Question 1

Each main effect in a two-way analysis of variance has a null hypothesis and an alternative hypothesis associated with it.

Accepted Answer

A) True 
 B)False

Question 2

Due to the role of sampling error,nonequivalent sample means do not necessarily indicate nonequivalent population means.

Accepted Answer

A) True 
 B)False

Question 3

The joint effect of two independent variables on a dependent variable is indicated by the ____ effect when a two-way factorial analysis is used.

Accepted Answer

A) main 
B) simple 
C) significant 
D) interaction 
A) main 
B) simple 
C) significant 
D) interaction

Question 4

In a two-way ANOVA,there are two ____________________,and one interaction.

Accepted Answer

The answer of In a two-way ANOVA,there are two ____________________,and...

Question 5

What is an interaction effect?

Accepted Answer

An interaction effect refers to the comp

Question 6

One statistical technique for analyzing the relationship between a dependent variable and two or more independent variables is ____.

Accepted Answer

A) rank-order correlation 
B) two-way between-subjects analysis of variance 
C) repeated measures analysis of variance 
D) Kruskal-Wallis analysis of variance 
A) rank-order correlation 
B) two-way between-subjects analysis of variance 
C) repeated measures analysis of variance 
D) Kruskal-Wallis analysis of variance

Question 7

Interaction comparisons focus on _____ within a factorial design.

Accepted Answer

A) simple main effects 
B) a priori effects 
C) main effects 
D) 2 X 2 subtables 
A) simple main effects 
B) a priori effects 
C) main effects 
D) 2 X 2 subtables

Question 8

What is one of the main advantages of the two-way between-subjects factorial design?

Accepted Answer

A) Participants participate in all groups. 
B) The joint effect of two variables can be examined. 
C) Sample size requirements are quite small. 
D) Normally distributed data is not requireD. 
A) Participants participate in all groups. 
B) The joint effect of two variables can be examined. 
C) Sample size requirements are quite small. 
D) Normally distributed data is not requireD.

Question 9

When dealing with population means,the determination of whether an interaction is present is most readily made by examining the slopes of the lines in a given graph.

Accepted Answer

A) True 
 B)False

Question 10

When data are presented graphically,the presence of an interaction is suggested by parallel lines.

Accepted Answer

A) True 
 B)False

Question 11

An interaction effect refers to the case where the nature or strength of the relationship between one of the independent variables and the dependent variable differs as a function of the:

Accepted Answer

A) sample size 
B) number of variables 
C) dependent variable 
D) other independent variable 
A) sample size 
B) number of variables 
C) dependent variable 
D) other independent variable

Question 12

F(2,21)= 45.00,p2 = .18.
According to the above F statement,the value computed for the F ratio is:

Accepted Answer

A) 2 
B) 21 
C) 45.00 
D) .18 
A) 2 
B) 21 
C) 45.00 
D) .18

Question 13

Two-way factorial designs allow us to address three important questions.What are they?

Accepted Answer

Two-way factorial designs allow us to ad

Question 14

If a statistically significant main effect has three or more levels,then the nature of the relationship is determined using a(n):

Accepted Answer

A) Tukey HSD procedure 
B) informal examination of sample means 
C) F ratio 
D) t ratio 
A) Tukey HSD procedure 
B) informal examination of sample means 
C) F ratio 
D) t ratio

Question 15

Under what conditions is the two-way between-subjects analysis of variance used?

Accepted Answer

The conditions for using two-way between

Question 16

When examining a plot of population means for a two-way ANOVA,what is the simplest way to tell if there is an interaction?

Accepted Answer

A) The two lines will NOT cross. 
B) The two lines will be parallel. 
C) The two lines will NOT be parallel. 
D) There will be a curve in both lines. 
A) The two lines will NOT cross. 
B) The two lines will be parallel. 
C) The two lines will NOT be parallel. 
D) There will be a curve in both lines.

Question 17

In the case of highly different sample sizes across groups,the robustness of the F test to non-normality and variance heterogeneity often _____,sometimes considerably so.

Accepted Answer

A) diminishes 
B) increases 
C) fluctuates 
D) none of these 
A) diminishes 
B) increases 
C) fluctuates 
D) none of these

Question 18

What form does a main effect take in a two-way analysis of variance?

Accepted Answer

Each main effect in a two-way analysis o

Question 19

The critical F value for degrees of freedom (1,76)is 3.96.   
  
The joint effects of Variable A and Variable B on the DV is tested using the F ratio for the _____ effect.

Accepted Answer

A) main 
B) simple 
C) interaction 
D) total 
A) main 
B) simple 
C) interaction 
D) total

Question 20

The principles for detecting main effects and interactions are not readily generalizable from 2 x 2 designs to designs with more than two levels for one or both factors.

Accepted Answer

A) True 
 B)False

Each main effect in a two-way analysis of variance has a null hypothesis and an alternative hypothesis associated with it.

Due to the role of sampling error,nonequivalent sample means do not necessarily indicate nonequivalent population means.

