA,one of the research hypotheses for a main effect might look like ______.

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?

How many null hypotheses are used in a 2 × 2 factorial ANOVA?

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?

How many research hypotheses are used in a 2 × 2 factorial ANOVA?

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?

In a factorial ANOVA,one of the null hypotheses might look like ______.

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?

What is it called when the analysis of data reveals differential effects of one factor across levels of another factor?

In a factorial ANOVA,the effect of one factor is called the ______.

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?

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?

When examining more than one factor,what type of ANOVA should be used?

In a factorial ANOVA,one of the research hypotheses might look like ______.