The joint effect of two independent variables on a dependent variable is indicated by the ____ effect when a two-way factorial analysis is used.

In a two-way ANOVA,there are two ____________________,and one interaction.

What is an interaction effect?

One statistical technique for analyzing the relationship between a dependent variable and two or more independent variables is ____.

Interaction comparisons focus on _____ within a factorial design.

What is one of the main advantages of the two-way between-subjects factorial design?

When dealing with population means,the determination of whether an interaction is present is most readily made by examining the slopes of the lines in a given graph.

When data are presented graphically,the presence of an interaction is suggested by parallel lines.

An interaction effect refers to the case where the nature or strength of the relationship between one of the independent variables and the dependent variable differs as a function of the:

F(2,21)= 45.00,p< .05,with eta² = .18. According to the above F statement,the value computed for the F ratio is:

Two-way factorial designs allow us to address three important questions.What are they?

If a statistically significant main effect has three or more levels,then the nature of the relationship is determined using a(n):

Under what conditions is the two-way between-subjects analysis of variance used?

When examining a plot of population means for a two-way ANOVA,what is the simplest way to tell if there is an interaction?

In the case of highly different sample sizes across groups,the robustness of the F test to non-normality and variance heterogeneity often _____,sometimes considerably so.

What form does a main effect take in a two-way analysis of variance?

The critical F value for degrees of freedom (1,76)is 3.96. The joint effects of Variable A and Variable B on the DV is tested using the F ratio for the _____ effect.

The principles for detecting main effects and interactions are not readily generalizable from 2 x 2 designs to designs with more than two levels for one or both factors.

Introduction and Mathematical Preliminaries

Frequency and Probability Distributions

Measures of Central Tendency and Variability

Percentiles,percentile Ranks,standard Scores,and the Normal Distribution

Pearson Correlation and Regression: Descriptive Aspects

Probability

Estimation and Sampling Distributions

Hypothesis Testing: Inferences About a Single Mean

Principles of Research Design and Statistical Preliminaries for Analyzing Bivariate Relationships

Independent Groups T-Test

Correlated Groups T-Test

One-Way Repeated Measures Analysis of Variance

Pearson Correlation and Regression: Inferential Aspects

Chi-Square Test

Nonparametric Statistics

Overview and Extension: Statistical Tests for More Complex Designs

Filters

Exam 16: Two-Way Between-Subjects Analysis of Variance

Each main effect in a two-way analysis of variance has a null hypothesis and an alternative hypothesis associated with it.

Due to the role of sampling error,nonequivalent sample means do not necessarily indicate nonequivalent population means.

The joint effect of two independent variables on a dependent variable is indicated by the ____ effect when a two-way factorial analysis is used.

In a two-way ANOVA,there are two ____________________,and one interaction.

What is an interaction effect?

One statistical technique for analyzing the relationship between a dependent variable and two or more independent variables is ____.

Interaction comparisons focus on _____ within a factorial design.

What is one of the main advantages of the two-way between-subjects factorial design?

When dealing with population means,the determination of whether an interaction is present is most readily made by examining the slopes of the lines in a given graph.

When data are presented graphically,the presence of an interaction is suggested by parallel lines.

An interaction effect refers to the case where the nature or strength of the relationship between one of the independent variables and the dependent variable differs as a function of the:

F(2,21)= 45.00,p< .05,with eta2 = .18. According to the above F statement,the value computed for the F ratio is:

Two-way factorial designs allow us to address three important questions.What are they?

If a statistically significant main effect has three or more levels,then the nature of the relationship is determined using a(n):

Under what conditions is the two-way between-subjects analysis of variance used?

When examining a plot of population means for a two-way ANOVA,what is the simplest way to tell if there is an interaction?

In the case of highly different sample sizes across groups,the robustness of the F test to non-normality and variance heterogeneity often _____,sometimes considerably so.

What form does a main effect take in a two-way analysis of variance?

The critical F value for degrees of freedom (1,76)is 3.96. The joint effects of Variable A and Variable B on the DV is tested using the F ratio for the _____ effect.

The principles for detecting main effects and interactions are not readily generalizable from 2 x 2 designs to designs with more than two levels for one or both factors.

Introduction and Mathematical Preliminaries

Frequency and Probability Distributions

Measures of Central Tendency and Variability

Percentiles,percentile Ranks,standard Scores,and the Normal Distribution

Pearson Correlation and Regression: Descriptive Aspects

Probability

Estimation and Sampling Distributions

Hypothesis Testing: Inferences About a Single Mean

Principles of Research Design and Statistical Preliminaries for Analyzing Bivariate Relationships

Independent Groups T-Test

Correlated Groups T-Test

One-Way Repeated Measures Analysis of Variance

Pearson Correlation and Regression: Inferential Aspects

Chi-Square Test

Nonparametric Statistics

Overview and Extension: Statistical Tests for More Complex Designs

Filters

F(2,21)= 45.00,p< .05,with eta² = .18. According to the above F statement,the value computed for the F ratio is: